KI-Wissensfluss · Forschungsnachnutzung

Wohin fließt Wissen aus geförderter KI-Forschung?

Der Index verbindet deutsche Beteiligungen an EU-KI-Projekten mit ihren gemeldeten Forschungsoutputs und beobachtet über exakte DOI- und OpenAlex-Kennungen, wo diese Arbeiten weiter zitiert werden.

Exakte Kennungen statt NamensabgleichVollbestand und OpenAlex-Lauf getrenntKein generatives KI-Modell
Vollständiger OpenAlex-SuchlaufCollector geprüft 01. Aug. 2026, 10:42Quelldaten bis 11. Mai 2026Aufzeichnung seit 22. Juli 2026Revision 2
Vollbestand · CORDIS + OpenAIRE

Die belastbare Basis

Vollbestand geprüft

Projekt- und Output-Aggregate stammen aus dem vollständig geprüften Transferbestand. Sie werden nicht aus dem OpenAlex-Lauf hochgerechnet.

gemeldete Forschungsoutputs im Vollbestand
52.740
Outputs mit mindestens einer DOI
37.596
71,3 %
eindeutige DOI-Kennungen im Vollbestand
64.372
gemeldete OpenAIRE-Zitationen
730.274
Vollständiger OpenAlex-Suchlauf

Der beobachtete Wissensfluss

Alle DOI-Outputs mindestens einmal aufgelöst

Der vollständige Suchlauf verarbeitet den konfigurierten DOI-Bestand über exakte OpenAlex-Kennungen. Nicht auflösbare DOI bleiben als Lücken sichtbar; Titel und Namen werden nicht abgeglichen.

DOI-Outputs im OpenAlex-Lauf
37.596
DOI-Kennungen im OpenAlex-Lauf
64.372
davon exakt in OpenAlex aufgelöst
28.232
beobachtete Output-Zitationskanten
807.946
Auswahlregel: jeder DOI-tragende Output im konfigurierten Bestand; kein Titel- oder Namensabgleich
180 Treffer
Output → zitierende Arbeit → Institution

Exakt beobachtete Wissenswege

Wähl einen Output und sieh, welche Arbeiten ihn referenzieren und welche Institutionen OpenAlex dafür meldet. Die Grafik zeigt höchstens fünf Outputs und je acht jüngste zitierende Arbeiten; die Kennzahlen zählen alle beobachteten Kanten des aktiven OpenAlex-Laufs. Personen- und Autorendaten werden nicht veröffentlicht.

