← Leaderboards
Wei Chen
University Of Pittsburgh At Pittsburgh
$5,122,058
Attributed
$6,622,896
Total exposure
9
Grants
5
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 $1.2M · FY2014–25$2M$1.5M$1M$500K$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,622,896 · 9
By mechanism
R01$4,963,498 · 5
P01$1,016,163 · 2
R21$643,235 · 2
Top collaborators
- Heng Huang3 shared
- Juan Carlos Celedon2 shared
- Ying Ding2 shared
- Richard H Duerr2 shared
- Kathryn S. Torok1 shared
Most similar at University Of Pittsburgh At Pittsburgh
Same institution · by research overlap
- Kathryn S. Torok$2,024,095
- Douglas Jay Perkins$17,165,936
- Heidi T Jacobe$1,705,648
- Clareann H. Bunker$6,204,550
- Alison Morris$31,399,077
Others in their field
Top investigators on “Data Set”
- Lawrence Corey · Fred Hutchinson Cancer Center$424,653,591
- David R. Weir · University Of Michigan At Ann Arbor$412,781,191
- David Heimbrook · Leidos Biomedical Research, Inc.$409,886,450
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$348,905,121
- Gary D Acton · University Of California-Davis$320,373,312
- Mitchell J Malone · Texas A&M Research Foundation$320,373,312
Research focus
Data SetGenome Wide Association StudyPathogenesisVariantCommunitiesGenesGeneticGenotypeTraitInsightDesignBaseFutureGenomicsRare VariantSamplingCohortCollaborationsInnovationComplexComputer SoftwareStatistical MethodsInterestMultidisciplinary
Grant awards (22)
Integrating Spatial and Single-Cell Transcriptomics with Histology to Define Endotypes in Pediatric Scleroderma$504,442
R01 · FY2025 · AR
Trans-ancestry, single-cell multiomics dissection of IBD-associated loci in CD4 memory T cells$477,000
R01 · FY2025 · DK
Core C$263,894
P01 · FY2025 · AI · contact PI
Trans-ancestry, single-cell multiomics dissection of IBD-associated loci in CD4 memory T cells$477,000
R01 · FY2024 · DK
SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate$300,000
R01 · FY2024 · EB
Core C$248,324
P01 · FY2024 · AI · contact PI
SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate$300,000
R01 · FY2023 · EB
Core C$240,577
P01 · FY2023 · AI · contact PI
SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate$300,000
R01 · FY2022 · EB
Core C$263,368
P01 · FY2022 · AI · contact PI
Deep-learning-based prediction of AMD and its progression with GWAS and fundus image data$220,287
R21 · FY2021 · EY
Multi-omics Analysis of Childhood Asthma in Hispanics$117,375
R21 · FY2021 · HL · contact PI
Deep-learning-based prediction of AMD and its progression with GWAS and fundus image data$188,198
R21 · FY2020 · EY
Multi-omics Analysis of Childhood Asthma in Hispanics$117,375
R21 · FY2020 · HL · contact PI
Statistical methods for population and family-based whole-genome sequence data$340,088
R01 · FY2018 · HG · contact PI
Statistical methods for population and family-based whole-genome sequence data$340,284
R01 · FY2017 · HG · contact PI
Statistical methods for population and family-based whole-genome sequence data$340,472
R01 · FY2016 · HG · contact PI
AMD genetics: methods and analysis for progression, prediction, and association$301,779
R01 · FY2016 · EY · contact PI
Statistical methods for population and family-based whole-genome sequence data$332,140
R01 · FY2015 · HG · contact PI
AMD genetics: methods and analysis for progression, prediction, and association$295,743
R01 · FY2015 · EY · contact PI
Statistical methods for population and family-based whole-genome sequence data$353,477
R01 · FY2014 · HG · contact PI
AMD genetics: methods and analysis for progression, prediction, and association$301,073
R01 · FY2014 · EY · contact PI