Bei Yan
Impact in
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- Immune cells in cancer
- Psoriasis: Treatment and Pathogenesis
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
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- Extracellular vesicles in disease 2
- Fibroblast Growth Factor Research 1
- Epigenetics and DNA Methylation 1
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- Psoriasis: Treatment and Pathogenesis 3
- Immune cells in cancer 3
- Co-authors
- Cong Peng (11 shared papers)Wu Zhu (6 shared papers)Panpan Liu (6 shared papers)Chao Chen (2 shared papers)Xiang Chen (1 shared paper)Xiang Chen (10 shared papers)Nian Liu (5 shared papers)Jianglin Zhang (4 shared papers)
- Journals
- Cancer Cell International (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Research (1 paper)Pharmacological Research (1 paper)Journal of the European Academy of Dermatology and Venereology (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Bei Yan
13 papers receiving 694 citations
Bei Yan's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 164
- Cancer Research 111
- Molecular Biology 330
- Dermatology 35
- Biochemistry 27
Countries citing papers authored by Bei Yan
This map shows the geographic impact of Bei Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Yan more than expected).
Fields of papers citing papers by Bei Yan
This network shows the impact of papers produced by Bei Yan. 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 Yan. The network helps show where Bei Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Yan, 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 | The mechanisms of lysophosphatidylcholine in the development of diseases Hit paper breakdown → | 2020 | 384 |
| 2 | 2021 | 94 | |
| 3 | 2020 | 49 | |
| 4 | 2021 | 39 | |
| 5 | 2023 | 29 | |
| 6 | 2020 | 28 | |
| 7 | 2023 | 27 | |
| 8 | 2023 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 2 | |
| 12 | 2018 | 1 | |
| 13 | 2022 | 1 |
About Bei Yan
Bei Yan is a scholar working on Molecular Biology, Immunology, Oncology, Dermatology and Cancer Research, having authored 13 papers that have together received 697 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers), Dermatology and Skin Diseases (2 papers), Extracellular vesicles in disease (2 papers), Vitamin C and Antioxidants Research (1 paper), Fibroblast Growth Factor Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (164 citations), Cancer Research (111 citations), Molecular Biology (330 citations), Dermatology (35 citations) and Biochemistry (27 citations). Bei Yan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Cong Peng, Wu Zhu, Panpan Liu, Chao Chen, Xiang Chen, Xiang Chen, Nian Liu, Jianglin Zhang, Yeye Guo and Xu Zhang. Their work appears in journals such as Cancer Cell International, Journal of Cellular and Molecular Medicine, Research, Pharmacological Research and Journal of the European Academy of Dermatology and Venereology.
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.