Xiaowei Zhan

31.4k total citations · 1 hit paper
75 papers, 2.6k citations indexed

About

Xiaowei Zhan is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Xiaowei Zhan has authored 75 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 21 papers in Genetics and 12 papers in Artificial Intelligence. Recurrent topics in Xiaowei Zhan's work include Gut microbiota and health (15 papers), Genetic Associations and Epidemiology (15 papers) and Gene expression and cancer classification (8 papers). Xiaowei Zhan is often cited by papers focused on Gut microbiota and health (15 papers), Genetic Associations and Epidemiology (15 papers) and Gene expression and cancer classification (8 papers). Xiaowei Zhan collaborates with scholars based in United States, China and Myanmar. Xiaowei Zhan's co-authors include Yang Xie, Jiwoong Kim, Guanghua Xiao, Shidan Wang, Donghan M. Yang, Ruichen Rong, Andrew Y. Koh, Dajiang J. Liu, Gonçalo R. Abecasis and Laura Coughlin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Xiaowei Zhan

69 papers receiving 2.6k citations

Hit Papers

A critical assessment of using ChatGPT for extracting str... 2024 2026 2025 2024 25 50 75 100

Peers

Xiaowei Zhan
Wayne Wenzhong Xu United States
Kevin K. Dobbin United States
Hui Ye China
Stephen C. Schmechel United States
Ramy Arnaout United States
Wayne Wenzhong Xu United States
Xiaowei Zhan
Citations per year, relative to Xiaowei Zhan Xiaowei Zhan (= 1×) peers Wayne Wenzhong Xu

Countries citing papers authored by Xiaowei Zhan

Since Specialization
Citations

This map shows the geographic impact of Xiaowei Zhan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaowei Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Zhan more than expected).

Fields of papers citing papers by Xiaowei Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaowei Zhan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaowei Zhan. The network helps show where Xiaowei Zhan may publish in the future.

Co-authorship network of co-authors of Xiaowei Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Zhan. A scholar is included among the top collaborators of Xiaowei Zhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaowei Zhan. Xiaowei Zhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Coughlin, Laura, Nicole Poulides, Talia Jewell, et al.. (2025). Optimizing Precision Probiotics for Mitigating Graft-Versus-Host Disease. Microorganisms. 13(4). 706–706.
2.
Hu, Jing, et al.. (2025). Quantitative and large-scale investigation of human TCR-HLA cross-reactivity. Science Advances. 11(43). eadx1751–eadx1751.
3.
Rodrigues, Marinelle, A. L. Lyon, Laura Coughlin, et al.. (2024). Susceptible bacteria can survive antibiotic treatment in the mammalian gastrointestinal tract without evolving resistance. Cell Host & Microbe. 32(3). 396–410.e6. 4 indexed citations
4.
Zhang, Hongyi, et al.. (2024). Interpretable GWAS by linking clinical phenotypes to quantifiable immune repertoire components. Communications Biology. 7(1). 1357–1357. 1 indexed citations
5.
Rong, Ruichen, Shidan Wang, Xinyi Zhang, et al.. (2023). Enhanced Pathology Image Quality with Restore–Generative Adversarial Network. American Journal Of Pathology. 193(4). 404–416. 13 indexed citations
6.
Zhong, Xue, Jianhui Wang, James J. Moresco, et al.. (2023). OVOL2 sustains postnatal thymic epithelial cell identity. Nature Communications. 14(1). 7786–7786. 3 indexed citations
7.
Lichterman, Jake, Laura Coughlin, Nicole Poulides, et al.. (2023). Immune checkpoint blockade induces gut microbiota translocation that augments extraintestinal antitumor immunity. Science Immunology. 8(81). eabo2003–eabo2003. 76 indexed citations
8.
Wang, Shidan, Ruichen Rong, Donghan M. Yang, et al.. (2023). Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images. Nature Communications. 14(1). 7872–7872. 20 indexed citations
9.
Monogue, Marguerite L., James M. Sanders, Christine Pybus, et al.. (2023). Ceftolozane/tazobactam heteroresistance in cystic fibrosis-relatedPseudomonas aeruginosainfections. JAC-Antimicrobial Resistance. 5(4). dlad083–dlad083. 3 indexed citations
10.
Kim, Jiwoong, Christine Pybus, Richard J Medford, et al.. (2022). Clinically undetected polyclonal heteroresistance among Pseudomonas aeruginosa isolated from cystic fibrosis respiratory specimens. Journal of Antimicrobial Chemotherapy. 77(12). 3321–3330. 2 indexed citations
11.
Gao, Galen F., Dajiang J. Liu, Xiaowei Zhan, & Bo Li. (2022). Analysis of KIR gene variants in The Cancer Genome Atlas and UK Biobank using KIRCLE. BMC Biology. 20(1). 191–191. 4 indexed citations
12.
Rong, Ruichen, Shuang Jiang, Lin Xu, et al.. (2021). MB-GAN: Microbiome Simulation via Generative Adversarial Network. GigaScience. 10(2). 22 indexed citations
13.
Kim, Jiwoong, Shuang Jiang, Yiqing Wang, et al.. (2021). MetaPrism: A versatile toolkit for joint taxa/gene analysis of metagenomic sequencing data. G3 Genes Genomes Genetics. 11(4). 1 indexed citations
14.
Lu, Tianshi, Seongoh Park, James Zhu, et al.. (2021). Overcoming Expressional Drop-outs in Lineage Reconstruction from Single-Cell RNA-Sequencing Data. Cell Reports. 34(1). 108589–108589. 12 indexed citations
15.
Zhang, Hongyi, Xiaowei Zhan, & Bo Li. (2021). Publisher Correction: GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation. Nature Communications. 12(1). 5334–5334. 3 indexed citations
16.
Zhang, Hongyi, Xiaowei Zhan, & Bo Li. (2021). GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation. Nature Communications. 12(1). 4699–4699. 65 indexed citations
17.
Kim, Jiwoong, David E. Greenberg, Reed Pifer, et al.. (2020). VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning. PLoS Computational Biology. 16(1). e1007511–e1007511. 52 indexed citations
18.
Zhang, Hongyi, Longchao Liu, Jian Zhang, et al.. (2019). Investigation of Antigen-Specific T-Cell Receptor Clusters in Human Cancers. Clinical Cancer Research. 26(6). 1359–1371. 99 indexed citations
19.
Choi, Jin Huk, Kuan-Wen Wang, Duanwu Zhang, et al.. (2017). IgD class switching is initiated by microbiota and limited to mucosa-associated lymphoid tissue in mice. Proceedings of the National Academy of Sciences. 114(7). E1196–E1204. 40 indexed citations
20.
Simms-Waldrip, Tiffany, Laura Coughlin, Milan R. Savani, et al.. (2017). Antibiotic-Induced Depletion of Anti-inflammatory Clostridia Is Associated with the Development of Graft-versus-Host Disease in Pediatric Stem Cell Transplantation Patients. Biology of Blood and Marrow Transplantation. 23(5). 820–829. 120 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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