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Rajat M Gupta

Massachusetts General Hospital

$7,612,207
Attributed
$10,742,070
Total exposure
7
Grants
6
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 $2.9M · FY201625
$5M$3.8M$2.5M$1.3M$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$10,742,070 · 7

By mechanism

U01$4,251,887 · 2
DP2$2,753,349 · 1
R01$2,007,839 · 1
K08$854,576 · 1
P01$695,419 · 1
R03$179,000 · 1

Top collaborators

Most similar at Massachusetts General Hospital

Same institution · by research overlap

Others in their field

Top investigators on “Coronary Arteriosclerosis

Research focus

Coronary ArteriosclerosisBlood VesselsPathway InteractionsGenesEndothelial CellsCellsGenome Wide Association StudyGeneticTissuesCell TypeLinkAffectCell PhysiologyProgramsResearch PersonnelUnited StatesBiologyCause Of DeathVariantDisorder RiskGenetic TranscriptionSingle-Cell Rna SequencingGenetic AssociationSampling

Grant awards (21)

Single-cell, multi-omic investigation of epicardial adipose and coronary endothelial dysfunction in type 1 diabetes$993,436
U01 · FY2025 · DK
Project 1: Endothelial cell programs for coronary artery disease$695,419
P01 · FY2025 · HL · contact PI
High-throughput cellular genetics to connect noncoding variants to coronary artery disease genes$665,483
R01 · FY2025 · HL · contact PI
Identifying the organotypic and disease-specific vascular cell populations by integrating single cell data with polygenic risk$526,267
U01 · FY2025 · HL · contact PI
Identifying the organotypic and disease-specific vascular cell populations by integrating single cell data with polygenic risk$56,244
U01 · FY2025 · HL · contact PI
Single-cell, multi-omic investigation of epicardial adipose and coronary endothelial dysfunction in type 1 diabetes$1,008,750
U01 · FY2024 · DK
High-throughput cellular genetics to connect noncoding variants to coronary artery disease genes$655,727
R01 · FY2024 · HL · contact PI
Identifying the organotypic and disease-specific vascular cell populations by integrating single cell data with polygenic risk$526,267
U01 · FY2024 · HL · contact PI
High-throughput cellular genetics to connect noncoding variants to coronary artery disease genes$686,629
R01 · FY2023 · HL · contact PI
Identifying the organotypic and disease-specific vascular cell populations by integrating single cell data with polygenic risk$511,495
U01 · FY2023 · HL · contact PI
Identifying the organotypic and disease-specific vascular cell populations by integrating single cell data with polygenic risk$82,698
U01 · FY2023 · HL · contact PI
Identifying the organotypic and disease-specific vascular cell populations by integrating single cell data with polygenic risk$546,730
U01 · FY2022 · HL · contact PI
A genetic approach to identify the common mechanisms of vascular disease$68,349
DP2 · FY2022 · HL · contact PI
From association to function at the PHACTR1 GWAS locus for coronary atherosclerosis$168,808
K08 · FY2020 · HL · contact PI
Single cell analysis of gene expression in human vascular cells$89,500
R03 · FY2020 · HL · contact PI
A genetic approach to identify the common mechanisms of vascular disease$2,685,000
DP2 · FY2019 · HL · contact PI
From association to function at the PHACTR1 GWAS locus for coronary atherosclerosis$168,808
K08 · FY2019 · HL · contact PI
Single cell analysis of gene expression in human vascular cells$89,500
R03 · FY2019 · HL · contact PI
From association to function at the PHACTR1 GWAS locus for coronary atherosclerosis$172,320
K08 · FY2018 · HL · contact PI
From association to function at the PHACTR1 GWAS locus for coronary atherosclerosis$172,320
K08 · FY2017 · HL · contact PI
From association to function at the PHACTR1 GWAS locus for coronary atherosclerosis$172,320
K08 · FY2016 · HL · contact PI