← Leaderboards
Xiaowen Liu
Michigan State University
$1,641,839
Attributed
$4,337,505
Total exposure
2
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 $688.7K · FY2016–25$1M$750K$500K$250K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,337,505 · 2
By mechanism
R01$4,337,505 · 2
Top collaborators
- Liangliang Sun10 shared
- Amanda B. Hummon5 shared
- Xia Ning5 shared
- Yunlong Liu4 shared
Most similar at Michigan State University
Same institution · by research overlap
- Liangliang Sun$3,766,147
- Amanda B. Hummon$5,256,113
- Jonathan Rennhack$609,248
Others in their field
Top investigators on “Post-Translational Protein Processing”
- Mathangi Thiagarajan · Leidos Biomedical Research, Inc.$37,695,154
- David A Bennett · Rush University Medical Center$26,892,382
- Jennifer E Van Eyk · Johns Hopkins University$21,872,873
- Michael-Christopher Keogh · Epicypher, Inc.$21,772,195
- Eric S. Orwoll · Oregon Health And Science University$20,906,524
- Bruce M Spiegelman · Dana-Farber Cancer Inst$17,897,289
Research focus
Post-Translational Protein ProcessingProteomeSamplingCellsDatabasesInsightProteinsCommunitiesProteomicsAmino Acid SequenceBiologicalCouplingMolecularGenesDetectionTandem Mass SpectrometryCell LineTumorMass Spectrum AnalysisFeedbackComplexComputer SoftwareOpen SourceDesign
Grant awards (14)
Quantitative top-down proteomics of human colorectal cancer cells and tumors$392,016
R01 · FY2025 · CA
Quantitative top-down proteomics of human colorectal cancer cells and tumors$422,165
R01 · FY2024 · CA
Quantitative top-down proteomics of human colorectal cancer cells and tumors$365,244
R01 · FY2023 · CA
COMPUTATIONAL TOOLS FOR PROTEOFORM IDENTIFICATION BY TOP-DOWNDATA INDEPENDENT ACQUISITION MASS SPECTROMETRY$294,904
R01 · FY2023 · GM · contact PI
Quantitative top-down proteomics of human colorectal cancer cells and tumors$363,183
R01 · FY2022 · CA
COMPUTATIONAL TOOLS FOR PROTEOFORM IDENTIFICATION BY TOP-DOWNDATA INDEPENDENT ACQUISITION MASS SPECTROMETRY$282,462
R01 · FY2022 · GM · contact PI
Quantitative top-down proteomics of human colorectal cancer cells and tumors$401,634
R01 · FY2021 · CA
COMPUTATIONAL TOOLS FOR PROTEOFORM IDENTIFICATION BY TOP-DOWNDATA INDEPENDENT ACQUISITION MASS SPECTROMETRY$287,090
R01 · FY2021 · GM · contact PI
COMPUTATIONAL TOOLS FOR PROTEOFORM IDENTIFICATION BY TOP-DOWNDATA INDEPENDENT ACQUISITION MASS SPECTROMETRY$292,538
R01 · FY2020 · GM · contact PI
COMPUTATIONAL TOOLS FOR PROTEOFORM IDENTIFICATION BY TOP-DOWN DATA INDEPENDENT ACQUISITION MASS SPECTROMETRY$60,245
R01 · FY2020 · GM · contact PI
Computational tools for top down mass spectrometry based proteoform identification and proteogenomics$292,647
R01 · FY2019 · GM · contact PI
Computational tools for top down mass spectrometry based proteoform identification and proteogenomics$291,852
R01 · FY2018 · GM · contact PI
Computational tools for top down mass spectrometry based proteoform identification and proteogenomics$292,074
R01 · FY2017 · GM · contact PI
Computational tools for top down mass spectrometry based proteoform identification and proteogenomics$299,451
R01 · FY2016 · GM · contact PI