Fei Ye
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
Fei Ye
99 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Infectious Diseases 2.0k
- Neurology 676
- Computational Theory and Mathematics 516
- Pharmacology 244
- Oncology 635
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 40 | |
| 7 | Scutellaria baicalensis extract and baicalein inhibit replication of SARS-CoV-2 and its 3C-like protease in vitro Hit paper breakdown → | 2021 | 228 |
| 8 | 2021 | 22 | |
| 9 | 2021 | 13 | |
| 10 | Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main protease Hit paper breakdown → | 2020 | 392 |
| 11 | 2020 | 14 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 215 | |
| 14 | 2013 | 35 | |
| 15 | 2012 | 6 | |
| 16 | 2012 | 33 | |
| 17 | 2010 | 23 | |
| 18 | 2009 | 22 | |
| 19 | 2006 | 16 | |
| 20 | Screening for TNF-#alpha# related peptides by phage display system | 2002 | 2 |
About Fei Ye
Fei Ye is a scholar working on Genetics, Oncology, Developmental Neuroscience, Infectious Diseases and Molecular Biology, having authored 104 papers that have together received 4.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Cancer Cells and Metastasis (8 papers), Glycosylation and Glycoproteins Research (7 papers), Cancer-related Molecular Pathways (6 papers), COVID-19 Clinical Research Studies (6 papers), HER2/EGFR in Cancer Research (6 papers) and Optical Network Technologies (6 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Neurology (676 citations), Computational Theory and Mathematics (516 citations), Pharmacology (244 citations) and Oncology (635 citations). Fei Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenjie Tan, Baoying Huang, Roujian Lu, Peihua Niu, Xueting Yao, Erdan Dong, Dongyang Liu, Li Zhao, Haiyan Li and Cheng Cui. Their work appears in journals such as Cancer Letters, Nature Communications, Frontiers in Pharmacology, Scientific Reports and Expert Opinion on Therapeutic Targets.
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.