← Leaderboards
Mengjie Chen
University Of Chicago
$6,348,314
Attributed
$10,328,281
Total exposure
6
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 $3.4M · FY2017–25$5M$3.8M$2.5M$1.3M$0
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$10,328,281 · 6
By mechanism
R01$5,317,852 · 3
RC2$4,016,560 · 1
P30$993,869 · 2
Top collaborators
- Xiang Zhou4 shared
- Chuan He2 shared
- Philip A Kern2 shared
- Rohit N. Kulkarni2 shared
- Ali Naji2 shared
Most similar at University Of Chicago
Same institution · by research overlap
- Michelle M Le Beau$39,023,275
- Chuan He$53,119,947
- Michael A Mandell$1,974,545
- Roman Bezrukavnikov$3,045,179
- Tao Pan$13,229,930
Others in their field
Other Emerging Leaders on “Genomics”
- Leonard Freedman · Leidos Biomedical Research, Inc.$405,398,682
- Scott Topper · Broad Institute, Inc.$153,234,573
- Lynn Briscoe · Leidos Biomedical Research, Inc.$137,892,657
- Leonard Freedmand · Leidos Biomedical Research, Inc.$96,686,407
- Dwayne Forquer · Leidos Biomedical Research, Inc.$50,844,487
- Scott Andrew Sutherland · Vignet, Inc.$37,105,117
Research focus
GenomicsCommunitiesTissuesVariantResolutionTechnologyComputer SoftwareGenesComplexBiologicalGene ExpressionBaseData AnalysesGenomic DataInnovationSingle-Cell Rna SequencingSamplingCellsOpen SourceDimensionsHeterogeneityComputing MethodologiesComputerized ToolsData Set
Grant awards (21)
Epitranscriptomics in human obesity and type 2 diabetes$1,972,780
RC2 · FY2025 · DK
Develop new bioinformatics infrastructures and computational tools for epitranscriptomics data$393,270
R01 · FY2025 · HG · contact PI
New directions in single cell genomics method development$336,129
R01 · FY2025 · GM · contact PI
Bioinformatics Core Facility$213,098
P30 · FY2025 · CA · contact PI
Epitranscriptomics in human obesity and type 2 diabetes$2,043,780
RC2 · FY2024 · DK
Develop new bioinformatics infrastructures and computational tools for epitranscriptomics data$393,270
R01 · FY2024 · HG · contact PI
Developing new computational tools for spatial transcriptomics data$373,641
R01 · FY2024 · HG · contact PI
New directions in single cell genomics method development$336,129
R01 · FY2024 · GM · contact PI
Bioinformatics Core Facility$228,170
P30 · FY2024 · CA · contact PI
Develop new bioinformatics infrastructures and computational tools for epitranscriptomics data$401,296
R01 · FY2023 · HG · contact PI
Developing new computational tools for spatial transcriptomics data$381,266
R01 · FY2023 · HG · contact PI
New directions in single cell genomics method development$352,129
R01 · FY2023 · GM · contact PI
Developing new computational tools for spatial transcriptomics data$381,266
R01 · FY2022 · HG · contact PI
Bioinformatics$275,498
P30 · FY2022 · CA · contact PI
Developing new computational tools for spatial transcriptomics data$397,266
R01 · FY2021 · HG · contact PI
Collaborative Research: Advanced statistical methods for single cell RNA sequencing studies$314,378
R01 · FY2021 · GM · contact PI
Bioinformatics$277,103
P30 · FY2021 · CA · contact PI
Collaborative Research: Advanced statistical methods for single cell RNA sequencing studies$314,378
R01 · FY2020 · GM · contact PI
Collaborative Research: Advanced statistical methods for single cell RNA sequencing studies$314,378
R01 · FY2019 · GM · contact PI
Collaborative Research: Advanced statistical methods for single cell RNA sequencing studies$314,306
R01 · FY2018 · GM · contact PI
Collaborative Research: Advanced statistical methods for single cell RNA sequencing studies$314,750
R01 · FY2017 · GM · contact PI