← Leaderboards
Asghar Rezaei
Mayo Clinic Rochester
$737,209
Attributed
$737,209
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 $148.3K · FY2021–25$200K$150K$100K$50K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$737,209 · 1
By mechanism
K25$737,209 · 1
Top collaborators
No co-investigators on record.
Most similar at Mayo Clinic Rochester
Same institution · by research overlap
- Elizabeth J. Shane$22,663,624
- Sundeep Khosla$91,221,003
- Carlos B Mantilla$9,702,168
- Dennis M Black$9,656,727
- Lichun Lu$5,236,018
Others in their field
Other Emerging Leaders on “Affect”
- Chanza Baytop · Westat, Inc.$271,217,917
- Leonard Freedman · Leidos Biomedical Research, Inc.$62,378,387
- Jennifer Marie Suga · Kaiser Foundation Research Institute$29,218,159
- Lynn Briscoe · Leidos Biomedical Research, Inc.$27,788,199
- George Robert Painter · University Of Alabama At Birmingham$27,619,145
- Jessica Brooke Langbaum · Banner Health$22,633,312
Research focus
AffectActivities Of Daily LivingApplications GrantsArticular Range Of MotionAge RelatedBoneBone DiseasesCadaverCareer DevelopmentCervicalCharacteristicsChestCohortComorbidityComputational TechniqueComputerized ToolsComputer ModelsDefectDeformityElderlyElectromyographyEquilibriumEvidence Based GuidelinesExercise
Grant awards (5)
A patient-specific computational technique to predict spine injury risks associated with physical activities$147,297
K25 · FY2025 · AG · contact PI
A patient-specific computational technique to predict spine injury risks associated with physical activities$148,257
K25 · FY2024 · AG · contact PI
A patient-specific computational technique to predict spine injury risks associated with physical activities$148,257
K25 · FY2023 · AG · contact PI
A patient-specific computational technique to predict spine injury risks associated with physical activities$146,947
K25 · FY2022 · AG · contact PI
A patient-specific computational technique to predict spine injury risks associated with physical activities$146,451
K25 · FY2021 · AG · contact PI