Vollständiger OpenAlex-SuchlaufAlle DOI-Outputs mindestens einmal aufgelöst

Geförderter Output
Zitierende Institutionen
Wissensfluss vom geförderten Forschungsoutput zu zitierenden InstitutionenWähl einen Output und sieh, welche Arbeiten ihn referenzieren und welche Institutionen OpenAlex dafür meldet. Die Grafik zeigt höchstens fünf Outputs und je acht jüngste zitierende Arbeiten; die Kennzahlen zählen alle beobachteten Kanten des aktiven OpenAlex-Laufs. Personen- und Autorendaten werden nicht veröffentlicht.
Deutsches Diabetes-Zentrum e.V.DE · 2 Zitierende Arbeiten
Forschungszentrum JülichDE · 2 Zitierende Arbeiten
German Center for Diabetes ResearchDE · 2 Zitierende Arbeiten
Goethe University FrankfurtDE · 2 Zitierende Arbeiten
Heinrich Heine University DüsseldorfDE · 2 Zitierende Arbeiten
Ludwig-Maximilians-Universität MünchenDE · 2 Zitierende Arbeiten
Medical University of ViennaAT · 2 Zitierende Arbeiten
Jüngste öffentlich dargestellte Verbindungen · höchstens acht Arbeiten je Output
ForschungsoutputZitierende ArbeitenZitierende InstitutionenLand
Spintronik ve termoelektrik uygulamalar için TiFeGa alaşımının yapısal, mekanik ve elektronik özellikleriAhi Evran UniversityTR
Minimizing propagated density errors of atomic core-electron for simultaneously accurate bandgaps and lattice constants in closed-shell copper semiconductorsBeijing Institute of Optoelectronic TechnologyCN
Minimizing propagated density errors of atomic core-electron for simultaneously accurate bandgaps and lattice constants in closed-shell copper semiconductorsBeijing Institute of TechnologyCN
Ab initio study of spin-orbit coupling in bilayer MoSe2 and WSe2Belarusian State UniversityBY
Fluorination and F-vacancy engineering in Zr2O-based MOenes for photocatalytic hydrogen evolutionHarbin Institute of TechnologyCN
Minimizing propagated density errors of atomic core-electron for simultaneously accurate bandgaps and lattice constants in closed-shell copper semiconductorsInstitute of Applied PhysicsUA
Minimizing propagated density errors of atomic core-electron for simultaneously accurate bandgaps and lattice constants in closed-shell copper semiconductorsInstitute of Applied Physics and Computational MathematicsCN
First-principles energy calculations for steps and vicinal surfaces of polar zincblende silicon carbide by generalizing wedge-geometry methodInstitution nicht gemeldetunbekannt
Minimizing propagated density errors of atomic core-electron for simultaneously accurate bandgaps and lattice constants in closed-shell copper semiconductorsRensselaer Polytechnic InstituteUS
Lithium‐Decorated Square–Hexagon–Octagon Graphene as a Promising Two‐Dimensional Material for High‐Capacity Hydrogen Storage: Insights From Density Functional Theory With Dispersion Corrections and Molecular Dynamics SimulationsUniversité Hassan II MohammediaMA
Lithium‐Decorated Square–Hexagon–Octagon Graphene as a Promising Two‐Dimensional Material for High‐Capacity Hydrogen Storage: Insights From Density Functional Theory With Dispersion Corrections and Molecular Dynamics SimulationsUniversity of Hassan II CasablancaMA
Investigating the Structural, Elastic, Electrical, and Thermodynamic Characteristics of NbCoSn and VRhSn Half-Heusler Compounds Using First-Principles CalculationsUniversity of Science and Technology of BeninBJ
First principles exploration of high hydrogen storage capacity of lithium-based perovskite hydridesWalter Sisulu UniversityZA
TextDTI: A Multimodal Context Representation Learning Framework for Drug–Target Interaction PredictionBeijing University of Chinese MedicineCN
MSF-LCC: multi-scale spatial-frequency feature learning framework for land cover classification from cross-domain datasetsChinese Academy of SciencesCN
MSF-LCC: multi-scale spatial-frequency feature learning framework for land cover classification from cross-domain datasetsGuilin University of Electronic TechnologyCN
ViralMap: predicting features in viral proteins from primary sequenceHouston MethodistUS
Quantifying the spatial information loss of Dose-Volume Histograms in Gamma Knife radiosurgery via unsupervised 3D dose geometry embeddingInstitute for PhysicsUS
Improving Arabic clinical question quality through domain-adaptive masked language modelingInstituto Superior da MaiaPT
Semi-Supervised Marginal Likelihood Training with Curriculum-Guided Rewriting for Low-Resource Machine TranslationIntelligent Systems Research (United States)US
Biometric Identification based on an EEG Signal Using an Attention-enhanced Bidirectional GRU NetworkInternational Burch UniversityBA
MSF-LCC: multi-scale spatial-frequency feature learning framework for land cover classification from cross-domain datasetsInternational Research Center of Big Data for Sustainable Development GoalsCN
