Xiaoke Wu

3.1k total citations
78 papers, 2.0k citations indexed

About

Xiaoke Wu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Xiaoke Wu has authored 78 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Reproductive Medicine, 27 papers in Public Health, Environmental and Occupational Health and 14 papers in Molecular Biology. Recurrent topics in Xiaoke Wu's work include Ovarian function and disorders (51 papers), Reproductive Biology and Fertility (27 papers) and Reproductive System and Pregnancy (8 papers). Xiaoke Wu is often cited by papers focused on Ovarian function and disorders (51 papers), Reproductive Biology and Fertility (27 papers) and Reproductive System and Pregnancy (8 papers). Xiaoke Wu collaborates with scholars based in China, Sweden and Hong Kong. Xiaoke Wu's co-authors include Elisabet Stener‐Victorin, Yuehui Zhang, Lihui Hou, Min Hu, Ernest Hung Yu Ng, Ruijin Shao, Richard S. Legro, Håkan Billig, Mats Brännström and Nazia Raja‐Khan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaoke Wu

76 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoke Wu China 27 1.2k 717 360 281 246 78 2.0k
Robert Spaczyński Poland 23 1.3k 1.0× 870 1.2× 249 0.7× 171 0.6× 411 1.7× 69 1.8k
Leszek Pawełczyk Poland 26 1.8k 1.4× 1.2k 1.7× 629 1.7× 219 0.8× 427 1.7× 130 2.7k
Jiexue Pan China 19 531 0.4× 340 0.5× 210 0.6× 106 0.4× 171 0.7× 48 1.1k
Anna Maria Fulghesu Italy 29 1.8k 1.5× 1.2k 1.7× 202 0.6× 101 0.4× 585 2.4× 100 2.2k
Alicia Beatriz Motta Argentina 24 979 0.8× 677 0.9× 233 0.6× 302 1.1× 287 1.2× 98 1.7k
Laura M. Mongioì Italy 27 927 0.8× 498 0.7× 450 1.3× 69 0.2× 465 1.9× 81 2.0k
Л. В. Сутурина Russia 15 1.2k 0.9× 756 1.1× 173 0.5× 105 0.4× 234 1.0× 77 1.5k
David A. Ehrmann United States 13 3.1k 2.5× 2.0k 2.8× 570 1.6× 173 0.6× 1.0k 4.3× 15 3.9k
Ana D. Martins Portugal 25 924 0.7× 411 0.6× 425 1.2× 79 0.3× 399 1.6× 60 1.8k
Judi Minium United States 25 869 0.7× 726 1.0× 349 1.0× 381 1.4× 240 1.0× 44 3.3k

