← Leaderboards
Xingyi Guo
Vanderbilt University Medical Center
$6,823,295
Attributed
$9,996,212
Total exposure
3
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 $4.9M · FY2018–25$5M$3.8M$2.5M$1.3M$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$9,996,212 · 3
By mechanism
R01$6,345,835 · 2
R37$3,650,377 · 1
Top collaborators
- Wei Zheng3 shared
- Zhijun Yin1 shared
Most similar at Vanderbilt University Medical Center
Same institution · by research overlap
- Jirong Long$13,192,560
- Qiuyin Cai$14,165,660
- Shaneda Warren Andersen$3,520,070
- Xiang Shu$2,859,955
- Keith T Wilson$21,094,933
Others in their field
Other Emerging Leaders on “Tissues”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Kevin Urdahl · Seattle Children'S Hospital$84,741,409
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$61,115,130
- Leonard Freedman · Leidos Biomedical Research, Inc.$54,559,980
- Sarah Fortune · Harvard School Of Public Health$51,119,645
- Evan Z Macosko · Broad Institute, Inc.$33,867,067
Research focus
TissuesSusceptibility GeneColorectal CancerColorectal Cancer RiskGeneticTranscriptomeGene ExpressionCarcinomaColonEuropeanEtiologyDisorder PreventionColon Cancer Cell LineTranscriptome SequencingGenome Wide Association StudyPlayCancer-Predisposing GeneIn VitroGenesResearch DesignUnited StatesCell PhysiologyExperimental StudyAsia
Grant awards (11)
Leveraging Omics and Electronic Health Records Data to study Colorectal Adenoma genetics and Drug Repurposing$4,174,595
R01 · FY2025 · CA · contact PI
Uncovering colorectal cancer etiology and biology by integrating proteomics with other omics data$723,688
R01 · FY2025 · CA · contact PI
Uncovering colorectal cancer etiology and biology by integrating proteomics with other omics data$687,510
R01 · FY2024 · CA · contact PI
Uncovering colorectal cancer etiology and biology by integrating proteomics with other omics data$760,042
R01 · FY2023 · CA · contact PI
Transcriptome-wide association study to identify susceptibility genes for colorectal cancer$602,189
R37 · FY2023 · CA · contact PI
Transcriptome-wide association study to identify susceptibility genes for colorectal cancer$614,645
R37 · FY2022 · CA · contact PI
Transcriptome-wide association study to identify susceptibility genes for colorectal cancer$125,000
R37 · FY2022 · CA · contact PI
Transcriptome-wide association study to identify susceptibility genes for colorectal cancer$559,998
R37 · FY2021 · CA · contact PI
Transcriptome-wide association study to identify susceptibility genes for colorectal cancer$583,603
R37 · FY2020 · CA · contact PI
Transcriptome-wide association study to identify susceptibility genes for colorectal cancer$545,317
R37 · FY2019 · CA · contact PI
Transcriptome-wide association study to identify susceptibility genes for colorectal cancer$619,625
R37 · FY2018 · CA · contact PI