Wei Ye
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
- Molecular Biology top 5%
- RNA modifications and cancer
Papers in
-
- RNA modifications and cancer 10
- RNA and protein synthesis mechanisms 8
-
- Viral Infections and Vectors 30
- Viral Infections and Outbreaks Research 18
- Co-authors
- Fanglin Zhang (37 shared papers)Yingfeng Lei (32 shared papers)Linfeng Cheng (24 shared papers)Zhikai Xu (15 shared papers)Xingzhong Hu (2 shared papers)Guiqing He (2 shared papers)Lianpeng Wu (2 shared papers)Hongwei Ma (16 shared papers)
- Journals
- PLoS ONE (6 papers)Frontiers in Cellular and Infection Microbiology (4 papers)Journal of Virology (3 papers)Protein Expression and Purification (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei Ye
130 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 150
- Infectious Diseases 599
- Molecular Biology 1.2k
- Cancer Research 248
- Immunology 276
- Virology 38
Countries citing papers authored by Wei Ye
This map shows the geographic impact of Wei 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 Wei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ye more than expected).
Fields of papers citing papers by Wei Ye
This network shows the impact of papers produced by Wei 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 Wei Ye. The network helps show where Wei Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 159 | |
| 2 | 2012 | 127 | |
| 3 | 2020 | 124 | |
| 4 | 2013 | 112 | |
| 5 | 2015 | 96 | |
| 6 | 2010 | 94 | |
| 7 | 2017 | 88 | |
| 8 | 2017 | 66 | |
| 9 | 2020 | 66 | |
| 10 | 2014 | 61 | |
| 11 | 2019 | 60 | |
| 12 | 2019 | 57 | |
| 13 | 2011 | 53 | |
| 14 | 2020 | 50 | |
| 15 | 2016 | 45 | |
| 16 | 2014 | 45 | |
| 17 | 2010 | 44 | |
| 18 | 2012 | 42 | |
| 19 | 2017 | 42 | |
| 20 | 2015 | 38 |
About Wei Ye
Wei Ye is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 134 papers that have together received 2.6k indexed citations. Recurring topics across this work include Viral Infections and Vectors (30 papers), Viral Infections and Outbreaks Research (18 papers), Mosquito-borne diseases and control (13 papers), RNA modifications and cancer (10 papers), Vector-Borne Animal Diseases (8 papers), RNA and protein synthesis mechanisms (8 papers), Fire effects on ecosystems (6 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Infectious Diseases (599 citations), Molecular Biology (1.2k citations), Cancer Research (248 citations), Immunology (276 citations) and Virology (38 citations). Wei Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fanglin Zhang, Yingfeng Lei, Linfeng Cheng, Zhikai Xu, Xingzhong Hu, Guiqing He, Lianpeng Wu, Hongwei Ma, Haifeng Chen and Dong Chen. Their work appears in journals such as PLoS ONE, Frontiers in Cellular and Infection Microbiology, Journal of Virology, Protein Expression and Purification and Biochemical and Biophysical Research Communications.
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.