← Leaderboards
Patrick David Schloss
University Of Michigan At Ann Arbor
$8,873,023
Attributed
$15,078,760
Total exposure
6
Grants
5
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 $2.8M · FY2010–24$5M$3.8M$2.5M$1.3M$0
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'15
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'19
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'24
Funding mix
By agency
NIH$15,078,760 · 6
By mechanism
U01$10,992,953 · 2
R01$3,937,847 · 3
R25$147,960 · 1
Top collaborators
- Vincent B Young5 shared
- Mack T Ruffin4 shared
- Marcy J Balunas3 shared
Most similar at University Of Michigan At Ann Arbor
Same institution · by research overlap
- David George Beer$7,871,560
- Dean E. Brenner$31,108,993
- Casey Michelle Theriot$3,064,394
- Gabriel Nunez$34,455,724
- Philip S Schoenfeld$2,912,901
Others in their field
Top investigators on “Microbial”
- Richard A Gibbs · Baylor College Of Medicine$83,404,176
- Eric S Lander · Whitehead Institute For Biomedical Res$77,457,964
- Stacey Gabriel · Massachusetts Institute Of Technology$77,457,964
- Bruce W. Birren · Broad Institute, Inc.$74,557,756
- Richard K. Wilson · Washington University$72,036,258
- Anita L Lopez · University Of Hawaii$59,384,372
Research focus
MicrobialBaseStructureCommunitiesTechnologyMicrobiomeLeadBioinformaticsAffectDesignPreventSamplingInnovationHuman MicrobiomeResearch PersonnelPublic Health RelevanceGut MicrobiotaCohortComplexEnvironmentPathogenMicrobial CommunityMicrobiotaMalignant Neoplasms
Grant awards (21)
muMS2: an open source R package for analyzing and integrating multi-omics datasets to improve early detection and understanding of colorectal cancer$361,369
U01 · FY2024 · CA · contact PI
muMS2: an open source R package for analyzing and integrating multi-omics datasets to improve early detection and understanding of colorectal cancer$380,944
U01 · FY2023 · CA · contact PI
muMS2: an open source R package for analyzing and integrating multi-omics datasets to improve early detection and understanding of colorectal cancer$408,122
U01 · FY2022 · CA · contact PI
Identification of Microbiome Based Markers to Improve Colorectal Cancer Detection$319,318
R01 · FY2021 · CA · contact PI
Systems biology of Clostridium difficile infection$1,683,467
U01 · FY2020 · AI
Identification of Microbiome Based Markers to Improve Colorectal Cancer Detection$340,154
R01 · FY2020 · CA · contact PI
Systems biology of Clostridium difficile infection$1,847,297
U01 · FY2019 · AI
Identification of Microbiome Based Markers to Improve Colorectal Cancer Detection$131,521
R01 · FY2019 · CA · contact PI
Systems biology of Clostridium difficile infection$2,189,155
U01 · FY2018 · AI
Identification of Microbiome Based Markers to Improve Colorectal Cancer Detection$627,529
R01 · FY2018 · CA · contact PI
Systems biology of Clostridium difficile infection$2,064,979
U01 · FY2017 · AI
Systems biology of Clostridium difficile infection$2,057,620
U01 · FY2016 · AI
Development of reproducible informatics skills among microbiome researchers$73,980
R25 · FY2016 · GM · contact PI
Diversity and stability relationships in the murine microbiome$347,801
R01 · FY2015 · GM · contact PI
Development of reproducible informatics skills among microbiome researchers$73,980
R25 · FY2015 · GM · contact PI
Diversity and stability relationships in the murine microbiome$347,985
R01 · FY2014 · GM · contact PI
Diversity and stability relationships in the murine microbiome$335,977
R01 · FY2013 · GM · contact PI
Identifying population-level variation in cross-sectional and longitudinal HMP st$375,842
R01 · FY2012 · HG · contact PI
Diversity and stability relationships in the murine microbiome$362,211
R01 · FY2012 · GM · contact PI
Identifying population-level variation in cross-sectional and longitudinal HMP st$376,032
R01 · FY2011 · HG · contact PI
Identifying population-level variation in cross-sectional and longitudinal HMP st$373,477
R01 · FY2010 · HG · contact PI