← Leaderboards
Suzette Janine Bielinski
Mayo Clinic Rochester
$6,768,996
Attributed
$7,147,449
Total exposure
4
Grants
4
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.
Funding over time
peak $795K · FY2010–25$1M$750K$500K$250K$0
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Funding mix
By agency
NIH$7,147,449 · 4
By mechanism
R01$6,710,199 · 3
R21$437,250 · 1
Top collaborators
- Imon Banerjee1 shared
Most similar at Mayo Clinic Rochester
Same institution · by research overlap
- Stephen B Kritchevsky$48,894,177
- Cornelia M Weyand$30,789,284
- Howard J Rosen$46,265,858
- Bradley F Boeve$76,855,509
- Kejal Kantarci$37,462,455
Others in their field
Top investigators on “Innovation”
- David R. Weir · University Of Michigan At Ann Arbor$382,307,654
- Eric Jeffrey Topol · Cleveland Clinic Lerner Col/Med-Cwru$319,874,172
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$311,654,401
- Richard A Gibbs · Baylor College Of Medicine$300,634,418
- Gerald T Nepom · Benaroya Research Inst At Virginia Mason$298,740,071
- Judith S. Currier · University Of California Los Angeles$271,752,220
Research focus
InnovationWomanEventVariantResourcesCardiovascular DiseasesCohortAlgorithmsMeasurementEthnic GroupDiagnosisRisk FactorsPhenotypePositioning AttributeClinical DataGenetic VariantPopulation BasedAlcohol ConsumptionHealth Care CostsBaseCountyMinnesotaClinical RiskCommunities
Grant awards (11)
A population-based study of deep learning measures of breast arterial calcification for improving women's health using repurposed mammogram images$756,906
R01 · FY2025 · HL · contact PI
Harnessing the Electronic Health Record to Predict Risk of Cardiovascular Disease$794,994
R01 · FY2021 · HL · contact PI
Harnessing the Electronic Health Record to Predict Risk of Cardiovascular Disease$794,994
R01 · FY2020 · HL · contact PI
Harnessing the Electronic Health Record to Predict Risk of Cardiovascular Disease$794,994
R01 · FY2019 · HL · contact PI
Harnessing the Electronic Health Record to Predict Risk of Cardiovascular Disease$794,994
R01 · FY2018 · HL · contact PI
Using electronic medical records to study progression of atrial fibrillation$198,750
R21 · FY2016 · AG · contact PI
Using electronic medical records to study progression of atrial fibrillation$238,500
R21 · FY2015 · AG · contact PI
Multi-Scale Biology of Atherosclerosis in the Cellular Adhesion Pathway$695,311
R01 · FY2014 · HL · contact PI
Multi-Scale Biology of Atherosclerosis in the Cellular Adhesion Pathway$694,139
R01 · FY2013 · HL · contact PI
Multi-Scale Biology of Atherosclerosis in the Cellular Adhesion Pathway$710,837
R01 · FY2012 · HL · contact PI
Multi-Scale Biology of Atherosclerosis in the Cellular Adhesion Pathway$673,030
R01 · FY2010 · HL · contact PI