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Yu Gao

University Of Illinois At Chicago

$3,252,018
Attributed
$4,533,591
Total exposure
3
Grants
1
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 · FY201925
$2M$1.5M$1M$500K$0
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$4,533,591 · 3

By mechanism

U01$2,010,000 · 1
R35$1,970,445 · 1
R21$553,146 · 1

Top collaborators

Most similar at University Of Illinois At Chicago

Same institution · by research overlap

Others in their field

Other Emerging Leaders on “Post-Translational Protein Processing

Research focus

Post-Translational Protein ProcessingProteomicsResourcesSignal TransductionResolutionCellsProtein ExpressionResearch PersonnelTranscriptomicsProteomeTechnologySamplingNew TechnologyNeoplasm MetastasisMass Spectrum AnalysisTissuesInnovationPreparationInsightFutureProteinsData SetPeptidesExtracellular Matrix

Grant awards (13)

Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlas$465,000
U01 · FY2025 · HG
Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlas$465,000
U01 · FY2024 · HG
Enhanced mass-spectrometry-based approaches for in-depth profiling of the cancer extracellular matrix$135,507
R21 · FY2024 · CA
Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlas$465,000
U01 · FY2023 · HG
Highly sensitive proteomics method to probe cell heterogeneity at single cell resolution$394,089
R35 · FY2023 · GM · contact PI
Enhanced mass-spectrometry-based approaches for in-depth profiling of the cancer extracellular matrix$206,580
R21 · FY2023 · CA
Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlas$150,000
U01 · FY2023 · HG
Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlas$465,000
U01 · FY2022 · HG
Highly sensitive proteomics method to probe cell heterogeneity at single cell resolution$394,089
R35 · FY2022 · GM · contact PI
Enhanced mass-spectrometry-based approaches for in-depth profiling of the cancer extracellular matrix$211,059
R21 · FY2022 · CA
Highly sensitive proteomics method to probe cell heterogeneity at single cell resolution$394,089
R35 · FY2021 · GM · contact PI
Highly sensitive proteomics method to probe cell heterogeneity at single cell resolution$394,089
R35 · FY2020 · GM · contact PI
Highly sensitive proteomics method to probe cell heterogeneity at single cell resolution$394,089
R35 · FY2019 · GM · contact PI