← Leaderboards
Qin Ma
Ohio State University
$3,883,893
Attributed
$6,056,198
Total exposure
7
Grants
3
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 · FY2018–25$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,056,198 · 7
By mechanism
R01$2,924,409 · 3
U24$1,474,200 · 1
P01$724,794 · 1
U54$511,359 · 1
R21$421,436 · 1
Top collaborators
- Dongjun Chung4 shared
- John F. Bridges3 shared
- Michael Thomas Eadon3 shared
- Electra D. Paskett3 shared
- Juexin Wang3 shared
Most similar at Ohio State University
Same institution · by research overlap
- Xia Ning$3,689,500
- John F. Bridges$982,800
- Ana L Mora$6,901,755
- Dongjun Chung$3,896,698
- Michael A Caligiuri$65,062,344
Others in their field
Other Emerging Leaders on “Cells”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$155,695,588
- Gautam (george) Mitra · Leidos Biomedical Research, Inc.$53,523,213
- Evan Z Macosko · Broad Institute, Inc.$33,096,828
- James Dale Berry · Brigham And Women'S Hospital$30,122,905
- Hanjoon Ryu$28,519,898
- Eric C Palm · Florida State University$26,502,247
Research focus
CellsGenesCell TypeTissuesData AnalysesComputing MethodologiesSingle-Cell Rna SequencingInsightPatternMalignant NeoplasmsGene ExpressionTranscriptomicsTechnologyResearch PersonnelBaseGenomicsSamplingUniversitiesOhioComputerized ToolsBiologicalData SetDatabasesDesign
Grant awards (20)
Statistical Power Analysis Framework for Multi-Sample and Cross-Platform Spatial Omics Experiments$396,048
R01 · FY2025 · GM
SCH: Graph-based Spatial Transcriptomics Computational Methods in Kidney Diseases$286,617
R01 · FY2025 · DK
Computational Core$237,700
P01 · FY2025 · AI · contact PI
Statistical Power Analysis Framework for Multi-Sample and Cross-Platform Spatial Omics Experiments$410,079
R01 · FY2024 · GM
SCH: Graph-based Spatial Transcriptomics Computational Methods in Kidney Diseases$277,152
R01 · FY2024 · DK
Computational Core$237,701
P01 · FY2024 · AI · contact PI
SCH: Graph-based Spatial Transcriptomics Computational Methods in Kidney Diseases$299,817
R01 · FY2023 · DK
Computational Core$249,393
P01 · FY2023 · AI · contact PI
Statistical Power Calculation Framework for Spatially Resolved Transcriptomics Experiments$229,983
R21 · FY2023 · HG
Data-Analysis-Core$511,359
U54 · FY2022 · AG · contact PI
Participant Engagement and Cancer Genome Sequencing (PE-CGS): Coordinating Center$491,400
U24 · FY2022 · CA
Statistical Power Calculation Framework for Spatially Resolved Transcriptomics Experiments$191,453
R21 · FY2022 · HG
Participant Engagement and Cancer Genome Sequencing (PE-CGS): Coordinating Center$491,400
U24 · FY2021 · CA
Construction of cell specific gene co-regulations signatures based on single cell transcriptomics analysis$260,937
R01 · FY2021 · GM · contact PI
Participant Engagement and Cancer Genome Sequencing (PE-CGS): Coordinating Center$491,400
U24 · FY2020 · CA
Construction of cell specific gene co-regulations signatures based on single cell transcriptomics analysis$262,382
R01 · FY2020 · GM · contact PI
Construction of cell specific gene co-regulations signatures based on single cell transcriptomics analysis$182,698
R01 · FY2020 · GM · contact PI
Construction of cell specific gene co-regulations signatures based on single cell transcriptomics analysis$266,037
R01 · FY2019 · GM · contact PI
Construction of cell specific gene co-regulations signatures based on single cell transcriptomics analysis$248,868
R01 · FY2018 · GM · contact PI
Construction of cell specific gene co-regulations signatures based on single cellm transcriptomics analysis$33,774
R01 · FY2018 · GM · contact PI