Fei Ye
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Phagocytosis and Immune Regulation
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
Papers in
-
- Kruppel-like factors research 3
- Immunology 13
- interferon and immune responses 4
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Co-authors
- Wenjie Tan (9 shared papers)Lixin Wei (3 shared papers)Qiudong Zhao (2 shared papers)Yingying Jing (1 shared paper)Zhenghua Lu (1 shared paper)Guofeng Yu (1 shared paper)Rong Li (1 shared paper)Qingmin Fan (1 shared paper)
- Journals
- PLoS ONE (4 papers)Animals (3 papers)Emerging Microbes & Infections (3 papers)China CDC Weekly (2 papers)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Ye
62 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 111
- Immunology 615
- Infectious Diseases 434
- Oncology 476
- Hematology 151
- Virology 60
Countries citing papers authored by Fei Ye
This map shows the geographic impact of Fei Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Ye more than expected).
Fields of papers citing papers by Fei Ye
This network shows the impact of papers produced by Fei Ye. 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 Ye. The network helps show where Fei Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Ye, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 384 | |
| 2 | 2020 | 233 | |
| 3 | 2013 | 225 | |
| 4 | 2015 | 106 | |
| 5 | 2021 | 89 | |
| 6 | 2023 | 84 | |
| 7 | 2012 | 69 | |
| 8 | 2018 | 43 | |
| 9 | 2016 | 41 | |
| 10 | 2020 | 34 | |
| 11 | 2021 | 33 | |
| 12 | 2019 | 28 | |
| 13 | 2011 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2020 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2018 | 25 | |
| 18 | 2022 | 24 | |
| 19 | 2019 | 22 | |
| 20 | 2008 | 21 |
About Fei Ye
Fei Ye is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Animal Science and Zoology and Genetics, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Poxvirus research and outbreaks (5 papers), interferon and immune responses (4 papers), Viral gastroenteritis research and epidemiology (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Viral Infections and Immunology Research (4 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Immunology (615 citations), Infectious Diseases (434 citations), Oncology (476 citations), Hematology (151 citations) and Virology (60 citations). Fei Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenjie Tan, Lixin Wei, Qiudong Zhao, Yingying Jing, Zhenghua Lu, Guofeng Yu, Rong Li, Qingmin Fan, Lu Gao and Yang Yang. Their work appears in journals such as PLoS ONE, Animals, Emerging Microbes & Infections, China CDC Weekly and Signal Transduction and Targeted Therapy.
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.