Author

Gang Yu

Children's Hospital of Zhejiang UniversityORCID 0000-0001-9935-9969Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Gang Yu2 papers · Ludwig-Maximilians-Universität München

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:statistical model· 3 Research Focus:database / resource· 2 Organism:human· 2 Assay:metabolomics· 2 Research Focus:metabolism & bioenergetics· 1

Frequent Co-Authors

Jiating HuangiD· 2 shared JUNFEN FUiD· 2 shared Yan NiiD· 2 shared Ana Liu· 1 shared Claire Joanne StevesiD· 1 shared Cuifang XuiD· 1 shared Feihong LuoiD· 1 shared Feng JuiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersMicrobiology

Jiating HuangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Integrated Metagenomics and Metabolomics Studies Reveal Core Bacterial Guild Regulating Carbohydrate Metabolism in Pediatric MASLD

Jiating Huang, Xuelian Zhou, H L Wang, Ana Liu, JUNFEN FU, G P Dong, Ying Shen, Wenqing Xiang, Jeffrey B. Schwimmer, Gang Yu, Jian Huang, Yingping Xiao, Yan Ni

This study integrates metagenomics and metabolomics to identify core bacterial species regulating carbohydrate metabolism in pediatric MASLD, highlighting their role in metabolic disruption.

bioRxiv · May 11, 2026 · PreprintMicrobiology

OBMeta: a comprehensive web server to analyze and validate gut microbial features and biomarkers for obesity-associated metabolic diseases

Cuifang Xu, Jiating Huang, Yongqiang Gao, Weixing Zhao, Yiqi Shen, Feihong Luo, Gang Yu, Feng Zhu, Yan Ni

OBMeta provides a web server for analyzing and validating gut microbial features and biomarkers related to obesity and metabolic diseases through integrated metagenomics analysis and cross-validation of public datasets.

Bioinformatics · Dec 1, 2023Peer-reviewedBioinformatics

M2IA: a Web Server for Microbiome and Metabolome Integrative Analysis

Yan Ni, Gang Yu, Huan Chen, Yongqiong Deng, Philippa M. Wells, Claire Joanne Steves, Feng Ju, Junfen Fu

M2IA is a web server that integrates microbiome and metabolome data to identify pathways linked to obesity using TwinsUK cohort data.

Bioinformatics · Mar 13, 2020Peer-reviewedBioinformatics