← Leaderboards
Guo-Cheng Yuan
Dana-Farber Cancer Inst
$13,944,815
Attributed
$28,172,258
Total exposure
11
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 $6.4M · FY2011–23$10M$7.5M$5M$2.5M$0
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$28,172,258 · 11
By mechanism
R01$18,415,903 · 6
RF1$8,125,105 · 2
UG3$750,000 · 1
R21$481,250 · 1
UH3$400,000 · 1
Top collaborators
- Long Cai9 shared
- Massimo F Loda5 shared
- Stuart H Orkin5 shared
- John Quackenbush5 shared
- Thomas M Roberts5 shared
- Edwin K Silverman5 shared
- Jean Zhao5 shared
- Panagiotis Roussos2 shared
Most similar at Dana-Farber Cancer Inst
Same institution · by research overlap
- Hojun Li$1,792,884
- Debra P Ritzwoller$11,334,697
- Ursula Anne Matulonis$3,602,637
- Gordon J Harris$11,607,211
- Benjamin Levine Ebert$26,802,844
Others in their field
Top investigators on “Cell Type”
- Jeffrey P Krischer · University Of South Florida$205,371,920
- David Heimbrook · Leidos Biomedical Research, Inc.$202,908,151
- Barton F Haynes · Duke University$148,512,052
- John M Lachin · George Washington University$136,828,043
- David M Nathan · Massachusetts Institute Of Technology$118,672,444
- Hongkui Zeng · Allen Institute$115,383,238
Research focus
Cell TypeGenomicsTissuesInsightGene ExpressionBasePlayPatternGenesComputing MethodologiesData SetCellsGenomeMolecularVariantComputerized ToolsGene Expression RegulationGenome-WideProgramsSliceEpigenomicsProteinsBiologyBiological Process
Grant awards (36)
Towards an integrated analytics solution to creating a spatially-resolved single-cell multi-omics brain atlas$2,576,654
RF1 · FY2023 · MH · contact PI
Spatial genomics single cell analysis of aging brains$868,124
R01 · FY2023 · AG
Spatial genomics single cell analysis of aging brains$868,124
R01 · FY2022 · AG
A regulome and transcriptome atlas of fetal and adult human neurogenesis$5,548,451
RF1 · FY2021 · MH
Spatial genomics single cell analysis of aging brains$868,124
R01 · FY2021 · AG
Spatial genomics single cell analysis of aging brains$868,124
R01 · FY2020 · AG
A systems biology approach for dissecting enhancer hierarchy$444,250
R01 · FY2020 · HG · contact PI
In situ transcriptome profiling in single cells$400,000
UH3 · FY2020 · CA
A systems biology approach for dissecting enhancer hierarchy$191,064
R01 · FY2020 · HG · contact PI
Spatial genomics single cell analysis of aging brains$884,249
R01 · FY2019 · AG
A systems biology approach for dissecting enhancer hierarchy$721,542
R01 · FY2019 · HG · contact PI
Targeting the p110beta isoform of PI3 kinase in prostate cancer$537,433
R01 · FY2019 · CA
In situ transcriptome profiling in single cells$375,000
UG3 · FY2019 · HL
A systems biology approach for dissecting enhancer hierarchy$721,542
R01 · FY2018 · HG · contact PI
Systems Biology Analysis of Human Erythropoiesis$677,665
R01 · FY2018 · HL · contact PI
Targeting the p110beta isoform of PI3 kinase in prostate cancer$554,053
R01 · FY2018 · CA
In situ transcriptome profiling in single cells$375,000
UG3 · FY2018 · HL
A systems biology approach for dissecting enhancer hierarchy$721,542
R01 · FY2017 · HG · contact PI
Systems Biology Analysis of Human Erythropoiesis$675,843
R01 · FY2017 · HL · contact PI
Targeting the p110beta isoform of PI3 kinase in prostate cancer$554,053
R01 · FY2017 · CA
Systems Biology Analysis of Human Erythropoiesis$684,076
R01 · FY2016 · HL · contact PI
Targeting the p110beta isoform of PI3 kinase in prostate cancer$554,053
R01 · FY2016 · CA
Using Networks to Assign Gene Function in Lung Disease$802,927
R01 · FY2015 · HL
Systems Biology Analysis of Human Erythropoiesis$662,274
R01 · FY2015 · HL · contact PI
Targeting the p110beta isoform of PI3 kinase in prostate cancer$554,053
R01 · FY2015 · CA
Using Networks to Assign Gene Function in Lung Disease$800,813
R01 · FY2014 · HL
Systems Biology Analysis of Human Erythropoiesis$712,443
R01 · FY2014 · HL · contact PI
Toward a systematic understanding of targeting mechanisms for epigenetic factors$426,178
R01 · FY2014 · HG · contact PI
Using Networks to Assign Gene Function in Lung Disease$100,000
R01 · FY2014 · HL
Using Networks to Assign Gene Function in Lung Disease$810,834
R01 · FY2013 · HL
Toward a systematic understanding of targeting mechanisms for epigenetic factors$417,813
R01 · FY2013 · HG · contact PI
A guided approach to interrogating genome-wide chromatin interactions$218,750
R21 · FY2013 · HG · contact PI
Using Networks to Assign Gene Function in Lung Disease$864,957
R01 · FY2012 · HL
Toward a systematic understanding of targeting mechanisms for epigenetic factors$437,500
R01 · FY2012 · HG · contact PI
A guided approach to interrogating genome-wide chromatin interactions$262,500
R21 · FY2012 · HG · contact PI
Toward a systematic understanding of targeting mechanisms for epigenetic factors$432,250
R01 · FY2011 · HG · contact PI