Xiaowen Chen

607 total citations
26 papers, 419 citations indexed

About

Xiaowen Chen is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Xiaowen Chen has authored 26 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Molecular Medicine and 4 papers in Genetics. Recurrent topics in Xiaowen Chen's work include Antibiotic Resistance in Bacteria (4 papers), Metabolism and Genetic Disorders (3 papers) and Epigenetics and DNA Methylation (3 papers). Xiaowen Chen is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Metabolism and Genetic Disorders (3 papers) and Epigenetics and DNA Methylation (3 papers). Xiaowen Chen collaborates with scholars based in China, United States and United Kingdom. Xiaowen Chen's co-authors include Sheng Li, Li Hua, Xiang H.-F. Zhang, Qing Li, Peishan Li, Jiayuan Shi, Leonard D. Shultz, Guangwen Ren, Bora Lim and Zheng Gong and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Blood.

In The Last Decade

Xiaowen Chen

23 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaowen Chen China 11 221 108 87 71 35 26 419
Mladen Paradžik Croatia 9 174 0.8× 123 1.1× 55 0.6× 66 0.9× 10 0.3× 16 424
Maysam Mard‐Soltani Iran 11 175 0.8× 72 0.7× 59 0.7× 106 1.5× 14 0.4× 30 381
Xiaocui Zheng China 9 181 0.8× 83 0.8× 60 0.7× 62 0.9× 10 0.3× 15 327
Dongjie Chen China 12 206 0.9× 53 0.5× 148 1.7× 102 1.4× 27 0.8× 40 452
Jiaqi Yang China 8 232 1.0× 29 0.3× 129 1.5× 75 1.1× 25 0.7× 23 373
Weiqing Wu China 14 284 1.3× 35 0.3× 127 1.5× 70 1.0× 32 0.9× 62 545
Yong Ying China 12 218 1.0× 80 0.7× 26 0.3× 50 0.7× 23 0.7× 25 456
Mehdi Amiri Canada 12 373 1.7× 47 0.4× 50 0.6× 52 0.7× 14 0.4× 29 518
Feipeng Zhao China 10 187 0.8× 54 0.5× 151 1.7× 77 1.1× 10 0.3× 29 377
Chia‐Hsuan Chou Taiwan 16 273 1.2× 51 0.5× 79 0.9× 66 0.9× 13 0.4× 30 480

Countries citing papers authored by Xiaowen Chen

Since Specialization
Citations

This map shows the geographic impact of Xiaowen Chen'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 Xiaowen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowen Chen more than expected).

Fields of papers citing papers by Xiaowen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaowen Chen. 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 Xiaowen Chen. The network helps show where Xiaowen Chen may publish in the future.

Co-authorship network of co-authors of Xiaowen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowen Chen. A scholar is included among the top collaborators of Xiaowen Chen 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 Xiaowen Chen. Xiaowen Chen 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.
Chen, Xiaowen, Joanna Tober, Martin H. Dominguez, et al.. (2025). Lineage tracing studies suggest that the placenta is not a de novo source of hematopoietic stem cells. PLoS Biology. 23(1). e3003003–e3003003. 1 indexed citations
2.
Huang, Jiayan, Junwei Li, Xiaowen Chen, & Jiayu Gu. (2025). Stress-induced hyperglycemia and mortality of non-diabetic patients with sepsis: a meta-analysis. Frontiers in Endocrinology. 16. 1688494–1688494.
4.
Goddard, Lauren M., Courtney C. Hong, Liqing Wang, et al.. (2025). Hemodynamic forces prevent myxomatous valve disease in mice through KLF2/4 signaling. Journal of Clinical Investigation. 135(12).
5.
Patil, Sandip, Hongyu Chen, Yunsheng Chen, et al.. (2024). Genetic landscape of ESBL producing international clone ST410 of Escherichia coli from pediatric infections in Shenzhen, China. Frontiers in Cellular and Infection Microbiology. 14. 1403234–1403234. 1 indexed citations
6.
Chen, Xiaowen, Zhenwei Liu, Hongwei Li, et al.. (2023). Transcriptome analysis reveals the impact of NETs activation on airway epithelial cell EMT and inflammation in bronchiolitis obliterans. Scientific Reports. 13(1). 19226–19226. 5 indexed citations
7.
Patil, Sandip, Xiaowen Chen, Huirong Mai, et al.. (2023). Resistance genomics and molecular epidemiology of high-risk clones of ESBL-producing Pseudomonas aeruginosa in young children. Frontiers in Cellular and Infection Microbiology. 13. 1168096–1168096. 17 indexed citations
8.
Yang, Yi‐Qing, Melanie Mumau, Joanna Tober, et al.. (2022). Endothelial MEKK3-KLF2/4 signaling integrates inflammatory and hemodynamic signals during definitive hematopoiesis. Blood. 139(19). 2942–2957. 11 indexed citations
9.
Fulmer, Diana, Joanne L. Thorvaldsen, Li Li, et al.. (2022). Dysregulated H19/Igf2 expression disrupts cardiac-placental axis during development of Silver-Russell syndrome-like mouse models. eLife. 11. 8 indexed citations
10.
Yang, Rong, et al.. (2021). Telocytes-Derived Extracellular Vesicles Alleviate Aortic Valve Calcification by Carrying miR-30b. ESC Heart Failure. 8(5). 3935–3946. 23 indexed citations
11.
Liu, Liting, et al.. (2021). Effect and Mechanism of Mycobacterium tuberculosis Lipoprotein LpqH in NLRP3 Inflammasome Activation in Mouse Ana‐1 Macrophage. BioMed Research International. 2021(1). 8239135–8239135. 10 indexed citations
12.
Li, Peishan, Ming Lü, Jiayuan Shi, et al.. (2020). Lung mesenchymal cells elicit lipid storage in neutrophils that fuel breast cancer lung metastasis. Nature Immunology. 21(11). 1444–1455. 180 indexed citations
13.
Ashoor, Haitham, Xiaowen Chen, Wojciech Rosikiewicz, et al.. (2020). Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data. Nature Communications. 11(1). 1173–1173. 38 indexed citations
15.
Chen, Xiaowen, et al.. (2017). Case report of congenital glucose-galactose malabsorption in China and literature review. 32(2). 123–127. 1 indexed citations
16.
Yang, Lei, Shiyuan Wang, Meng Zhou, et al.. (2016). Characterize the relationship between essential and TATA-containing genes for S. cerevisiae by network topologies in the perturbation sensitivity network. Genomics. 108(3-4). 177–183. 1 indexed citations
17.
Yang, Lei, Shiyuan Wang, Meng Zhou, et al.. (2016). Comparative analysis of housekeeping and tissue-selective genes in human based on network topologies and biological properties. Molecular Genetics and Genomics. 291(3). 1227–1241. 5 indexed citations
18.
Wang, Ping, et al.. (2016). Prader–Willi syndrome in neonates: twenty cases and review of the literature in Southern China. BMC Pediatrics. 16(1). 124–124. 11 indexed citations
19.
Zhang, Xiuwei, Jianrong Huang, Guobing Wang, et al.. (2015). [Analysis of MUT gene mutations in a patient with isolated methylmalonic acidemia].. PubMed. 32(2). 218–21. 1 indexed citations
20.
Guo, Yanyan, Ge Yang, Guillaume Tetreau, et al.. (2014). The Cultivation of Bt Corn Producing Cry1Ac Toxins Does Not Adversely Affect Non-Target Arthropods. PLoS ONE. 9(12). e114228–e114228. 22 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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