Author

Xuan Wang

Chinese Academy of Sciences

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

Same name, identified by ORCID

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Biochemistry· 1 Evolutionary Biology· 1 Genetic & Genomic Medicine· 1 Physiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 3 Organism:human· 3 Organism:mouse· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Ahmed M. YounisiD· 1 shared Ali EsmailizadehiD· 1 shared An ZhuiD· 1 shared Andrei D. Poyarkov· 1 shared Anselm Schwoerbel· 1 shared Arun Jayant SanyaliD· 1 shared Bo-Wen Zhou· 1 shared Bowen SongiD· 1 shared

Activity by Year

2015-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 8 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

1 shared paperPhysiology

Ahmed M. YounisORCID

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Cholangiocyte RUNX1 Orchestrates Fibrogenic and Inflammatory Signaling to Drive Biliary Fibrosis

Sayed Obaidullah Aseem, J Wang, Ahmed M. Younis, Diana Nakib, Grayson W. Way, Christiane Carter, Derrick Zhao, Yunling Tai, Xuan Wang, Emily Gurley, Sonya A. MacParland, Phillip B. Hylemon, Nidhi Jalan‐Sakrikar, Robert C. Huebert, Saul J. Karpen, , Huiping Zhou

This study identifies RUNX1 as a key transcriptional regulator of fibrogenic and inflammatory signaling in cholangiocytes, showing its inhibition reduces biliary fibrosis and inflammation in models of cholangiopathy.

bioRxiv · May 22, 2026 · PreprintPhysiology

OpenAc4C: A gateway to decode the landscape, regulation and pathogenesis of N4-acetylcytidine (ac4C) epitranscriptome

Gang Tu, Yigan Zhang, Xuan Wang, Jishuai Zhang, An Zhu, Kunqi Chen, Zhixing Wu, Zekai Wu, Y. Lynn Wang, Jingxian Zhou, Zhen Wei, Guifang Jia, Jia Meng, Daniel John Rigden, Bowen Song

OpenAc4C compiles and analyzes ac4C epitranscriptome data from 33 species, identifying 536,745 ac4C sites and 4,766 pathogenic variants, and provides a web-based platform for exploration.

bioRxiv · Apr 5, 2026 · PreprintBioinformatics

Controlled Delivery and Light-Induced Release of Magic Spot Nucleotides in Escherichia coli

Christoph Popp, Patrick Moser, Anselm Schwoerbel, Xinwei Liu, Johannes Freitag, Pinku Sarmah, Isabel Prucker, Robert Zscherp, Xuan Wang, Philipp Klahn, Hans‐Georg Koch, Gert Bange, Henning Jacob Jessen

This paper develops photocaged MSN analogues that can be delivered into E. coli, photo-released, and tracked to study their metabolic effects.

Angewandte Chemie International Edition · Feb 25, 2026Peer-reviewedBiochemistry

Copy number signature analyses in prostate cancer reveal distinct etiologies and clinical outcomes

Shixiang Wang, Huimin Li, Minfang Song, Zaoke He, Tao Wu, Xuan Wang, Ziyu Tao, Kai Wu, Xuesong Liu

This study identifies five copy number signatures in prostate cancer using sigminer, revealing distinct etiologies and improved clinical outcome associations compared to single base substitution signatures.

PLoS Genetics · May 4, 2021Peer-reviewedGenetic & Genomic Medicine

Canine transmissible venereal tumor genome reveals ancient introgression from coyotes to arctic sled dogs

Xuan Wang, Bo-Wen Zhou, Ting-Ting Yin, Fang-Liang Chen, Ali Esmailizadeh, Melissa M. Turner, Andrei D. Poyarkov, Peter Savolainen, Guo-Dong Wang, Qiaomei Fu, Ya-Ping Zhang

bioRxiv · Jun 19, 2018 · PreprintEvolutionary Biology

Sphinx: modeling transcriptional heterogeneity in single-cell RNA-Seq

Jinghua Gu, Qiumei Gu, Xuan Wang, Pingjian Yu, Wei Lin

The paper introduces a model to detect changes in transcriptional heterogeneity using burst proportion and magnitude, validated by RNA-FISH.

bioRxiv · Oct 1, 2015 · PreprintBioinformatics