Biometric Identification based on an EEG Signal Using an Attention-enhanced Bidirectional GRU NetworkIstanbul UniversityTR
Semi-Supervised Marginal Likelihood Training with Curriculum-Guided Rewriting for Low-Resource Machine TranslationMinzu University of ChinaCN
Quantifying the spatial information loss of Dose-Volume Histograms in Gamma Knife radiosurgery via unsupervised 3D dose geometry embeddingMohamed I UniversityMA
ViralMap: predicting features in viral proteins from primary sequenceRice UniversityUS
Easr: expression aware supervision and refinement for in-the-wild facial expression recognitionShanghai Jiao Tong UniversityCN
Easr: expression aware supervision and refinement for in-the-wild facial expression recognitionShanghai UniversityCN
Easr: expression aware supervision and refinement for in-the-wild facial expression recognitionShanghai University of Engineering ScienceCN
TextDTI: A Multimodal Context Representation Learning Framework for Drug–Target Interaction PredictionShenzhen UniversityCN
TextDTI: A Multimodal Context Representation Learning Framework for Drug–Target Interaction PredictionSouthern University of Science and TechnologyCN
MSF-LCC: multi-scale spatial-frequency feature learning framework for land cover classification from cross-domain datasetsTen Chen HospitalTW
Improving Arabic clinical question quality through domain-adaptive masked language modelingUniversité Moulay Ismail de MeknesMA
MSF-LCC: multi-scale spatial-frequency feature learning framework for land cover classification from cross-domain datasetsUniversity of Chinese Academy of SciencesCN
Processing and release of the maize phytocytokine Zip1Birla Institute of Technology and Science, PilaniIN
Transaldolase 1 contributes to pentose phosphate pathway disruption and synaptic dysfunction in Alzheimer’s diseaseCenter for Excellence in Molecular Cell ScienceCN
Time-resolved proteomic adaptation of multidrug-resistant Acinetobacter baumannii to antimicrobial stress induced by partially purified fraction from Caesalpinia pulcherrima flower using DEqMSCenter for InnovationUS
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingCentre for Biomedical Network Research on Rare DiseasesES
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaCentre National de la Recherche ScientifiqueFR
Metabolomic Signatures of Biotrauma Associated with Mortality in ICU Patients Requiring Invasive Mechanical Ventilation and ECMOCentro Hospitalar Lisboa NortePT
Processing and release of the maize phytocytokine Zip1Cluster of Excellence on Plant SciencesDE
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsCologne Excellence Cluster on Cellular Stress Responses in Aging Associated DiseasesDE
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsDeutsches Diabetes-Zentrum e.V.DE
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingDuke-NUS Medical SchoolSG
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsDüsseldorf University HospitalDE
Processing and release of the maize phytocytokine Zip1Forschungszentrum JülichDE
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsGerman Center for Diabetes ResearchDE
Short-chain fatty acids activate the glutamate-dependent acid resistance system via the tRNA-modifying Mnm pathway in Escherichia coliGoethe University FrankfurtDE
Short-chain fatty acids activate the glutamate-dependent acid resistance system via the tRNA-modifying Mnm pathway in Escherichia coliGoethe-Institute United KingdomGB
Transaldolase 1 contributes to pentose phosphate pathway disruption and synaptic dysfunction in Alzheimer’s diseaseGuangzhou Institutes of Biomedicine and HealthCN
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsHeinrich Heine University DüsseldorfDE
Metabolomic Signatures of Biotrauma Associated with Mortality in ICU Patients Requiring Invasive Mechanical Ventilation and ECMOHospital de São JoséPT
Processing and release of the maize phytocytokine Zip1Indian Institute of Technology JodhpurIN
Metabolomic Signatures of Biotrauma Associated with Mortality in ICU Patients Requiring Invasive Mechanical Ventilation and ECMOInstitute for Biotechnology and BioengineeringPT
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingInstitute of Molecular and Clinical Ophthalmology BaselCH
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingInstituto de Salud Carlos IIIES
Metabolomic Signatures of Biotrauma Associated with Mortality in ICU Patients Requiring Invasive Mechanical Ventilation and ECMOInstituto Politécnico de LisboaPT
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingIstituto Nazionale per le Malattie Infettive Lazzaro SpallanzaniIT
Time-resolved proteomic adaptation of multidrug-resistant Acinetobacter baumannii to antimicrobial stress induced by partially purified fraction from Caesalpinia pulcherrima flower using DEqMSKasetsart UniversityTH
