← Leaderboards
Samuel H Payne
New York University School Of Medicine
$3,425,289
Attributed
$6,503,694
Total exposure
3
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 $1.1M · FY2016–25$2M$1.5M$1M$500K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,503,694 · 3
By mechanism
U24$3,309,088 · 1
R01$1,646,800 · 1
P41$1,547,806 · 1
Top collaborators
- Michael R Shortreed7 shared
- Li Ding5 shared
- David Fenyo5 shared
- Lennart Martens1 shared
Most similar at New York University School Of Medicine
Same institution · by research overlap
- Katharina Schultebraucks$6,916,506
- Clifton O Bingham$5,161,468
- Jill P Buyon$29,367,681
- Janice M. Mehnert$4,684,455
- Kelly Valentine Ruggles$2,340,452
Others in their field
Top investigators on “Proteomics”
- David Heimbrook · Leidos Biomedical Research, Inc.$318,825,229
- Stanley M Lemon · Univ Of North Carolina Chapel Hill$110,612,005
- Alan F Horwitz · University Of Virginia Charlottesville$73,668,592
- Gaetano T Montelione · Rutgers The St Univ Of Nj New Brunswick$70,176,616
- Rolf Apweiler · European Molecular Biology Laboratory$67,677,991
- Daniel Ernest Ford · Johns Hopkins University$67,257,868
Research focus
ProteomicsProteinsSamplingPeptidesProteomeAlgorithmsSoftware ToolsComputerized ToolsCellsDesignFeedbackTechnologyIonsInsightPathway InteractionsMeasurementLibrariesResourcesCommunitiesComputerized Data ProcessingMass Spectrum AnalysisData AnalysesBiologicalData Set
Grant awards (17)
Enhanced Sensitivity and Quantitative Precision for Single Cell Proteomics$302,287
R01 · FY2025 · GM · contact PI
Enhanced Sensitivity and Quantitative Precision for Single Cell Proteomics$301,329
R01 · FY2024 · GM · contact PI
Enhanced Sensitivity and Quantitative Precision for Single Cell Proteomics$65,450
R01 · FY2024 · GM · contact PI
Enhanced Sensitivity and Quantitative Precision for Single Cell Proteomics$300,438
R01 · FY2023 · GM · contact PI
Creating AI/ML-ready data for single cell proteomics$293,679
R01 · FY2023 · GM · contact PI
Diversity Supplement for Alyssa Nitz for GM147653$71,510
R01 · FY2023 · GM · contact PI
Bioinformatics, data integration, and knowledge extraction from high throughput proteomics for enabling biomedical applications$315,117
P41 · FY2022 · GM · contact PI
Enhanced Sensitivity and Quantitative Precision for Single Cell Proteomics$312,107
R01 · FY2022 · GM · contact PI
Bioinformatics, data integration, and knowledge extraction from high throughput proteomics for enabling biomedical applications$317,649
P41 · FY2021 · GM · contact PI
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation$619,256
U24 · FY2020 · CA
Bioinformatics, data integration, and knowledge extraction from high throughput proteomics for enabling biomedical applications$307,074
P41 · FY2020 · GM · contact PI
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation$602,582
U24 · FY2019 · CA
Bioinformatics, data integration, and knowledge extraction from high throughput proteomics for enabling biomedical applications$303,121
P41 · FY2019 · GM · contact PI
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation$803,184
U24 · FY2018 · CA
Bioinformatics, data integration, and knowledge extraction from high throughput proteomics for enabling biomedical applications$304,845
P41 · FY2018 · GM · contact PI
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation$624,613
U24 · FY2017 · CA
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation$659,453
U24 · FY2016 · CA