Author

Ziyang Chen

Princeton UniversityORCID 0000-0002-2467-8372Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:database / resource· 1 Assay:metabolomics· 1 Organism:mouse· 1

Frequent Co-Authors

Ned S. WingreeniD· 2 shared Zemer GitaiiD· 2 shared Alexis J. CowaniD· 1 shared Andrew G. T. PyoiD· 1 shared Antonio D. MuscarellaiD· 1 shared Ashley M. LatoiD· 1 shared Brandon J. KennedyiD· 1 shared Joshua D. RabinowitziD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersMicrobiology

Ned S. WingreenORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cell-body curvature modulates stall frequency to enhance Vibrio cholerae swimming and chemotaxis through hydrogels

Marwan Malik, Ziyang Chen, Andrew G. T. Pyo, Zemer Gitai, Ned S. Wingreen, Marianne Grognot

This study shows that curved Vibrio cholerae cells swim more efficiently through mucus-like hydrogels than straight mutants, with curvature enhancing chemotaxis by reducing stalls.

Communications Biology · Sep 8, 2026Peer-reviewedMicrobiology

Pseudomonas aeruginosa deploys competitor-specific antagonistic strategies

Ziyang Chen, Ned S. Wingreen, Zemer Gitai

This study shows Pseudomonas aeruginosa uses different antagonistic strategies to outcompete Burkholderia cenocepacia and Staphylococcus aureus, depending on the competitor's growth rate.

bioRxiv · Apr 17, 2026 · PreprintMicrobiology

Metabolite discovery through global annotation of untargeted metabolomics data

Li Chen, Wenyun Lu, Lin Wang, Xi Xing, Ziyang Chen, Xin Teng, Xianfeng Zeng, Antonio D. Muscarella, Yihui Shen, Alexis J. Cowan, Melanie R. McReynolds, Brandon J. Kennedy, Ashley M. Lato, Shawn Robert Campagna, Mona Singh, Joshua D. Rabinowitz

The paper introduces NetID, a global network optimization method for annotating untargeted metabolomics data, identifying novel metabolites in yeast and mouse datasets.

Nature Methods · Oct 28, 2021Peer-reviewedBioinformatics