Wanrun Lin

1.1k citations
33 papers · 802 indexed · h-index 14

Impact in

Papers in

Wanrun Lin

30 papers receiving 791 citations

Peers

Wanrun Lin
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 162
  • Cancer Research 296
  • Reproductive Medicine 106
  • Oncology 156
  • Molecular Biology 388
Replace Kunal Shah with:
Kunal Shah United Kingdom
Wenxiao Jiang China
Nikola Zmarzły Poland
J A Truglia United States
Masaaki Takai Japan
Gwennan André‐Grégoire France
Bo Pang China
Takashi Tasaki Japan
Armina A. Kazi United States
Wanrun Lin relative to Kunal Shah United Kingdom Kunal Shah's profile →
Citations per field
00.5×4.6×
Kunal Shah · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Wanrun Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wanrun Lin Line = papers co-authored together Wanrun Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016180
2 2002116
3
Loss of heterozygosity and mutational analysis of the PTEN/MMAC1 gene in synchronous endometrial and ovarian carcinomas.
199885
4 202077
5 201463
6 200445
7 201836
8 201430
9 201430
10 200027
11 201817
12
Allelic loss and microsatellite alterations of chromosome 3p14.2 are more frequent in recurrent cervical dysplasias.
200017
13 202116
14 199714
15 20166
16 19995
17 20225
18 20195
19 20215
20 20174

About Wanrun Lin

Wanrun Lin is a scholar working on Obstetrics and Gynecology, Oncology, Reproductive Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 33 papers that have together received 802 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), Genetic factors in colorectal cancer (7 papers), Endometrial and Cervical Cancer Treatments (6 papers), Cancer-related molecular mechanisms research (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Circular RNAs in diseases (3 papers), Cancer-related Molecular Pathways (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Obstetrics and Gynecology (162 citations), Cancer Research (296 citations), Reproductive Medicine (106 citations), Oncology (156 citations) and Molecular Biology (388 citations). Wanrun Lin has collaborated with scholars based in United States, China and France. Frequent co-authors include Robert L. Coleman, Xijuan Cui, Tao Shan, Raheela Ashfaq, Yiming Li, Tao Wu, William Erdman, Thomas W. Burke, Charles Levenback and Michael T. Deavers. Their work appears in journals such as Oncology Reports, Cell Death and Disease, Gynecologic Oncology, Aging and Histopathology.

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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