← Leaderboards
Stephanie Carinne Hicks
Dana-Farber Cancer Inst
$3,934,278
Attributed
$6,188,535
Total exposure
6
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 $1.5M · FY2017–25$2M$1.5M$1M$500K$0
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,188,535 · 6
By mechanism
R01$3,999,125 · 2
R35$830,971 · 1
R00$725,136 · 1
R21$509,389 · 1
K99$123,914 · 1
Top collaborators
- Kristen Rose Maynard4 shared
- Keri Martinowich2 shared
- Stephanie Cerceo Page1 shared
Most similar at Dana-Farber Cancer Inst
Same institution · by research overlap
- Giovanni Parmigiani$15,786,814
- Marc Vidal$80,344,142
- Svitlana Tyekucheva$2,897,038
- Frank S Hodi$11,927,265
- Guo-Cheng Yuan$13,944,815
Others in their field
Other Emerging Leaders on “Cell Type”
- Evan Z Macosko · Broad Institute, Inc.$36,871,464
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$20,250,477
- Thomas Denny · Duke University$19,381,749
- Tomasz Nowakowski · University Of California, San Francisco$18,472,946
- Hemali Phatnani · New York University School Of Medicine$18,358,586
- Rui M. Costa · Columbia University Health Sciences$13,762,381
Research focus
Cell TypeTissuesSamplingCellsTranscriptome SequencingDifferential ExpressionData SetTranscriptomeGene ExpressionBiologicalGenesDiagnosisTranscriptomicsGenetic TranscriptionComputerized ToolsStatistical MethodsTechnologyAccountingValidationGenomicsGenerationsCell NucleusResolutionMolecular Profiling
Grant awards (15)
Impact of neuromelanin and Tau accumulation during aging and disease on local gene expression in the human locus coeruleus using spatially-resolved transcriptomics with protein detection$830,805
R01 · FY2025 · AG
Computational Methods for Emerging Spatially-resolved Transcriptomics with Multiple Samples$22,001
R35 · FY2025 · GM · contact PI
Impact of neuromelanin and Tau accumulation during aging and disease on local gene expression in the human locus coeruleus using spatially-resolved transcriptomics with protein detection$867,306
R01 · FY2024 · AG
Computational Methods for Emerging Spatially-resolved Transcriptomics with Multiple Samples$404,485
R35 · FY2024 · GM · contact PI
Integrative cellular deconvolution of human brain RNA sequencing data$618,221
R01 · FY2023 · MH
Profiling the human dentate gyrus across the lifespan with spatially-resolved transcriptomics$509,389
R21 · FY2023 · AG
Computational Methods for Emerging Spatially-resolved Transcriptomics with Multiple Samples$404,485
R35 · FY2023 · GM · contact PI
Integrative cellular deconvolution of human brain RNA sequencing data$554,604
R01 · FY2022 · MH
Integrative cellular deconvolution of human brain RNA sequencing data$507,442
R01 · FY2021 · MH
Integrative cellular deconvolution of human brain RNA sequencing data$620,747
R01 · FY2020 · MH
Statistical Methods for the Normalization and Quantification of Single-Cell RNA-Sequencing Data$234,822
R00 · FY2020 · HG · contact PI
Statistical Methods for the Normalization and Quantification of Single-Cell RNA-Sequencing Data$241,618
R00 · FY2019 · HG · contact PI
Statistical Methods for the Normalization and Quantification of Single-Cell RNA-Sequencing Data$248,696
R00 · FY2018 · HG · contact PI
Statistical Methods for the Normalization and Quantification of Single-Cell RNA-Sequencing Data$25,736
K99 · FY2018 · HG · contact PI
Statistical Methods for the Normalization and Quantification of Single-Cell RNA-Sequencing Data$98,178
K99 · FY2017 · HG · contact PI