← Leaderboards
Girish Nitin Nadkarni
Icahn School Of Medicine At Mount Sinai
$10,989,187
Attributed
$26,182,646
Total exposure
11
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 $12M · FY2016–25$20M$15M$10M$5M$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$26,182,646 · 11
By mechanism
R01$13,902,020 · 6
OT2$6,962,150 · 1
U01$4,288,818 · 2
K23$929,658 · 1
R56$100,000 · 1
Top collaborators
- Ron Do6 shared
- Carol R Horowitz5 shared
- Kirk N Campbell4 shared
- Steven G Coca4 shared
- Javier A. Neyra4 shared
- Lili Chan3 shared
- David M Charytan3 shared
- Jasmin Divers3 shared
Most similar at Icahn School Of Medicine At Mount Sinai
Same institution · by research overlap
- Lili Chan$1,630,806
- Kirk N Campbell$10,746,650
- Kristin Meliambro$2,184,634
- Marta Filizola$11,220,258
- Nandini Shroff$726,013
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
InnovationLinkKidneyBiobankHigh RiskAffectFutureRisk StratificationRisk FactorsClinical DataMortalityClinical TrialsEnvironmentMedicineCohortInsightGenesElectronic Health RecordPhenotypeHealth SystemResearch PersonnelGeneticKidney DiseasesCommunities
Grant awards (36)
INSPIRE: INterventionS for Promoting kIdney tRansplant Empowerment$1,039,311
U01 · FY2025 · DK
Enhancing Cardiovascular Risk Prediction and Treatment Response in Sleep Apnea Patients Using Advanced AI-based Transformer Models in Multi-Modal Sleep Data$816,472
R01 · FY2025 · HL · contact PI
Application of Machine Learning to Identify Obstructive Sleep Apnea Subgroups at Risk for Atherosclerosis Progression and Cardiovascular Disease Events (OSA-GRANDE)$743,757
R01 · FY2025 · HL
Deep learning on ECGs to improve outcomes in patients on dialysis$730,082
R01 · FY2025 · HL · contact PI
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk Genotypes$626,406
R01 · FY2025 · DK · contact PI
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement Therapy$609,234
R01 · FY2025 · DK
Mount Sinai Health System Kidney Precision Medicine Project$374,999
U01 · FY2025 · DK
All of Us Research Program New York Consortium$5,712,150
OT2 · FY2024 · OD
All of Us Research Program New York Consortium$1,250,000
OT2 · FY2024 · OD
Renal transplant Equity through Partnership And Structural Transformation (REPAST)$815,580
U01 · FY2024 · DK
Application of Machine Learning to Identify Obstructive Sleep Apnea Subgroups at Risk for Atherosclerosis Progression and Cardiovascular Disease Events (OSA-GRANDE)$804,477
R01 · FY2024 · HL
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individuals$738,557
R01 · FY2024 · HL
Deep learning on ECGs to improve outcomes in patients on dialysis$716,516
R01 · FY2024 · HL · contact PI
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk Genotypes$657,132
R01 · FY2024 · DK · contact PI
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement Therapy$639,420
R01 · FY2024 · DK
Mount Sinai Health System Kidney Precision Medicine Project$399,999
U01 · FY2024 · DK
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individuals$237,445
R01 · FY2024 · HL
Renal transplant Equity through Partnership And Structural Transformation (REPAST)$859,062
U01 · FY2023 · DK
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individuals$745,525
R01 · FY2023 · HL
Deep learning on ECGs to improve outcomes in patients on dialysis$735,360
R01 · FY2023 · HL · contact PI
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement Therapy$705,025
R01 · FY2023 · DK
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk Genotypes$700,315
R01 · FY2023 · DK · contact PI
Mount Sinai Health System Kidney Precision Medicine Project$425,000
U01 · FY2023 · DK
Assessing effects of adverse Social Determinants of Health (SDOH) in TTR V122l carriers via Structured data and Natural Language Processing (NLP) extraction, a comparison$127,173
R01 · FY2023 · HL
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individuals$743,821
R01 · FY2022 · HL
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk Genotypes$662,080
R01 · FY2022 · DK · contact PI
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk Genotypes$617,496
R01 · FY2022 · DK · contact PI
Mount Sinai Health System Kidney Precision Medicine Project$374,867
U01 · FY2022 · DK
Elucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk Genotypes$775,497
R01 · FY2021 · DK · contact PI
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individuals$770,230
R01 · FY2021 · HL
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and Biomarkers$189,514
K23 · FY2020 · DK · contact PI
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement Therapy$100,000
R56 · FY2020 · DK
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and Biomarkers$190,175
K23 · FY2019 · DK · contact PI
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and Biomarkers$189,520
K23 · FY2018 · DK · contact PI
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and Biomarkers$182,549
K23 · FY2017 · DK · contact PI
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and Biomarkers$177,900
K23 · FY2016 · DK · contact PI