Ying Ye
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
-
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
Papers in
-
- Hepatitis C virus research 7
- Hepatitis Viruses Studies and Epidemiology 3
- Epidemiology 18
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 4
- Data-Driven Disease Surveillance 2
- Co-authors
- Hong ZhangLing XiaoMengyao SunKhalid RahmanJun LiDennis J. TempletonHsing‐Jien KungLucy F. Lee
- Journals
- Scientific Reports (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)African Journal of Traditional Complementary and Alternative Medicines (2 papers)Journal of Pharmacy and Pharmacology (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ying Ye
26 papers receiving 338 citations
Peers
Comparison fields: 5 of 92
- Hepatology 75
- Epidemiology 154
- Biochemistry 15
- Virology 11
- Pathology and Forensic Medicine 39
Countries citing papers authored by Ying Ye
This map shows the geographic impact of Ying 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 Ying Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Ye more than expected).
Fields of papers citing papers by Ying Ye
This network shows the impact of papers produced by Ying 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 Ying Ye. The network helps show where Ying Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 14 | |
| 13 | 2016 | 43 | |
| 14 | 2016 | 1 | |
| 15 | 2016 | 17 | |
| 16 | 2016 | 7 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2014 | 7 | |
| 20 | [Study on the epidemiological characteristics of measles in Henan province during 2004-2006]. | 2007 | 1 |
About Ying Ye
Ying Ye is a scholar working on Hepatology, Epidemiology, Geriatrics and Gerontology, Developmental Neuroscience and Modeling and Simulation, having authored 29 papers that have together received 343 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Immunotherapy and Immune Responses (2 papers), Data-Driven Disease Surveillance (2 papers), Viral Infections and Outbreaks Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hepatology (75 citations), Epidemiology (154 citations), Biochemistry (15 citations), Virology (11 citations) and Pathology and Forensic Medicine (39 citations). Ying Ye has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hong Zhang, Ling Xiao, Mengyao Sun, Khalid Rahman, Jun Li, Dennis J. Templeton, Hsing‐Jien Kung, Lucy F. Lee, Mengyao Sun and Bo Jiang. Their work appears in journals such as Scientific Reports, Frontiers in Cellular and Infection Microbiology, African Journal of Traditional Complementary and Alternative Medicines, Journal of Pharmacy and Pharmacology and BMJ Open.
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.