Author

Xiao Wang

Nanyang Technological UniversityORCID 0000-0002-7380-1832Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xiao Wang13 papers · Indiana University Bloomington

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:C. elegans· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Caroline Helen JohnsoniD· 1 shared Chao JiangiD· 1 shared Darrick R. Gates· 1 shared Feifan ZhangiD· 1 shared Hong Yuan YaniD· 1 shared Jason F. CooperiD· 1 shared Jingxiang Zhang· 1 shared Junli ZhangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Caroline Helen JohnsonORCID

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2 papers

Recent·Most cited

Bacterial metabolites alter the consequences of reduced insulin signaling in C. elegans via increasing the expression of the acid sphingomyelinase asm-3.

Marco E. Mechan Llontop, Kelsie M. Nauta, Darrick R. Gates, Xiao Wang, Jason F. Cooper, Nicholas O. Burton

This study shows that bacterial metabolites affect insulin signaling in C. elegans by altering acid sphingomyelinase expression.

bioRxiv · Oct 24, 2026 · PreprintMicrobiology

TidyMass2: Advancing LC-MS Untargeted Metabolomics Through Metabolite Origin Inference and Metabolic Feature-based Functional Module Analysis

Xiao Wang, Yijiang Liu, Chao Jiang, Zinuo Huang, Hong Yuan Yan, Sunny Hei Wong, Caroline Helen Johnson, Jingxiang Zhang, Yun Ge, Feifan Zhang, Junli Zhang, Renfu Lai, Peng Gao, Xuebin Zhang, Xiaotao Shen

TidyMass2 improves untargeted metabolomics by inferring metabolite origins and analyzing functional modules, increasing biologically interpretable features from 5.8% to 58.8% in pregnancy urine data.

Nature Communications · Jan 17, 2026Peer-reviewedBioinformatics