Wanrun Lin

1.1k total citations
33 papers, 802 citations indexed

About

Wanrun Lin is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Wanrun Lin has authored 33 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Wanrun Lin's work include Cervical Cancer and HPV Research (8 papers), Genetic factors in colorectal cancer (7 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Wanrun Lin is often cited by papers focused on Cervical Cancer and HPV Research (8 papers), Genetic factors in colorectal cancer (7 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Wanrun Lin collaborates with scholars based in United States, China and France. Wanrun Lin's co-authors include Xijuan Cui, Robert L. Coleman, Tao Shan, Raheela Ashfaq, Yiming Li, Tao Wu, William Erdman, Thomas W. Burke, Ebrahim S. Delpassand and Michael T. Deavers and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and The Lancet Oncology.

In The Last Decade

Wanrun Lin

30 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanrun Lin United States 14 388 296 173 162 156 33 802
Wenxiao Jiang China 16 463 1.2× 281 0.9× 61 0.4× 119 0.7× 173 1.1× 29 819
Seiro Satohisa Japan 16 354 0.9× 255 0.9× 36 0.2× 140 0.9× 92 0.6× 27 684
Kunal Shah United Kingdom 12 213 0.5× 119 0.4× 90 0.5× 35 0.2× 92 0.6× 19 535
J A Truglia United States 13 406 1.0× 55 0.2× 98 0.6× 55 0.3× 93 0.6× 16 814
Nikola Zmarzły Poland 13 214 0.6× 142 0.5× 60 0.3× 67 0.4× 57 0.4× 57 434
Rehana Qureshi United States 14 453 1.2× 321 1.1× 59 0.3× 17 0.1× 164 1.1× 22 715
Armina A. Kazi United States 13 394 1.0× 192 0.6× 16 0.1× 47 0.3× 205 1.3× 22 708
Yibing Fu China 13 372 1.0× 274 0.9× 23 0.1× 54 0.3× 76 0.5× 20 598

Countries citing papers authored by Wanrun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wanrun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanrun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Wanrun Lin. A scholar is included among the top collaborators of Wanrun Lin 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 Wanrun Lin. Wanrun Lin 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.
Zhu, Danqing, et al.. (2025). Clinicopathological and Molecular Characterization of Non-Endometrioid Endometrial Carcinoma. Journal of Cancer. 16(7). 2312–2320.
2.
Qin, Lei, Wanrun Lin, Suming Huang, Wenxin Zheng, & Feng Zhou. (2025). High-grade endometrioid carcinomas with pilomatrix-like features lacking CTNNB1 Mutations: Clinicopathologic characteristics and novel molecular events. Human Pathology. 164. 105928–105928. 1 indexed citations
3.
Wang, Xiao, et al.. (2025). Primary ovarian solid pseudopapillary neoplasm with CTNNB1 c.94G > T (p.D32Y) mutation: a case report. International Journal of Surgery Case Reports. 136. 111952–111952.
4.
Li, Jinming, Yue Pan, Changzheng Wang, et al.. (2025). Patterns in genomic mutations among patients with early-onset colorectal cancer: an international, multicohort, observational study. The Lancet Oncology. 26(8). 1055–1066. 2 indexed citations
5.
Liu, Qin, Tao Zhang, Wanrun Lin, et al.. (2025). GNA15 predicts poor outcomes as a novel biomarker related to M2 macrophage infiltration in ovarian cancer. Frontiers in Immunology. 16. 1512086–1512086. 2 indexed citations
6.
Zhou, Xin, et al.. (2024). Diagnostic and prognostic potential of the intra-tumoral microbiota profile in HPV-independent endocervical adenocarcinoma. Frontiers in Cellular and Infection Microbiology. 14. 1440017–1440017. 2 indexed citations
7.
Lin, Wanrun, Ruijiao Zhao, Li Li, et al.. (2024). Morules and β-catenin predict POLE mutation status in endometrial cancer: A pathway to more cost-effective diagnostic procedures. American Journal of Clinical Pathology. 162(2). 141–150. 1 indexed citations
8.
Liu, Naijia, Wanrun Lin, Yan Wang, et al.. (2024). Predicting Progestin Therapy Response With PTEN, PAX2, and β-Catenin in Patients With Endometrioid Precancer. International Journal of Gynecological Pathology. 43(5). 494–505. 1 indexed citations
9.
10.
11.
Wang, Yiying, Ruijiao Zhao, Yan Wang, et al.. (2023). Fallopian tubal histogenesis of ovarian endometriosis—A study of folate receptor-alpha expression. Frontiers in Medicine. 10. 1138690–1138690. 2 indexed citations
12.
Yang, Qingyuan, Wanrun Lin, Zhiwei Liu, et al.. (2018). RAP80 is an independent prognosis biomarker for the outcome of patients with esophageal squamous cell carcinoma. Cell Death and Disease. 9(2). 146–146. 17 indexed citations
13.
Chen, Ruichao, Wenya Liu, Hui Chen, et al.. (2018). Estrogen affects the negative feedback loop of PTENP1-miR200c to inhibit PTEN expression in the development of endometrioid endometrial carcinoma. Cell Death and Disease. 10(1). 4–4. 36 indexed citations
14.
Dong, Lei, Wanrun Lin, Peng Qi, et al.. (2016). Circulating Long RNAs in Serum Extracellular Vesicles: Their Characterization and Potential Application as Biomarkers for Diagnosis of Colorectal Cancer. Cancer Epidemiology Biomarkers & Prevention. 25(7). 1158–1166. 180 indexed citations
15.
Shan, Tao, Xijuan Cui, Wěi Li, et al.. (2014). α-Mangostin suppresses human gastric adenocarcinoma cells in vitro via blockade of Stat3 signaling pathway. Acta Pharmacologica Sinica. 35(8). 1065–1073. 30 indexed citations
16.
Shan, Tao, Xijuan Cui, Wei Li, Wanrun Lin, & Yiming Li. (2014). AQP5: A novel biomarker that predicts poor clinical outcome in colorectal cancer. Oncology Reports. 32(4). 1564–1570. 30 indexed citations
17.
Drake, Richard D., et al.. (2004). Oral dexamethasone attenuates Doxil®-induced palmar-plantar erythrodysesthesias in patients with recurrent gynecologic malignancies. Gynecologic Oncology. 94(2). 320–324. 45 indexed citations
18.
Lin, Wanrun, et al.. (2000). Molecular Papanicolaou tests in the twenty-first century: Molecular analyses with fluid-based Papanicolaou technology. American Journal of Obstetrics and Gynecology. 183(1). 39–45. 27 indexed citations
19.
O’Boyle, John D., et al.. (1999). Role of TSG101 in Uterine Cervix Cancer. Gynecologic Oncology. 75(3). 401–405. 5 indexed citations
20.
Wians, Frank H., et al.. (1997). Immunonephelometric quantification of group-specific component protein in patients with acute liver failure. Liver Transplantation and Surgery. 3(1). 28–33. 14 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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