Author

S. Schuchardt

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Franke· 2 shared D. M. Harris· 2 shared K. Aden· 2 shared M. Oumari· 2 shared N. Frey· 2 shared P. Rosenstiel· 2 shared S. Schreiber· 2 shared S. Waschina· 2 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 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 papersImmunology

A. Franke

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Tryptophan wasting and disease activity as a systems phenomenon in inflammation - an analysis across 13 chronic inflammatory diseases.

D. M. Harris, S. Szymczak, S. Schuchardt, J. Labrenz, F. Tran, L. Welz, H. Grasshoff, H. Zirpel, M. Suembuel, M. Oumari, N. Engelbogen, R. Junker, C. Conrad, D. Thaci, N. Frey, , K. Aden

This study examines tryptophan wasting across 13 chronic inflammatory diseases, finding reduced serum tryptophan levels and increased kynurenine pathway activity linked to disease activity.

bioRxiv · Aug 25, 2023 · PreprintImmunology

Amino acid auxotrophies in human gut bacteria are linked to higher microbiome diversity and long-term stability

S. Starke, D. M. Harris, J. Zimmermann, S. Schuchardt, M. Oumari, D. Frank, C. Bang, P. Rosenstiel, S. Schreiber, N. Frey, A. Franke, K. Aden, S. Waschina

This study links amino acid auxotrophies in human gut bacteria to increased microbiome diversity and long-term stability through a combined metabolomic, metagenomic, and metabolic modeling approach.

bioRxiv · Mar 23, 2023Microbiology