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaLaboratoire de Biologie Intégrative des Modèles MarinsFR
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingLeitat Technological CenterES
Short-chain fatty acids activate the glutamate-dependent acid resistance system via the tRNA-modifying Mnm pathway in Escherichia coliLudwig-Maximilians-Universität MünchenDE
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsMedical University of ViennaAT
Time-resolved proteomic adaptation of multidrug-resistant Acinetobacter baumannii to antimicrobial stress induced by partially purified fraction from Caesalpinia pulcherrima flower using DEqMSNational Center for Genetic Engineering and BiotechnologyTH
Time-resolved proteomic adaptation of multidrug-resistant Acinetobacter baumannii to antimicrobial stress induced by partially purified fraction from Caesalpinia pulcherrima flower using DEqMSNational Science and Technology Development AgencyTH
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingNational University of SingaporeSG
Time-resolved proteomic adaptation of multidrug-resistant Acinetobacter baumannii to antimicrobial stress induced by partially purified fraction from Caesalpinia pulcherrima flower using DEqMSPrince of Songkla UniversityTH
Transaldolase 1 contributes to pentose phosphate pathway disruption and synaptic dysfunction in Alzheimer’s diseaseRenji HospitalCN
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaSahlgrenska University HospitalSE
Transaldolase 1 contributes to pentose phosphate pathway disruption and synaptic dysfunction in Alzheimer’s diseaseShanghai Jiao Tong UniversityCN
Transaldolase 1 contributes to pentose phosphate pathway disruption and synaptic dysfunction in Alzheimer’s diseaseShanghai University of Traditional Chinese MedicineCN
Transaldolase 1 contributes to pentose phosphate pathway disruption and synaptic dysfunction in Alzheimer’s diseaseShuguang HospitalCN
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingSingapore Eye Research InstituteSG
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingSingapore National Eye CenterSG
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaSorbonne UniversitéFR
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaStation Biologique de RoscoffFR
Processing and release of the maize phytocytokine Zip1Swedish University of Agricultural SciencesSE
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaTallinn University of TechnologyEE
Short-chain fatty acids activate the glutamate-dependent acid resistance system via the tRNA-modifying Mnm pathway in Escherichia coliTechnical University of MunichDE
Metabolomic Signatures of Biotrauma Associated with Mortality in ICU Patients Requiring Invasive Mechanical Ventilation and ECMOUniversidade Nova de LisboaPT
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsUniversity Hospital CologneDE
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingUniversity Hospital of BaselCH
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingUniversity of BonnDE
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsUniversity of CologneDE
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of EssexGB
Processing and release of the maize phytocytokine Zip1University of FreiburgDE
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of GothenburgSE
Smooth muscle cell spheroids as 3D model of phenotypic plasticity and matrix deposition revealed by 2D–3D proteomicsUniversity of JyväskyläFI
Metabolomic Signatures of Biotrauma Associated with Mortality in ICU Patients Requiring Invasive Mechanical Ventilation and ECMOUniversity of LisbonPT
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of LiverpoolGB
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of MichiganUS
COQ8 chaperones coenzyme Q lipid intermediates through ATP-driven structural gatingUniversity of PaviaIT
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of VictoriaCA
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of YorkGB
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainAcademy of AthensGR
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainBerlin Institute of Health at Charité - Universitätsmedizin BerlinDE
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainBiomedical Research Foundation of the Academy of AthensGR
Adipose triglyceride lipase driven lipolysis as a targetable metabolic vulnerability in prostate cancer with intrinsic metabolic inflexibilityBioTechMed-GrazAT
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainCase Western Reserve UniversityUS
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaCentre National de la Recherche ScientifiqueFR
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainCity of Glasgow CollegeGB
Adipose triglyceride lipase driven lipolysis as a targetable metabolic vulnerability in prostate cancer with intrinsic metabolic inflexibilityComprehensive Cancer Center ViennaAT
