Xiao‐Yan Wen

6.4k total citations
113 papers, 3.7k citations indexed

About

Xiao‐Yan Wen is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Xiao‐Yan Wen has authored 113 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 20 papers in Immunology and 18 papers in Surgery. Recurrent topics in Xiao‐Yan Wen's work include Acute Kidney Injury Research (13 papers), Zebrafish Biomedical Research Applications (11 papers) and Multiple Myeloma Research and Treatments (8 papers). Xiao‐Yan Wen is often cited by papers focused on Acute Kidney Injury Research (13 papers), Zebrafish Biomedical Research Applications (11 papers) and Multiple Myeloma Research and Treatments (8 papers). Xiao‐Yan Wen collaborates with scholars based in Canada, United States and China. Xiao‐Yan Wen's co-authors include Youhua Liu, John A. Kellum, Chunsun Dai, Yingjian Li, Xiaoyue Tan, A. Keith Stewart, Suzanne Trudel, Raghavan Murugan, Young Sun Kang and L Kiss and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Xiao‐Yan Wen

109 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Yan Wen Canada 35 1.5k 917 468 449 394 113 3.7k
Yanqing Zhu United States 34 1.7k 1.1× 830 0.9× 503 1.1× 417 0.9× 211 0.5× 74 4.1k
Pothana Saikumar United States 24 1.9k 1.2× 751 0.8× 307 0.7× 280 0.6× 205 0.5× 35 3.2k
Jean‐Loup Bascands France 35 1.9k 1.2× 718 0.8× 232 0.5× 452 1.0× 192 0.5× 155 4.7k
Laurent Baud France 35 1.3k 0.9× 720 0.8× 348 0.7× 340 0.8× 454 1.2× 115 3.8k
Éva Kiss Germany 33 1.7k 1.1× 471 0.5× 257 0.5× 421 0.9× 343 0.9× 86 4.1k
Leon A. Bach Australia 43 2.6k 1.7× 815 0.9× 313 0.7× 834 1.9× 273 0.7× 154 6.3k
Jeffrey L. Barnes United States 37 1.9k 1.3× 1.4k 1.5× 318 0.7× 599 1.3× 193 0.5× 92 4.9k
Katherine Spokes United States 36 1.7k 1.2× 895 1.0× 195 0.4× 408 0.9× 319 0.8× 76 4.0k
Craig R. Brooks United States 25 2.5k 1.7× 1.5k 1.6× 436 0.9× 536 1.2× 135 0.3× 44 4.6k
Keiko Uchida Japan 35 1.8k 1.2× 2.0k 2.2× 251 0.5× 565 1.3× 270 0.7× 233 4.9k

Countries citing papers authored by Xiao‐Yan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Yan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Yan Wen. 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 Xiao‐Yan Wen. The network helps show where Xiao‐Yan Wen may publish in the future.

