Bei Lin
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment 28
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 20
- MicroRNA in disease regulation 9
- Immunology top 5%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 26
- RNA modifications and cancer 19
- S100 Proteins and Annexins 9
- Obstetrics and Gynecology top 5%
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- Monoclonal and Polyclonal Antibodies Research 14
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- Ferroptosis and cancer prognosis 11
Bei Lin
150 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 119
- Reproductive Medicine 485
- Cancer Research 728
- Immunology 593
- Molecular Biology 1.7k
- Obstetrics and Gynecology 179
Countries citing papers authored by Bei Lin
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 33 | |
| 7 | 2021 | 43 | |
| 8 | Overexpression of TEM8 promotes ovarian cancer progression via Rac1/Cdc42/JNK and MEK/ERK/STAT3 signaling pathways. | 2020 | 13 |
| 9 | 2020 | 22 | |
| 10 | 2020 | 46 | |
| 11 | 2018 | 4 | |
| 12 | 2016 | 7 | |
| 13 | 2015 | 32 | |
| 14 | 2014 | 14 | |
| 15 | 2013 | 23 | |
| 16 | 2012 | 109 | |
| 17 | Lewis(y) antigen stimulates the growth of ovarian cancer cells via regulation of the epidermal growth factor receptor pathway. | 2010 | 58 |
| 18 | Inhibitory effect of α-L-fucosidase on Lewis y antigen overexpressed human ovarian cancer cells in vitro. | 2010 | 1 |
| 19 | [Effect of Lewis y antigen on regulating gene expression of partial drug resistance associated proteins in human ovarian cancer cell line RMG-I-H]. | 2009 | 5 |
| 20 | 2005 | 1 |
About Bei Lin
Bei Lin is a scholar working on Reproductive Medicine, Cancer Research, Immunology and Allergy, Molecular Biology and Obstetrics and Gynecology, having authored 156 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (28 papers), Glycosylation and Glycoproteins Research (26 papers), Cancer-related molecular mechanisms research (20 papers), RNA modifications and cancer (19 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Ferroptosis and cancer prognosis (11 papers), MicroRNA in disease regulation (9 papers) and S100 Proteins and Annexins (9 papers). The work is most often cited by research in Reproductive Medicine (485 citations), Cancer Research (728 citations), Immunology (593 citations), Molecular Biology (1.7k citations) and Obstetrics and Gynecology (179 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, Zhenhua Hu, Rui Gou, Mingzi Tan, Qi‐Jun Wu, Masao Iwamori and Jian Gao. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Cell International, Oncology Reports, 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.