Shan Kang

2.4k total citations
115 papers, 1.7k citations indexed

About

Shan Kang is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Shan Kang has authored 115 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Reproductive Medicine, 39 papers in Obstetrics and Gynecology and 30 papers in Molecular Biology. Recurrent topics in Shan Kang's work include Endometriosis Research and Treatment (29 papers), Endometrial and Cervical Cancer Treatments (22 papers) and Ovarian cancer diagnosis and treatment (16 papers). Shan Kang is often cited by papers focused on Endometriosis Research and Treatment (29 papers), Endometrial and Cervical Cancer Treatments (22 papers) and Ovarian cancer diagnosis and treatment (16 papers). Shan Kang collaborates with scholars based in China, United States and India. Shan Kang's co-authors include Yili Wu, Dongfeng Zhang, Yan Li, Rong‐Miao Zhou, Yan Li, Na Wang, Xiaoqian Zhang, Wei Guo, Jianhui Zhang and Yanan Duan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Shan Kang

105 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Kang China 23 480 467 440 393 313 115 1.7k
Whitfield B. Growdon United States 31 966 2.0× 545 1.2× 616 1.4× 921 2.3× 214 0.7× 139 2.7k
Stephanie Schneider Germany 19 220 0.5× 408 0.9× 378 0.9× 157 0.4× 118 0.4× 53 1.4k
Martine Berlière Belgium 22 608 1.3× 141 0.3× 502 1.1× 506 1.3× 279 0.9× 76 1.9k
Sachio Ogita Japan 24 837 1.7× 377 0.8× 191 0.4× 832 2.1× 108 0.3× 176 2.2k
Andrew J. Li United States 23 855 1.8× 237 0.5× 384 0.9× 445 1.1× 308 1.0× 42 1.5k
Tommaso Susini Italy 23 411 0.9× 205 0.4× 296 0.7× 480 1.2× 303 1.0× 79 1.4k
Hideki Tokunaga Japan 23 1.2k 2.5× 272 0.6× 263 0.6× 1.1k 2.8× 137 0.4× 115 2.0k
A. Antsaklis Greece 20 189 0.4× 623 1.3× 291 0.7× 127 0.3× 245 0.8× 46 1.7k
Eric Steiner Germany 18 130 0.3× 564 1.2× 638 1.4× 174 0.4× 346 1.1× 35 1.7k
Dorothea Fischer Germany 18 241 0.5× 275 0.6× 323 0.7× 79 0.2× 152 0.5× 71 1.2k

Countries citing papers authored by Shan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Shan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Kang. A scholar is included among the top collaborators of Shan Kang 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 Shan Kang. Shan Kang 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.
2.
Zhu, Shuai, et al.. (2025). Global, Regional, and National Epidemiology of Opioid Use Disorder Among Adolescents and Young Adults, 1990–2019. Journal of Adolescent Health. 76(5). 905–913. 3 indexed citations
3.
Tian, Yunjie, et al.. (2025). UBE2J1 is identified as a novel plasma cell-related gene involved in the prognosis of high-grade serous ovarian cancer. Journal of Translational Medicine. 23(1). 129–129. 1 indexed citations
4.
Han, Feifei, et al.. (2025). New insights into the ferroptosis and immune infiltration in endometriosis: a bioinformatics-based analysis. Frontiers in Immunology. 15. 1507083–1507083.
5.
Kang, Shan, et al.. (2024). Association between thyroid autoimmunity and antinuclear antibody prevalence among pregnant women: a cross-sectional study in Qingdao, China. Frontiers in Endocrinology. 15. 1403917–1403917. 1 indexed citations
6.
Wu, Lingying, Xiaofan Li, Mei Feng, et al.. (2024). Efficacy and safety of enlonstobart (SG001), a PD-1 inhibitor in patients with PD-L1 positive recurrent/metastatic cervical cancer: A multicenter, single-arm, open-label, phase II study.. Journal of Clinical Oncology. 42(16_suppl). 5526–5526. 4 indexed citations
7.
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9.
Shen, Yuanming, Beihua Kong, Bairong Xia, et al.. (2023). Pegylated liposomal doxorubicin and carboplatin versus paclitaxel and carboplatin as first-line treatment for Chinese patients with ovarian cancer: A multi-center, randomized, open-label trial.. Journal of Clinical Oncology. 41(16_suppl). 5556–5556. 1 indexed citations
10.
Cheng, Jianxin, et al.. (2023). Expression and clinical significance of HER2/neu, aromatase P450 and adhesion molecule CD24 in endometrial cancer. European Journal of Histochemistry. 67(3). 1 indexed citations
11.
Chen, Chi, Weili Li, Zhenyu Liu, et al.. (2022). The pathological risk score: A new deep learning‐based signature for predicting survival in cervical cancer. Cancer Medicine. 12(2). 1051–1063. 24 indexed citations
12.
Chen, Chunlin, Ziyu Fang, Qianqing Wang, et al.. (2020). Comparative study on the oncological prognosis of laparoscopy and laparotomy for stage IIA1 cervical squamous cell carcinoma. European Journal of Surgical Oncology. 47(2). 346–352. 4 indexed citations
13.
Li, Yan, et al.. (2019). Hypermethylation of mismatch repair gene hMSH2 associates with platinum-resistant disease in epithelial ovarian cancer. Clinical Epigenetics. 11(1). 153–153. 30 indexed citations
14.
Li, Yan, et al.. (2016). Aberrant Methylation of the E-Cadherin Gene Promoter Region in the Endometrium of Women With Uterine Fibroids. Reproductive Sciences. 23(8). 1096–1102. 7 indexed citations
15.
Kang, Shan, et al.. (2013). Association of the C677T Polymorphism in the MTHFR Gene with Hemorrhagic Stroke: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 17(5). 412–417. 22 indexed citations
16.
Zhang, Xiaoqian, et al.. (2013). Serum uric acid levels and incidence of impaired fasting glucose and type 2 diabetes mellitus: A meta-analysis of cohort studies. Diabetes Research and Clinical Practice. 101(1). 88–96. 74 indexed citations
17.
Kang, Shan, et al.. (2013). Association of the A1298C polymorphism in MTHFR gene with ischemic stroke. Journal of Clinical Neuroscience. 21(2). 198–202. 15 indexed citations
18.
Li, Yan, Rong‐Miao Zhou, Na Wang, et al.. (2009). Association of p73 and MDM2 polymorphisms with the risk of epithelial ovarian cancer.. Tumori. 29(9). 892–897. 3 indexed citations
19.
Liu, Qing, Yan Li, Jing Zhao, et al.. (2009). Association of polymorphisms -1154G/A and -2578C/A in the vascular endothelial growth factor gene with decreased risk of endometriosis in Chinese women. Human Reproduction. 24(10). 2660–2666. 40 indexed citations
20.
Li, Yan, Jun Liang, Shan Kang, et al.. (2007). E-cadherin gene polymorphisms and haplotype associated with the occurrence of epithelial ovarian cancer in Chinese. Gynecologic Oncology. 108(2). 409–414. 25 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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