Organelle proteomics of human, neonatal pig, healthy and diabetic mouse isletsDeutsches Diabetes-Zentrum e.V.DE
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleEssen University HospitalDE
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleForschungszentrum JülichDE
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainFreie Universität BerlinDE
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainGeriatric Research Education and Clinical CenterUS
Organelle proteomics of human, neonatal pig, healthy and diabetic mouse isletsGerman Center for Diabetes ResearchDE
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleGerman Sport University CologneDE
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainGoethe University FrankfurtDE
Adipose triglyceride lipase driven lipolysis as a targetable metabolic vulnerability in prostate cancer with intrinsic metabolic inflexibilityGraz University of TechnologyAT
Organelle proteomics of human, neonatal pig, healthy and diabetic mouse isletsHeinrich Heine University DüsseldorfDE
Organelle proteomics of human, neonatal pig, healthy and diabetic mouse isletsHelmholtz Zentrum MünchenDE
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainHumboldt-Universität zu BerlinDE
Breast meat quality of organically reared chickens supplemented with live black soldier fly larvae: A multi-level nutritional, proteomic and sensory assessmentInstitute of Sciences of Food ProductionIT
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainJohns Hopkins MedicineUS
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainJohns Hopkins UniversityUS
Impact of secretome containing extracellular vesicles from human induced pluripotent stem cell-derived cardiomyocytesKyorin UniversityJP
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaLaboratoire de Biologie Intégrative des Modèles MarinsFR
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainLeibniz Institute for Analytical Sciences - ISASDE
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainLieber Institute for Brain DevelopmentUS
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainLouis Stokes Cleveland VA Medical CenterUS
Organelle proteomics of human, neonatal pig, healthy and diabetic mouse isletsLudwig-Maximilians-Universität MünchenDE
Adipose triglyceride lipase driven lipolysis as a targetable metabolic vulnerability in prostate cancer with intrinsic metabolic inflexibilityMedical University of GrazAT
Adipose triglyceride lipase driven lipolysis as a targetable metabolic vulnerability in prostate cancer with intrinsic metabolic inflexibilityMedical University of ViennaAT
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainMRC Mitochondrial Biology UnitGB
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainNational and Kapodistrian University of AthensGR
Breast meat quality of organically reared chickens supplemented with live black soldier fly larvae: A multi-level nutritional, proteomic and sensory assessmentNational Research CouncilIT
Breast meat quality of organically reared chickens supplemented with live black soldier fly larvae: A multi-level nutritional, proteomic and sensory assessmentNofimaNO
Impact of secretome containing extracellular vesicles from human induced pluripotent stem cell-derived cardiomyocytesOsaka Health Science UniversityJP
Impact of secretome containing extracellular vesicles from human induced pluripotent stem cell-derived cardiomyocytesOsaka Prefecture UniversityJP
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleRuhrlandklinikDE
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaSahlgrenska University HospitalSE
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaSorbonne UniversitéFR
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaStation Biologique de RoscoffFR
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaTallinn University of TechnologyEE
Region-Specific Proteomic Profiles of Extracellular Vesicles (EVs) Derived from Human Macular and Peripheral RPE-Choroid ExplantsThe George Institute for Global HealthAU
Region-Specific Proteomic Profiles of Extracellular Vesicles (EVs) Derived from Human Macular and Peripheral RPE-Choroid ExplantsThe University of SydneyAU
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainUniversity Hospitals Cleveland Medical CenterUS
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainUniversity of BelgradeRS
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleUniversity of BonnDE
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainUniversity of CambridgeGB
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleUniversity of CologneDE
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleUniversity of Duisburg-EssenDE
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of EssexGB
