Fei Lin
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 10%
Papers in
-
- Epigenetics and DNA Methylation 5
- Inflammasome and immune disorders 4
- FOXO transcription factor regulation 3
-
- Reproductive Biology and Fertility 7
- Co-authors
- Ming Shen (3 shared papers)Honglin Liu (8 shared papers)Jiaqing Zhang (1 shared paper)Weikang Chen (1 shared paper)Yiting Tang (1 shared paper)Linghui Pan (8 shared papers)Qing‐Yuan Sun (4 shared papers)Heide Schatten (4 shared papers)
- Journals
- Redox Biology (2 papers)Cell Cycle (2 papers)Regulatory Toxicology and Pharmacology (2 papers)Cell Death and Disease (2 papers)Aquaculture Environment Interactions (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fei Lin
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 170
- Reproductive Medicine 83
- Immunology 180
- Molecular Biology 566
- Public Health, Environmental and Occupational Health 205
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 154 | |
| 2 | 2013 | 133 | |
| 3 | 2012 | 126 | |
| 4 | 2020 | 61 | |
| 5 | 2021 | 55 | |
| 6 | 2017 | 52 | |
| 7 | 2014 | 41 | |
| 8 | 2023 | 36 | |
| 9 | 2015 | 34 | |
| 10 | 2017 | 33 | |
| 11 | 2020 | 31 | |
| 12 | 2016 | 31 | |
| 13 | 2013 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2012 | 24 | |
| 16 | 2024 | 24 | |
| 17 | 2018 | 23 | |
| 18 | 2015 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2014 | 20 |
About Fei Lin
Fei Lin is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Plant Science and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Epigenetics and DNA Methylation (5 papers), Inflammasome and immune disorders (4 papers), Ecology and Conservation Studies (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Plant Ecology and Soil Science (3 papers), Autophagy in Disease and Therapy (3 papers) and FOXO transcription factor regulation (3 papers). The work is most often cited by research in Cancer Research (170 citations), Reproductive Medicine (83 citations), Immunology (180 citations), Molecular Biology (566 citations) and Public Health, Environmental and Occupational Health (205 citations). Fei Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming Shen, Honglin Liu, Jiaqing Zhang, Weikang Chen, Yiting Tang, Linghui Pan, Qing‐Yuan Sun, Heide Schatten, Lin Huang and Qiu‐Xia Liang. Their work appears in journals such as Redox Biology, Cell Cycle, Regulatory Toxicology and Pharmacology, Cell Death and Disease and Aquaculture Environment Interactions.
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.