Fei Lin
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Mitochondrial Function and Pathology 5
- Circular RNAs in diseases 4
- Medicinal Plants and Bioactive Compounds 4
- Co-authors
- Guoan Zhao (18 shared papers)Siyu Sun (5 shared papers)Jie Wang (6 shared papers)Lili Guo (2 shared papers)Dongxu Li (2 shared papers)Rashmi D. Sahay (1 shared paper)Francis J. Real (1 shared paper)Amy Guiot (1 shared paper)
- Journals
- Evidence-based Complementary and Alternative Medicine (7 papers)Frontiers in Pharmacology (3 papers)Journal of Pharmacy and Pharmacology (2 papers)FEBS Journal (1 paper)Academic Radiology (1 paper)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Fei Lin
39 papers receiving 373 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 81
- Leadership and Management 4
- Molecular Biology 196
- Complementary and alternative medicine 23
- Human-Computer Interaction 13
Countries citing papers authored by Fei Lin
This map shows the geographic impact of Fei 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 Fei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Lin more than expected).
Fields of papers citing papers by Fei Lin
This network shows the impact of papers produced by Fei 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 Fei Lin. The network helps show where Fei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2020 | 45 | |
| 3 | 2019 | 43 | |
| 4 | 2015 | 27 | |
| 5 | 2020 | 20 | |
| 6 | 2008 | 20 | |
| 7 | 2024 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2020 | 4 |
About Fei Lin
Fei Lin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine, having authored 45 papers that have together received 376 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Mitochondrial Function and Pathology (5 papers), Circular RNAs in diseases (4 papers), Medicinal Plants and Bioactive Compounds (4 papers), MicroRNA in disease regulation (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers) and Traditional Chinese Medicine Studies (3 papers). The work is most often cited by research in Cancer Research (81 citations), Leadership and Management (4 citations), Molecular Biology (196 citations), Complementary and alternative medicine (23 citations) and Human-Computer Interaction (13 citations). Fei Lin has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Guoan Zhao, Siyu Sun, Jie Wang, Lili Guo, Dongxu Li, Rashmi D. Sahay, Francis J. Real, Amy Guiot, Xuefang Li and Ken Tegtmeyer. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Frontiers in Pharmacology, Journal of Pharmacy and Pharmacology, FEBS Journal and Academic Radiology.
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.