Fei Yin
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Mitochondrial Function and Pathology 12
- Genetics 42
- Genetics and Neurodevelopmental Disorders 37
- Genomics and Rare Diseases 15
- Co-authors
- Jing Peng (96 shared papers)Fang He (49 shared papers)Lifen Yang (46 shared papers)Huimin Kong (13 shared papers)Ahmed Omran (16 shared papers)Xiaolu Deng (27 shared papers)Na Gan (11 shared papers)Ciliu Zhang (27 shared papers)
- Journals
- Frontiers in Neurology (6 papers)Frontiers in Pediatrics (5 papers)Frontiers in Molecular Neuroscience (4 papers)Molecular Neurobiology (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Fei Yin
134 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 127
- Neurology 275
- Cancer Research 472
- Psychiatry and Mental health 435
- Cellular and Molecular Neuroscience 451
- Genetics 577
Countries citing papers authored by Fei Yin
This map shows the geographic impact of Fei Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Yin more than expected).
Fields of papers citing papers by Fei Yin
This network shows the impact of papers produced by Fei Yin. 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 Yin. The network helps show where Fei Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Yin, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 197 | |
| 2 | 2013 | 126 | |
| 3 | 2012 | 121 | |
| 4 | 2013 | 100 | |
| 5 | 2012 | 94 | |
| 6 | 2010 | 93 | |
| 7 | 2015 | 66 | |
| 8 | 2015 | 64 | |
| 9 | 2011 | 60 | |
| 10 | 2018 | 60 | |
| 11 | 2015 | 47 | |
| 12 | 2021 | 45 | |
| 13 | 2005 | 45 | |
| 14 | 2018 | 45 | |
| 15 | 2011 | 45 | |
| 16 | 2019 | 45 | |
| 17 | 2019 | 44 | |
| 18 | 2017 | 40 | |
| 19 | 2018 | 35 | |
| 20 | 2020 | 34 |
About Fei Yin
Fei Yin is a scholar working on Molecular Biology, Genetics, Psychiatry and Mental health, Cellular and Molecular Neuroscience and Cancer Research, having authored 141 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (37 papers), Epilepsy research and treatment (28 papers), Neuroscience and Neuropharmacology Research (20 papers), Genomics and Rare Diseases (15 papers), MicroRNA in disease regulation (13 papers), Mitochondrial Function and Pathology (12 papers), Metabolism and Genetic Disorders (11 papers) and Barrier Structure and Function Studies (9 papers). The work is most often cited by research in Neurology (275 citations), Cancer Research (472 citations), Psychiatry and Mental health (435 citations), Cellular and Molecular Neuroscience (451 citations) and Genetics (577 citations). Fei Yin has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Jing Peng, Fang He, Lifen Yang, Huimin Kong, Ahmed Omran, Xiaolu Deng, Na Gan, Ciliu Zhang, Nan Pang and Miriam Kessi. Their work appears in journals such as Frontiers in Neurology, Frontiers in Pediatrics, Frontiers in Molecular Neuroscience, Molecular Neurobiology and Scientific Reports.
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.