Author

Kevin D. Quinn

University of Colorado AnschutzORCID 0000-0002-3791-8128Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Catherine LozuponeiD· 2 shared Katrina Doenges· 2 shared Nichole A. ReisdorphiD· 2 shared Cassandra L. Levens· 1 shared Harry SmithiD· 1 shared John D. SterrettiD· 1 shared Kristine A. KuhniD· 1 shared Kumar ThurimellaiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersSystems Biology

Catherine LozuponeORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Appearance of green tea compounds in plasma following acute green tea consumption is modulated by the gut microbiome in mice

John D. Sterrett, Kevin D. Quinn, Katrina Doenges, Nichole M. Nusbacher, Cassandra L. Levens, Mike L. Armstrong, Richard M. Reisdorph, Harry Smith, Laura M. Saba, Kristine A. Kuhn, Catherine Lozupone, Nichole A. Reisdorph

This study identifies green tea compounds in plasma of mice with and without gut microbiomes, showing their metabolism is influenced by microbiome composition and diversity.

Microbiology Spectrum · Jan 10, 2025Peer-reviewedSystems Biology

AMON: Annotation of metabolite origins via networks to better integrate microbiome and metabolome data

M. Shaffer, Kumar Thurimella, Kevin D. Quinn, Katrina Doenges, Xuhong Zhang, Samantha S. Bokatzian, Nichole A. Reisdorph, Catherine Lozupone

AMON identifies the origin of metabolites as host, microbial, or environmental to improve integration of microbiome and metabolome data.

BMC Bioinformatics · Nov 28, 2019Peer-reviewedBioinformatics