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleUniversity of FreiburgDE
Protein thiol alterations drive pathologic liquid–liquid phase separation in the aging brainUniversity of GlasgowGB
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of GothenburgSE
Adipose triglyceride lipase driven lipolysis as a targetable metabolic vulnerability in prostate cancer with intrinsic metabolic inflexibilityUniversity of GrazAT
Fractionated proteomics identifies a protein network mitigating resistance exercise-induced damage in human skeletal muscleUniversity of HildesheimDE
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of LiverpoolGB
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of MichiganUS
Breast meat quality of organically reared chickens supplemented with live black soldier fly larvae: A multi-level nutritional, proteomic and sensory assessmentUniversity of TurinIT
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of VictoriaCA
Adipose triglyceride lipase driven lipolysis as a targetable metabolic vulnerability in prostate cancer with intrinsic metabolic inflexibilityUniversity of ViennaAT
Unique adaptations in sulfatases underpin colonic mucin degradation by Akkermansia muciniphilaUniversity of YorkGB
Adaptively evolved chitin overproduction in Saccharomyces cerevisiaeAalto UniversityFI
An Acetylation-Primed SUMOylation Switch Controls RORβ Stability through a p300-SIRT1 Regulatory AxisBaylor College of MedicineUS
Particles of echovirus 18 open to release their genomes in vivoCentral European Institute of Technology – Masaryk UniversityCZ
2 H 2 O labeling methods for bulk and single muscle protein synthesis measures, and measures of integrated muscle protein synthesis and breakdown rates: A pilot studyCopenhagen University HospitalDK
Epiproteomic profiling identifies histone H4 hyperacetylation as a prognostic marker in pleural mesotheliomaEuropean Institute of OncologyIT
2 H 2 O labeling methods for bulk and single muscle protein synthesis measures, and measures of integrated muscle protein synthesis and breakdown rates: A pilot studyFrederiksberg HospitalDK
Effects of Fluoride and 8:2 FTOH on β-Cell Calcium Signaling and Insulin Homeostasis: An Exploratory StudyInstituição Toledo de EnsinoBR
Epiproteomic profiling identifies histone H4 hyperacetylation as a prognostic marker in pleural mesotheliomaIstituti di Ricovero e Cura a Carattere ScientificoIT
2 H 2 O labeling methods for bulk and single muscle protein synthesis measures, and measures of integrated muscle protein synthesis and breakdown rates: A pilot studyLiverpool John Moores UniversityGB
Effects of Fluoride and 8:2 FTOH on β-Cell Calcium Signaling and Insulin Homeostasis: An Exploratory StudyNova Southeastern UniversityUS
Particles of echovirus 18 open to release their genomes in vivoOslo University HospitalNO
Epiproteomic profiling identifies histone H4 hyperacetylation as a prognostic marker in pleural mesotheliomaOspedale San Giovanni BoscoIT
Particles of echovirus 18 open to release their genomes in vivoPrecision for Medicine (United States)US
Protocol to study inflammasome activation in induced pluripotent stem cell-derived macrophagesQueen's University BelfastGB
2 H 2 O labeling methods for bulk and single muscle protein synthesis measures, and measures of integrated muscle protein synthesis and breakdown rates: A pilot studyRigshospitaletDK
An Acetylation-Primed SUMOylation Switch Controls RORβ Stability through a p300-SIRT1 Regulatory AxisScripps (United States)US
An Acetylation-Primed SUMOylation Switch Controls RORβ Stability through a p300-SIRT1 Regulatory AxisScripps Research InstituteUS
An Acetylation-Primed SUMOylation Switch Controls RORβ Stability through a p300-SIRT1 Regulatory AxisThe Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technologyunbekannt
Effects of Fluoride and 8:2 FTOH on β-Cell Calcium Signaling and Insulin Homeostasis: An Exploratory StudyThe University of OsakaJP
Effects of Fluoride and 8:2 FTOH on β-Cell Calcium Signaling and Insulin Homeostasis: An Exploratory StudyUniversidade Sagrado CoraçãoBR
2 H 2 O labeling methods for bulk and single muscle protein synthesis measures, and measures of integrated muscle protein synthesis and breakdown rates: A pilot studyUniversity of CopenhagenDK
An Acetylation-Primed SUMOylation Switch Controls RORβ Stability through a p300-SIRT1 Regulatory AxisUniversity of MontanaUS
Potential Virulence Factors in Pyrenophora teres Through Label‐Free Cellular Proteomics AnalysisUniversity of Southern QueenslandAU
Potential Virulence Factors in Pyrenophora teres Through Label‐Free Cellular Proteomics AnalysisUniversity of TasmaniaAU
Adaptively evolved chitin overproduction in Saccharomyces cerevisiaeVTT Technical Research Centre of FinlandFI
Methode & Identitätsregeln

