Bei Lin
Impact in
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Glycosylation and Glycoproteins Research 19
- RNA modifications and cancer 11
- S100 Proteins and Annexins 9
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- Cancer-related molecular mechanisms research 14
- Co-authors
- Juanjuan Liu (76 shared papers)Liancheng Zhu (45 shared papers)Dawo Liu (29 shared papers)Yingying Hao (30 shared papers)Zhenhua Hu (25 shared papers)Rui Gou (24 shared papers)Mingzi Tan (21 shared papers)Qi‐Jun Wu (7 shared papers)
In The Last Decade
Bei Lin
147 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 114
- Reproductive Medicine 361
- Cancer Research 545
- Immunology 508
- Molecular Biology 1.4k
- Immunology and Allergy 114
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-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.
All Works
Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 117 | |
| 2 | 2012 | 111 | |
| 3 | 2015 | 64 | |
| 4 | 2019 | 59 | |
| 5 | 2014 | 58 | |
| 6 | 2010 | 58 | |
| 7 | 2014 | 57 | |
| 8 | 2009 | 49 | |
| 9 | 2005 | 49 | |
| 10 | 2014 | 47 | |
| 11 | 2010 | 46 | |
| 12 | 2020 | 46 | |
| 13 | 2021 | 44 | |
| 14 | 2015 | 44 | |
| 15 | 2010 | 43 | |
| 16 | 2015 | 43 | |
| 17 | 2019 | 39 | |
| 18 | Membranous expressions of Lewis y and CAM-DR-related markers are independent factors of chemotherapy resistance and poor prognosis in epithelial ovarian cancer. | 2015 | 37 |
| 19 | 2011 | 37 | |
| 20 | 2021 | 34 |
About Bei Lin
Bei Lin is a scholar working on Molecular Biology, Cancer Research, Oncology, Reproductive Medicine and Immunology, having authored 153 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (19 papers), Ovarian cancer diagnosis and treatment (14 papers), Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (11 papers), S100 Proteins and Annexins (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cell Adhesion Molecules Research (8 papers) and Autophagy in Disease and Therapy (7 papers). The work is most often cited by research in Reproductive Medicine (361 citations), Cancer Research (545 citations), Immunology (508 citations), Molecular Biology (1.4k citations) and Immunology and Allergy (114 citations). Bei Lin has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Juanjuan Liu, Liancheng Zhu, Dawo Liu, Yingying Hao, Zhenhua Hu, Rui Gou, Mingzi Tan, Qi‐Jun Wu, Masao Iwamori and Mingjun Zheng. Their work appears in journals such as International Journal of Molecular Sciences, Oncology Reports, Cancer Cell International, Journal of Cancer and BMC 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.