Jing Ye
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Infectious Diseases top 2%
- Viral Infections and Vectors
Papers in
-
- Circular RNAs in diseases 18
- RNA modifications and cancer 10
-
- Mosquito-borne diseases and control 51
- Co-authors
- Shengbo Cao (67 shared papers)Huanchun Chen (35 shared papers)Bibo Zhu (18 shared papers)Usama Ashraf (20 shared papers)Yunfeng Song (14 shared papers)Zheng Chen (15 shared papers)Hao Lin (1 shared paper)Kuo‐Chen Chou (1 shared paper)
- Journals
- Journal of Virology (5 papers)Viruses (4 papers)Virology Journal (4 papers)PLoS ONE (4 papers)Frontiers in Immunology (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jing Ye
186 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 845
- Infectious Diseases 923
- Immunology 860
- Public Health, Environmental and Occupational Health 1.0k
- Neurology 253
Countries citing papers authored by Jing Ye
This map shows the geographic impact of Jing 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 Jing Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ye more than expected).
Fields of papers citing papers by Jing Ye
This network shows the impact of papers produced by Jing 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 Jing Ye. The network helps show where Jing Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 263 | |
| 2 | 2008 | 137 | |
| 3 | 2015 | 119 | |
| 4 | 2012 | 103 | |
| 5 | 2019 | 101 | |
| 6 | 2017 | 99 | |
| 7 | 2015 | 91 | |
| 8 | 2017 | 87 | |
| 9 | 2022 | 84 | |
| 10 | 2021 | 84 | |
| 11 | 2018 | 82 | |
| 12 | 2014 | 79 | |
| 13 | 2016 | 78 | |
| 14 | 2013 | 72 | |
| 15 | 2019 | 68 | |
| 16 | 2020 | 61 | |
| 17 | 2017 | 60 | |
| 18 | 2020 | 60 | |
| 19 | 2018 | 59 | |
| 20 | 2020 | 58 |
About Jing Ye
Jing Ye is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Cancer Research and Infectious Diseases, having authored 192 papers that have together received 4.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (51 papers), Viral Infections and Vectors (32 papers), Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (24 papers), interferon and immune responses (20 papers), Circular RNAs in diseases (18 papers), RNA modifications and cancer (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). The work is most often cited by research in Cancer Research (845 citations), Infectious Diseases (923 citations), Immunology (860 citations), Public Health, Environmental and Occupational Health (1.0k citations) and Neurology (253 citations). Jing Ye has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shengbo Cao, Huanchun Chen, Bibo Zhu, Usama Ashraf, Yunfeng Song, Zheng Chen, Hao Lin, Kuo‐Chen Chou, Hua Tang and Wei Chen. Their work appears in journals such as Journal of Virology, Viruses, Virology Journal, PLoS ONE and Frontiers in Immunology.
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.