Zhenyu Ye
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Epidemiology top 10%
- Influenza Virus Research Studies
- Virology and Viral Diseases
- Herpesvirus Infections and Treatments
Papers in
-
- RNA modifications and cancer 4
- Circular RNAs in diseases 2
-
- Virology and Viral Diseases 2
- Autophagy in Disease and Therapy 2
- Co-authors
- R R Wagner (3 shared papers)Wei Sun (2 shared papers)William W. Newcomb (1 shared paper)Jay C. Brown (1 shared paper)D R Thomsen (1 shared paper)Fred L. Homa (1 shared paper)Yongyou Wu (2 shared papers)Yecheng Li (4 shared papers)
- Journals
- Journal of Virology (4 papers)Genes and Immunity (1 paper)Translational Oncology (1 paper)Genes & Diseases (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zhenyu Ye
19 papers receiving 622 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 142
- Epidemiology 244
- Virology 29
- Genetics 128
- Animal Science and Zoology 43
Countries citing papers authored by Zhenyu Ye
This map shows the geographic impact of Zhenyu 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 Zhenyu Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyu Ye more than expected).
Fields of papers citing papers by Zhenyu Ye
This network shows the impact of papers produced by Zhenyu 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 Zhenyu Ye. The network helps show where Zhenyu Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenyu 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 | 1995 | 90 | |
| 2 | 1995 | 84 | |
| 3 | 2021 | 76 | |
| 4 | 1994 | 75 | |
| 5 | 2013 | 65 | |
| 6 | 2018 | 39 | |
| 7 | 1994 | 37 | |
| 8 | B7-H3 increases the radioresistance of gastric cancer cells through regulating baseline levels of cell autophagy. | 2019 | 27 |
| 9 | Genomic analysis of drug resistant pancreatic cancer cell line by combining long non-coding RNA and mRNA expression profling. | 2015 | 26 |
| 10 | 2022 | 24 | |
| 11 | 2022 | 24 | |
| 12 | 2020 | 21 | |
| 13 | 2021 | 15 | |
| 14 | 2020 | 9 | |
| 15 | 2024 | 7 | |
| 16 | 2014 | 5 | |
| 17 | 2024 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 2 |
About Zhenyu Ye
Zhenyu Ye is a scholar working on Molecular Biology, Epidemiology, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 630 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Ferroptosis and cancer prognosis (2 papers), Virology and Viral Diseases (2 papers), Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (142 citations), Epidemiology (244 citations), Virology (29 citations), Genetics (128 citations) and Animal Science and Zoology (43 citations). Zhenyu Ye has collaborated with scholars based in China and United States. Frequent co-authors include R R Wagner, Wei Sun, William W. Newcomb, Jay C. Brown, D R Thomsen, Fred L. Homa, Yongyou Wu, Yecheng Li, Kui Zhao and Pablo R. Grigera. Their work appears in journals such as Journal of Virology, Genes and Immunity, Translational Oncology, Genes & Diseases and Molecular and Cellular Biology.
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.