Bei Lin

3.6k citations
143 papers · 2.9k · h-index 28

Impact in

Papers in

Bei Lin

139 papers receiving 2.8k citations

Peers

Bei Lin
Comparison fields: 5 of 92
  • Reproductive Medicine 770
  • Cancer Research 337
  • Oncology 426
  • Obstetrics and Gynecology 168
  • Molecular Biology 953
Replace Cheng-Yang Chou with:
Cheng-Yang Chou Taiwan
Valeria Masciullo Italy
Matthias Ruebner Germany
Zhenbo Zhang China
Lorna Rodríguez-Rodríguez United States
Viqar Syed United States
Linda Van Le United States
Ewa Nowak‐Markwitz Poland
Tsunekazu Kita Japan
Sumie Kato Chile
Bei Lin relative to Cheng-Yang Chou Taiwan Cheng-Yang Chou's profile →
Citations per field
00.5×2×3×4.0×
Cheng-Yang Chou · 1×
Citations per year

Countries citing papers authored by Bei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Bei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bei 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 Bei Lin Line = papers co-authored together Bei Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013130
2 2012120
3 201571
4 201963
5 201461
6 201460
7 201059
8 200550
9 200950
10 201047
11 201046
12 202146
13 201545
14 202045
15 201944
16 201543
17 201139
18 201438
19
Membranous expressions of Lewis y and CAM-DR-related markers are independent factors of chemotherapy resistance and poor prognosis in epithelial ovarian cancer.
201537
20 201534

About Bei Lin

Bei Lin is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Molecular Biology, Cancer Research and Oncology, having authored 143 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (70 papers), Glycosylation and Glycoproteins Research (33 papers), Endometrial and Cervical Cancer Treatments (18 papers), Drug Transport and Resistance Mechanisms (4 papers), Autophagy in Disease and Therapy (4 papers), Cancer-related molecular mechanisms research (4 papers), Mechanisms of cancer metastasis (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Reproductive Medicine (770 citations), Cancer Research (337 citations), Oncology (426 citations), Obstetrics and Gynecology (168 citations) and Molecular Biology (953 citations). Bei Lin has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Juanjuan Liu, Liancheng Zhu, Yingying Hao, Dawo Liu, Rui Gou, Qi‐Jun Wu, Zhenhua Hu, Masao Iwamori, Yuexin Hu and Mingjun Zheng. Their work appears in journals such as International Journal of Molecular Sciences, Oncology Reports, Cancer Cell International, BMC Cancer and Journal of Cancer.

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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