Wanrun Lin

1.4k citations
37 papers · 1.1k · h-index 15

Impact in

Papers in

Wanrun Lin

33 papers receiving 1.0k citations

Peers

Wanrun Lin
Comparison fields: 5 of 76
  • Cancer Research 416
  • Obstetrics and Gynecology 160
  • Reproductive Medicine 92
  • Molecular Biology 499
  • Oncology 133
Replace F. Alameda with:
F. Alameda Spain
Aytekin Akyol Türkiye
Mai Ohba Japan
Xin Yin China
Nicholas J. Sullivan United States
Vincenzo Gigantino Italy
Armina A. Kazi United States
Wenqiang Quan China
Wanrun Lin relative to F. Alameda Spain F. Alameda's profile →
Citations per field
00.5×10×
F. Alameda · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016208
2 2016183
3 2002124
4
Loss of heterozygosity and mutational analysis of the PTEN/MMAC1 gene in synchronous endometrial and ovarian carcinomas.
199887
5 202079
6 201463
7 200448
8 201838
9 201431
10 201430
11 200028
12 202118
13 201818
14
Allelic loss and microsatellite alterations of chromosome 3p14.2 are more frequent in recurrent cervical dysplasias.
200018
15 199714
16 20226
17 20166
18 20255
19 20195
20 19995

About Wanrun Lin

Wanrun Lin is a scholar working on Molecular Biology, Obstetrics and Gynecology, Oncology, Cancer Research and Reproductive Medicine, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (8 papers), Ovarian cancer diagnosis and treatment (4 papers), Genetic factors in colorectal cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), Endometriosis Research and Treatment (2 papers), Cervical Cancer and HPV Research (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (416 citations), Obstetrics and Gynecology (160 citations), Reproductive Medicine (92 citations), Molecular Biology (499 citations) and Oncology (133 citations). Wanrun Lin has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Lei Dong, Robert L. Coleman, Xiang Du, Peng Qi, Dan Huang, Weiqi Sheng, Cong Tan, Mi‐die Xu, Xijuan Cui and Tao Shan. Their work appears in journals such as Gynecologic Oncology, Journal of Cancer, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Oncology Reports and Cell Death and Disease.

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