Co-authorship network of co-authors of Xiao‐Yan Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Yan Wen. A scholar is included among the top collaborators of Xiao‐Yan Wen 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 Xiao‐Yan Wen. Xiao‐Yan Wen 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, Lin, Jin Yang, Hanna Liao, et al.. (2025). Chrysin inhibits hypertrophic scar formation through TGF-β/Smad signaling pathways. Journal of Molecular Histology. 56(5). 298–298. 1 indexed citations
2.
Wen, Xiao‐Yan, et al.. (2025). Characteristics, risk factors and a risk prediction model of tocilizumab-induced hypofibrinogenemia: a retrospective real-world study of inpatients. BMC Pharmacology and Toxicology. 26(1). 5–5. 1 indexed citations
3.
Wen, Xiao‐Yan, et al.. (2025). Association between urinary sodium excretion and all-cause mortality: a cohort study in a Chinese community-based population. BMC Cardiovascular Disorders. 25(1). 177–177.
4.
Moore, Michael J., et al.. (2019). Photoacoustic F-Mode imaging for scale specific contrast in biological systems. Communications Physics. 2(1). 17 indexed citations
5.
Kellum, John A., Xiao‐Yan Wen, Mark P. de Caestecker, & Neil A. Hukriede. (2019). Sepsis-Associated Acute Kidney Injury: A Problem Deserving of New Solutions. ˜The œNephron journals/Nephron journals. 143(3). 174–178. 30 indexed citations
6.
Yang, Liang, et al.. (2019). In Vitro Validation of a CRISPR-Mediated CFTR Correction Strategy for Preclinical Translation in Pigs. Human Gene Therapy. 30(9). 1101–1116. 27 indexed citations
7.
Guan, Rui, et al.. (2019). Protocol development for discovery of angiogenesis inhibitors via automated methods using zebrafish. PLoS ONE. 14(11). e0221796–e0221796. 2 indexed citations
8.
Moore, Michael J., et al.. (2018). Simultaneous ultra-high frequency photoacoustic microscopy and photoacoustic radiometry of zebrafish larvae in vivo. Photoacoustics. 12. 14–21. 16 indexed citations
9.
Caldarone, Christopher A., Rui Guan, Xiao‐Yan Wen, et al.. (2018). Nuclear Factor (Erythroid-Derived 2)-Like 2 Regulates the Hepatoprotective Effects of Remote Ischemic Conditioning in Hemorrhagic Shock. Antioxidants and Redox Signaling. 30(14). 1760–1773. 13 indexed citations
10.
Shi, Xingjuan, Ru Chen, Yu Zhang, et al.. (2018). Zebrafish heart failure models: opportunities and challenges. Amino Acids. 50(7). 787–798. 30 indexed citations
12.
Feng, Yibin, Man‐Fung Yuen, Qihe Xu, Xiao‐Yan Wen, & David Q.‐H. Wang. (2016). New Exploration of Chinese Herbal Medicines in Hepatology. Evidence-based Complementary and Alternative Medicine. 2016(1). 3056438–3056438. 1 indexed citations
13.
Sun, Zhuo, Jun Wu, Shuhong Li, et al.. (2014). Uterine-Derived Stem Cells Reconstitute the Bone Marrow of Irradiated Mice. Stem Cells and Development. 24(8). 938–947. 4 indexed citations
14.
Sun, Cuiru, Beau A. Standish, Barry Vuong, Xiao‐Yan Wen, & Victor X. D. Yang. (2013). Digital image correlation–based optical coherence elastography. Journal of Biomedical Optics. 18(12). 121515–121515. 41 indexed citations
15.
Wang, Hongzhi, Jeffery Bishop, Xiao‐Yan Wen, et al.. (2011). Acute removal of common sepsis mediators does not explain the effects of extracorporeal blood purification in experimental sepsis. Kidney International. 81(4). 363–369. 71 indexed citations
16.
Srisawat, Nattachai, Raghavan Murugan, Xiao‐Yan Wen, et al.. (2010). Recovery from Acute Kidney Injury: Determinants and Predictors. Contributions to nephrology. 165. 284–291. 18 indexed citations
17.
Wang, Chunyang, Weiyang Tao, Youdong Wang, et al.. (2010). Rosuvastatin, Identified From a Zebrafish Chemical Genetic Screen for Antiangiogenic Compounds, Suppresses the Growth of Prostate Cancer. European Urology. 58(3). 418–426. 98 indexed citations
18.
Wang, Chunyang, et al.. (2009). SRD5A2 V89L polymorphism and prostate cancer risk: A meta‐analysis. The Prostate. 70(2). 170–178. 18 indexed citations
19.
Tan, Xiaoyue, Xiao‐Yan Wen, & Youhua Liu. (2008). Paricalcitol Inhibits Renal Inflammation by Promoting Vitamin D Receptor–Mediated Sequestration of NF-κB Signaling. Journal of the American Society of Nephrology. 19(9). 1741–1752. 216 indexed citations
20.
Wen, Xiao‐Yan. (2003). Identification of a novel lipase gene mutated in lpd mice with hypertriglyceridemia and associated with dyslipidemia in humans. Human Molecular Genetics. 12(10). 1131–1143. 31 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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