Wissensfluss ohne erfundene Brücken

Der Collector verbindet Quellen nur über kompatible amtliche oder persistente Kennungen. Fehlende Zuordnungen bleiben sichtbar unbekannt.

  1. 1
    Projektkohorte exakt abgrenzen

    CORDIS-Projektcodes und gemeldete deutsche Beteiligungen definieren die KI-Kohorte; sie beweisen keine deutsche Urheberschaft an jedem Output.

  2. 2
    Outputs aus OpenAIRE übernehmen

    Forschungsprodukte werden nur über die von OpenAIRE gemeldete Projektbeziehung angebunden. Vollbestandsaggregate bleiben vom OpenAlex-Lauf getrennt.

  3. 3
    Alle DOI-Verbindungen erhalten

    Jede gültige DOI eines Outputs wird einzeln verarbeitet. Der Collector wählt keine vermeintliche Haupt-DOI und gleicht keine Titel oder Personennamen ab.

  4. 4
    Referenzen rückwärts auflösen

    Zitierende Arbeiten zählen nur, wenn ihre OpenAlex-Referenzliste eine aufgelöste Zielarbeit enthält. Institutionen stammen aus den gemeldeten Affiliationen.

Sammlung, Verknüpfung, Klassifikation und Darstellung verwenden kein generatives KI-Modell.

So liest du die Zahlen richtig

  • Zitationen belegen wissenschaftliche Aufmerksamkeit oder Nachnutzung, aber weder Qualität noch wirtschaftliche oder gesellschaftliche Wirkung.
  • CORDIS belegt eine deutsche Beteiligung am Projekt. Daraus folgt nicht, dass ein deutscher Projektpartner einen verknüpften Output verfasst hat.
  • Die Flussanalyse verarbeitet alle exakt DOI-verknüpften Outputs des konfigurierten Bestands.
  • Länder, Sektoren und Institutionen werden aus gemeldeten OpenAlex-Affiliationen voll gezählt und können sich überlappen. Fehlende Affiliationen bleiben unbekannt.
  • Quellen ergänzen, korrigieren und deduplizieren Datensätze rückwirkend. Jüngste Monate sind deshalb als vorläufig markiert.

Quellen, Lizenzen & eigener Abdeckungsstatus

Jede Quelle zeigt ihren Prüfstatus. Der Quellstichtag steht oben separat vom Zeitpunkt des Collector-Laufs; begrenzte Ausschnitte werden nicht hochgerechnet.

Europäische Kommission · CORDISverfügbar
1.055

Lizenz / Nachnutzung: Nachnutzungsregeln der Europäischen Kommission

geprüft 01. Aug. 2026, 10:42Quelle öffnen ↗
OpenAIRE Graphverfügbar
52.740

Lizenz / Nachnutzung: CC BY 4.0

geprüft 01. Aug. 2026, 10:42Quelle öffnen ↗
OpenAlexverfügbar
36.621

Lizenz / Nachnutzung: CC0

geprüft 01. Aug. 2026, 10:42Quelle öffnen ↗
ROR-Kennungen via OpenAlexverfügbar
45.873

Lizenz / Nachnutzung: CC0

geprüft 01. Aug. 2026, 10:42Quelle öffnen ↗

Häufige Fragen

Was misst der KI-Wissensfluss?
Er beobachtet, welche Arbeiten Outputs aus EU-geförderten KI-Projekten zitieren und welche Länder, Sektoren und Institutionen in den gemeldeten Affiliationen dieser zitierenden Arbeiten vorkommen. Das ist ein Signal für wissenschaftliche Aufmerksamkeit und Nachnutzung.
Welche Abdeckung hat die OpenAlex-Auswertung?
Die Karte zum beobachteten Wissensfluss nennt den aktiven Umfang. Eine begrenzte Probe wird nicht hochgerechnet. Ein vollständiger Suchlauf verarbeitet den konfigurierten DOI-Bestand; nicht auflösbare DOI bleiben als Lücken ausgewiesen.
Belegt der Index deutsche Urheberschaft oder Wirkung?
Nein. CORDIS belegt eine deutsche Projektbeteiligung, nicht die Urheberschaft an jedem Output. Eine Zitation belegt außerdem weder Qualität noch wirtschaftliche oder gesellschaftliche Wirkung.
Warum kann ein Output mehrere DOI- und OpenAlex-Verbindungen haben?
OpenAIRE kann mehrere persistente Kennungen für denselben Output melden, etwa für Preprint und Zeitschriftenfassung. Der Collector erhält diese n:m-Beziehung, statt willkürlich eine Hauptkennung zu wählen.
Veröffentlicht der Index Namen von Autorinnen oder Autoren?
Nein. Für den Wissensfluss reichen Arbeits-, Institutions- und ROR-Kennungen. Personen-, Autoren- und ORCID-Daten werden nicht in den öffentlichen Datensatz übernommen.
Verwendet der Collector generative KI?
Nein. Er arbeitet mit versionierten Regeln, exakten Kennungen, API-Antworten und Schema-Prüfungen. Es gibt weder ein Sprachmodell im Collector noch generierte Zuordnungen.

Du willst Forschungs-, Förder- oder Marktdaten belastbar verbinden?

Wir bauen nachvollziehbare Datenprodukte mit automatischen Collectors, stabilen Identitätsregeln und prüfbarer Herkunft.

Projekt besprechenAlle Tools ansehen