Countries citing papers authored by Xiaoke Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoke Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoke Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoke Wu. A scholar is included among the top collaborators of Xiaoke Wu 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 Xiaoke Wu. Xiaoke Wu 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.
Cai, Wang-Yu, Xi Luo, Wei Wu, et al.. (2022). Metabolic differences in women with premature ovarian insufficiency: a systematic review and meta-analysis. Journal of Ovarian Research. 15(1). 109–109. 24 indexed citations
2.
He, Hui, Shike Zhang, Yu Wang, et al.. (2022). The Apolipoprotein B/A1 Ratio is Associated With Metabolic Syndrome Components, Insulin Resistance, Androgen Hormones, and Liver Enzymes in Women With Polycystic Ovary Syndrome. Frontiers in Endocrinology. 12. 773781–773781. 20 indexed citations
3.
Hu, Min, Yuehui Zhang, Xu Wang, et al.. (2021). Suppression of uterine and placental ferroptosis by N-acetylcysteine in a rat model of polycystic ovary syndrome. Molecular Human Reproduction. 27(12). 50 indexed citations
4.
Luo, Xi, Wang-Yu Cai, Hongli Ma, et al.. (2021). Associations of Serum Magnesium With Insulin Resistance and Testosterone in Women With Polycystic Ovary Syndrome. Frontiers in Endocrinology. 12. 683040–683040. 11 indexed citations
5.
Wang, Rong, Qiuhua Sun, Fang Wang, et al.. (2019). Efficacy and Safety of Chinese Herbal Medicine on Ovarian Cancer After Reduction Surgery and Adjuvant Chemotherapy: A Systematic Review and Meta-Analysis. Frontiers in Oncology. 9. 730–730. 17 indexed citations
6.
Hu, Min, Yuehui Zhang, Jiao Zhang, et al.. (2018). Uterine progesterone signaling is a target for metformin therapy in PCOS-like rats. Journal of Endocrinology. 237(2). 123–137. 34 indexed citations
7.
Li, Meifang, Yuehui Zhang, Xinhua Wang, et al.. (2017). Cryptotanshinone Regulates Androgen Synthesis through the ERK/c‐Fos/CYP17 Pathway in Porcine Granulosa Cells. Evidence-based Complementary and Alternative Medicine. 2017(1). 11 indexed citations
8.
Zhang, Yuehui, Min Hu, Xiaoyan Sun, et al.. (2017). Metformin Ameliorates Uterine Defects in a Rat Model of Polycystic Ovary Syndrome. EBioMedicine. 18. 157–170. 65 indexed citations
9.
10.
Zhang, Yuehui, Xiaoyan Sun, Min Hu, et al.. (2016). Molecular characterization of insulin resistance and glycolytic metabolism in the rat uterus. Scientific Reports. 6(1). 30679–30679. 49 indexed citations
11.
12.
Chen, Nini, Mei Han, Hong Yang, et al.. (2014). Chinese Herbal Medicine Guizhi Fuling Formula for Treatment of Uterine Fibroids: A Systematic Review of Randomized Clinical Trials. The Journal of Alternative and Complementary Medicine. 20(5). A113–A113. 2 indexed citations
13.
Zhang, Yuehui, et al.. (2014). The Effect of Complementary and Alternative Medicine on Subfertile Women with In Vitro Fertilization. Evidence-based Complementary and Alternative Medicine. 2014(1). 419425–419425. 10 indexed citations
14.
15.
Benrick, Anna, Manuel Maliqueo, Julia Johansson, et al.. (2014). Enhanced insulin sensitivity and acute regulation of metabolic genes and signaling pathways after a single electrical or manual acupuncture session in female insulin-resistant rats. Acta Diabetologica. 51(6). 963–972. 22 indexed citations
16.
Pauli, Jaimey M., Nazia Raja‐Khan, Xiaoke Wu, & Richard S. Legro. (2011). Current perspectives of insulin resistance and polycystic ovary syndrome. Diabetic Medicine. 28(12). 1445–1454. 42 indexed citations
17.
Stener‐Victorin, Elisabet & Xiaoke Wu. (2010). Effects and mechanisms of acupuncture in the reproductive system. Autonomic Neuroscience. 157(1-2). 46–51. 36 indexed citations
18.
Wang, Jing, et al.. (2009). Induction of insulin resistance by phosphatidylinositol-3-kinase inhibitor in porcine granulosa cells. Fertility and Sterility. 92(6). 2119–2121. 9 indexed citations
19.
Jin, Jiali, Jing Sun, Huijuan Ge, et al.. (2009). Association between CYP19 gene SNP rs2414096 Polymorphism and polycystic ovary syndrome in Chinese women. BMC Medical Genetics. 10(1). 139–139. 50 indexed citations
20.
Wang, Yong, et al.. (2008). Insulin Resistance Directly Contributes to Androgenic Potential Within Ovarian Theca Cells. Fertility and Sterility. 91(5). 1990–1997. 40 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Robert Spaczyński Breakdown of academic impact, for papers by Leszek Pawełczyk Breakdown of academic impact, for papers by Jiexue Pan Breakdown of academic impact, for papers by Anna Maria Fulghesu Breakdown of academic impact, for papers by Alicia Beatriz Motta Breakdown of academic impact, for papers by Laura M. Mongioì Breakdown of academic impact, for papers by Л. В. Сутурина Breakdown of academic impact, for papers by David A. Ehrmann Breakdown of academic impact, for papers by Ana D. Martins Breakdown of academic impact, for papers by Judi Minium
Rankless by CCL
2026