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Jonathan Witonsky
University Of California, San Francisco
$521,664
Attributed
$521,664
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 $174K · FY2023–25$200K$150K$100K$50K$0
'23
'24
'25
Funding mix
By agency
NIH$521,664 · 1
By mechanism
K23$521,664 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Payam Nahid$19,473,523
- Nevan J Krogan$73,195,859
- Monica Gandhi$27,077,063
- Matthew F Krummel$32,506,768
- Sandy Feng$20,152,343
Others in their field
Other Rising Stars on “Algorithms”
- Maximilian Haeussler · University Of California Santa Cruz$14,765,386
- Samuel W Teitelbaum · Arizona State University$13,377,213
- Benjamin M Greenberg · Ut Southwestern Medical Center$11,474,975
- Eric Anderson · Columbia University Health Sciences$11,474,975
- Jinsy Andrews · Columbia University Health Sciences$11,474,975
- Suma Babu · Massachusetts General Hospital$11,004,714
Research focus
AlgorithmsAffectAnalytical MethodAreaAsthmaBiomedical FacilityBlack AmericanBlack RaceBone Marrow TransplantationCaliforniaCareer DevelopmentCaringCharacteristicsChildChildhoodClinical InvestigatorClinical ResearchCohortDetectionDevelopment PlansDiagnosisDisparityEducational WorkshopEnvironmental Risk Factor
Grant awards (3)
Improving Prediction of Asthma-related Outcomes with Genetic Ancestry-informed Lung Function Equations$173,632
K23 · FY2025 · HL · contact PI
Improving Prediction of Asthma-related Outcomes with Genetic Ancestry-informed Lung Function Equations$174,016
K23 · FY2024 · HL · contact PI
Improving Prediction of Asthma-related Outcomes with Genetic Ancestry-informed Lung Function Equations$174,016
K23 · FY2023 · HL · contact PI