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Kord Michael Kober
University Of California, San Francisco
$4,808,889
Attributed
$4,808,889
Total exposure
1
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $876.5K · FY2019–25$1M$750K$500K$250K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,808,889 · 1
By mechanism
R37$4,808,889 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Trey Ideker$62,370,509
- Allison R Webel$6,329,040
- Jun S Song$10,223,558
- Sandra Jean Weiss$5,725,900
- Noah A Zaitlen$7,912,572
Others in their field
Other Emerging Leaders on “Fatigue”
- Tara M Brinkman · St. Jude Children'S Research Hospital$7,429,723
- Areej El-Jawahri · Massachusetts General Hospital$4,855,142
- Shannon Ronca · Baylor College Of Medicine$4,602,738
- Jody D. Ciolino · Northwestern University At Chicago$4,372,157
- Tracy E Crane · University Of Arizona$4,334,474
- Thomas A Longden · University Of Vermont & St Agric College$4,224,225
Research focus
FatiguePathway InteractionsRisk Prediction ModelCommon SymptomMalignant NeoplasmsMolecularQuality Of LifeRecommendationAssociated SymptomSeveritiesChemotherapy-Oncologic ProcedureOncologyCandidate Disease GeneCharacteristicsEnvironmentMethylationOperative Surgical ProceduresInsightData AnalysesEpigenetic ProcessClinical ResearchCancer TherapyInvestigationGene Expression
Grant awards (9)
An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach$657,307
R37 · FY2025 · CA · contact PI
An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach$624,441
R37 · FY2024 · CA · contact PI
An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach$634,342
R37 · FY2023 · CA · contact PI
An Evaluation of Cloud Computing for Symptom Science Research: Moving Genomics and Machine Learning Analyses of Cancer Chemotherapy-Related Fatigue to the Cloud$242,197
R37 · FY2023 · CA · contact PI
An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach$650,614
R37 · FY2022 · CA · contact PI
An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach$75,878
R37 · FY2022 · CA · contact PI
An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach$653,863
R37 · FY2021 · CA · contact PI
An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach$644,495
R37 · FY2020 · CA · contact PI
An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach$625,752
R37 · FY2019 · CA · contact PI