← Leaderboards
Smita Krishnaswamy
Yale University
$4,708,472
Attributed
$9,306,031
Total exposure
4
Grants
2
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 $2.3M · FY2019–25$2.5M$1.9M$1.3M$625K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$9,306,031 · 4
By mechanism
R01$9,306,031 · 4
Top collaborators
- Antonio Giraldez5 shared
- Marc Hammarlund3 shared
- Oliver Hobert3 shared
- David M Miller3 shared
- Natalia B Ivanova1 shared
Most similar at Yale University
Same institution · by research overlap
- Oliver Hobert$22,660,899
- Robert Stanley Sherwin$134,887,212
- David M Miller$12,500,264
- Joao Pereira$7,152,978
- William C. Sessa$34,897,684
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
CellsSingle-Cell Rna SequencingGenesCell TypeLearningLogicGeneticComplexCell LineageData SetHuman DevelopmentDevelopmental DiseaseRegenerative MedicinePredictive ModelingMapsGene Expression ProfileEpigenetic ProcessSpecific Qualifier ValueTranscription FactorMolecularResolutionGenetic TranscriptionGene ExpressionAtac-Seq
Grant awards (14)
Discovery and analysis of the C. elegans neuronal gene expression network (CeNGEN)$1,194,089
R01 · FY2025 · NS
Uncovering the dynamics and regulatory logic of cell fate specification in cerebral organoid data$635,408
R01 · FY2025 · NS · contact PI
Discovery and analysis of the C. elegans neuronal gene expression network (CeNGEN)$1,286,961
R01 · FY2024 · NS
Deciphering the regulatory code that specifies different cell fates in development using single cell genomics$554,775
R01 · FY2024 · HD
Discovery and analysis of the C. elegans neuronal gene expression network (CeNGEN)$1,353,606
R01 · FY2023 · NS
Deciphering the regulatory code that specifies different cell fates in development using single cell genomics$560,379
R01 · FY2023 · HD
Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold Learning$404,931
R01 · FY2023 · GM · contact PI
Deciphering the regulatory code that specifies different cell fates in development using single cell genomics$560,378
R01 · FY2022 · HD
Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold Learning$404,931
R01 · FY2022 · GM · contact PI
Deciphering the regulatory code that specifies different cell fates in development using single cell genomics$560,378
R01 · FY2021 · HD
Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold Learning$404,960
R01 · FY2021 · GM · contact PI
Deciphering the regulatory code that specifies different cell fates in development using single cell genomics$571,816
R01 · FY2020 · HD
Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold Learning$404,960
R01 · FY2020 · GM · contact PI
Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold Learning$408,459
R01 · FY2019 · GM · contact PI