Xiaoping Wan

6.6k total citations
153 papers, 4.3k citations indexed

About

Xiaoping Wan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Xiaoping Wan has authored 153 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 30 papers in Cardiology and Cardiovascular Medicine and 26 papers in Oncology. Recurrent topics in Xiaoping Wan's work include Cardiac electrophysiology and arrhythmias (26 papers), Ion channel regulation and function (20 papers) and Endometrial and Cervical Cancer Treatments (12 papers). Xiaoping Wan is often cited by papers focused on Cardiac electrophysiology and arrhythmias (26 papers), Ion channel regulation and function (20 papers) and Endometrial and Cervical Cancer Treatments (12 papers). Xiaoping Wan collaborates with scholars based in China, United States and Japan. Xiaoping Wan's co-authors include Kenneth R. Laurita, David Rosenbaum, Eckhard Ficker, Yinyan He, Isabelle Deschênes, Shuangdi Li, Qi Che, Fangyuan Wang, Yun Liao and Bilan Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Xiaoping Wan

151 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Wan China 39 2.8k 1.1k 949 625 437 153 4.3k
Hannes C. A. Drexler Germany 34 3.8k 1.3× 308 0.3× 820 0.9× 909 1.5× 698 1.6× 69 5.8k
Ross D. Hannan Australia 53 6.4k 2.3× 950 0.8× 833 0.9× 1.4k 2.2× 538 1.2× 151 8.6k
Shigehiko Mizutani Japan 41 1.8k 0.6× 825 0.7× 535 0.6× 1.7k 2.7× 867 2.0× 225 5.6k
Carlos D. Figueroa Chile 29 1.4k 0.5× 465 0.4× 317 0.3× 434 0.7× 801 1.8× 93 4.1k
Enric Condom Spain 37 1.7k 0.6× 411 0.4× 316 0.3× 533 0.9× 311 0.7× 106 3.6k
Hisakazu Ogita Japan 38 2.4k 0.8× 1.1k 0.9× 281 0.3× 465 0.7× 690 1.6× 100 4.9k
Hua Pan United States 37 2.7k 1.0× 244 0.2× 670 0.7× 314 0.5× 546 1.2× 160 4.7k
Futoshi Shibasaki Japan 39 4.4k 1.6× 579 0.5× 690 0.7× 660 1.1× 719 1.6× 96 6.1k
Anja van de Stolpe Netherlands 27 1.3k 0.4× 182 0.2× 673 0.7× 779 1.2× 746 1.7× 83 3.3k
Graham C. Parry United States 36 1.7k 0.6× 267 0.2× 1.4k 1.5× 814 1.3× 1.4k 3.3× 75 5.0k

Countries citing papers authored by Xiaoping Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Wan. A scholar is included among the top collaborators of Xiaoping Wan 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 Xiaoping Wan. Xiaoping Wan 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.
Tang, Ming, Xiaoxiang Sun, Xiaoqi Li, et al.. (2025). SIRT7 facilitates endometrial cancer progression by regulating PTEN stability in an estrogen-dependent manner. Nature Communications. 16(1). 2989–2989.
2.
Li, Huilong, et al.. (2025). LRRC56 deletion causes primary ciliary dyskinesia in mice characterized by dynein arms defects. Biology Open. 14(2). 3 indexed citations
3.
Wang, Lulu, Bingyi Yang, Shi‐Min Zhao, et al.. (2025). Cholesterol desensitizes the response of endometrial cancer to progestin by attenuating progestin signaling. Science Translational Medicine. 17(818). eadp0064–eadp0064.
4.
5.
Wang, Mengfei, et al.. (2024). LATS1/2 loss promote tumor immune evasion in endometrial cancer through downregulating MHC-I expression. Journal of Experimental & Clinical Cancer Research. 43(1). 54–54. 11 indexed citations
6.
Tang, Ming, Zhi‐Yi Hu, Lijun Jiang, et al.. (2024). SMYD3 promotes endometrial cancer through epigenetic regulation of LIG4/XRCC4/XLF complex in non-homologous end joining repair. Oncogenesis. 13(1). 3–3. 5 indexed citations
7.
Yuan, Lei, et al.. (2023). Association between domain-specific sedentary behaviour and endometrial cancer: a systematic review and meta-analysis. BMJ Open. 13(6). e069042–e069042. 6 indexed citations
8.
Ye, Shiqiao, Cankun Wang, Zhaohui Xu, et al.. (2022). Impaired Human Cardiac Cell Development due to NOTCH1 Deficiency. Circulation Research. 132(2). 187–204. 31 indexed citations
9.
Wang, Mengfei, Yan Qin, Yunfeng Song, et al.. (2022). Loss-of-function mutations of SOX17 lead to YAP/TEAD activation-dependent malignant transformation in endometrial cancer. Oncogene. 42(4). 322–334. 3 indexed citations
10.
Lu, Wen, Xiaoyue Chen, Zhen Li, et al.. (2022). A Model to Identify Candidates for Lymph Node Dissection Among Patients With High-Risk Endometrial Endometrioid Carcinoma According to Mayo Criteria. Frontiers in Oncology. 12. 895834–895834. 3 indexed citations
11.
Liu, Binya, Shasha Yin, Shuangdi Li, et al.. (2020). Hypoxia induces an endometrial cancer stem-like cell phenotype via HIF-dependent demethylation of SOX2 mRNA. Oncogenesis. 9(9). 81–81. 72 indexed citations
12.
Song, Yunfeng, Mengfei Wang, Huan Tong, et al.. (2020). Plasma exosomes from endometrial cancer patients contain LGALS3BP to promote endometrial cancer progression. Oncogene. 40(3). 633–646. 80 indexed citations
13.
Clatot, Jérôme, Xiaoping Wan, Haiyan Liu, et al.. (2017). Voltage-gated sodium channels assemble and gate as dimers. Nature Communications. 8(1). 2077–2077. 108 indexed citations
14.
Wan, Xiaoping, et al.. (2015). Atrial SERCA2a Overexpression Has No Affect on Cardiac Alternans but Promotes Arrhythmogenic SR Ca2+ Triggers. PLoS ONE. 10(9). e0137359–e0137359. 10 indexed citations
15.
Shinlapawittayatorn, Krekwit, et al.. (2014). Brugada Syndrome Disease Phenotype Explained in Apparently Benign Sodium Channel Mutations. Circulation Cardiovascular Genetics. 7(2). 123–131. 38 indexed citations
16.
Liao, Yun, Wen Lu, Qi Che, et al.. (2014). SHARP1 Suppresses Angiogenesis of Endometrial Cancer by Decreasing Hypoxia-Inducible Factor-1α Level. PLoS ONE. 9(6). e99907–e99907. 29 indexed citations
17.
Cutler, Michael J., Xiaoping Wan, Kenneth R. Laurita, Roger J. Hajjar, & David Rosenbaum. (2009). Targeted SERCA2a Gene Expression Identifies Molecular Mechanism and Therapeutic Target for Arrhythmogenic Cardiac Alternans. Circulation Arrhythmia and Electrophysiology. 2(6). 686–694. 92 indexed citations
18.
Zhang, Jianmin, et al.. (2009). Is caspase inhibition a valid therapeutic strategy in cryopreservation of ovarian tissue?. Journal of Assisted Reproduction and Genetics. 26(7). 415–420. 20 indexed citations
19.
Yu, Xiaohui, Ling Liu, Bin Cai, Yinyan He, & Xiaoping Wan. (2008). Suppression of anoikis by the neurotrophic receptor TrkB in human ovarian cancer. Cancer Science. 99(3). 543–552. 98 indexed citations
20.

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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