← Leaderboards
Arjun Kumar Manrai
Harvard Medical School
$3,001,651
Attributed
$5,655,887
Total exposure
3
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.
Funding over time
peak $1.4M · FY2018–25$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$5,655,887 · 3
By mechanism
R01$4,855,275 · 2
K01$800,612 · 1
Top collaborators
- Chirag J. Patel10 shared
- Josep Maria Mercader2 shared
Most similar at Harvard Medical School
Same institution · by research overlap
- Chirag J. Patel$7,618,970
- Rachel Wilson$13,844,415
- John Tuthill$9,401,350
- John Edward Mindur$83,069
- Christine E. Seidman$18,595,172
Others in their field
Other Emerging Leaders on “Variant”
- Yunda Huang · Fred Hutchinson Cancer Center$63,914,632
- Leonard Freedman · Leidos Biomedical Research, Inc.$63,277,106
- Theresa Engel · Leidos Biomedical Research, Inc.$44,839,860
- Scott Topper · Broad Institute, Inc.$40,042,399
- Chris Karlovich · Leidos Biomedical Research, Inc.$38,534,220
- Evan Z Macosko · Broad Institute, Inc.$29,606,858
Research focus
VariantCatalogsResearch PersonnelPopulation HeterogeneityPhenotypePrecision MedicineHeart DiseasesData SetLeadDisorder RiskHealth DisparityCardiologyMeasurementData ScienceRisk FactorsMachine LearningBiological MarkersBiologicalCommunitiesComplexCohortEnvironmentReproducibilityNational Health And Nutrition Examination Survey
Grant awards (15)
Cataloging multi-ancestry 'omic readouts of the environmental and genetic determinants of type 2 diabetes$670,412
R01 · FY2025 · DK
Data science tools to identify robust exposure-phenotype associations for precision medicine$620,215
R01 · FY2025 · ES
Cataloging multi-ancestry 'omic readouts of the environmental and genetic determinants of type 2 diabetes$689,177
R01 · FY2024 · DK
Data science tools to identify robust exposure-phenotype associations for precision medicine$620,215
R01 · FY2024 · ES
Data science tools to identify robust exposure-phenotype associations for precision medicine$44,768
R01 · FY2024 · ES
Data science tools to identify robust exposure-phenotype associations for precision medicine$620,215
R01 · FY2023 · ES
Data science tools to identify robust exposure-phenotype associations for precision medicine$148,002
R01 · FY2023 · ES
Data science tools to identify robust exposure-phenotype associations for precision medicine$92,549
R01 · FY2023 · ES
Data science tools to identify robust exposure-phenotype associations for precision medicine$651,970
R01 · FY2022 · ES
Precision Cardiovascular Medicine for Multi-Ethnic Populations$155,444
K01 · FY2022 · HL · contact PI
Data science tools to identify robust exposure-phenotype associations for precision medicine$697,752
R01 · FY2021 · ES
Precision Cardiovascular Medicine for Multi-Ethnic Populations$161,551
K01 · FY2021 · HL · contact PI
Precision Cardiovascular Medicine for Multi-Ethnic Populations$161,023
K01 · FY2020 · HL · contact PI
Precision Cardiovascular Medicine for Multi-Ethnic Populations$161,043
K01 · FY2019 · HL · contact PI
Precision cardiovascular medicine for multi-ethnic populations$161,551
K01 · FY2018 · HL · contact PI