Ying Ye
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- RNA Research and Splicing 2
- Biomedical Text Mining and Ontologies 2
-
- Immune Cell Function and Interaction 2
- Co-authors
- Juinn-Lin Liu (1 shared paper)Hsing-Jien Kung (1 shared paper)David Camerini (2 shared papers)Noriko Yokoyama (1 shared paper)Yathi M. Naidu (1 shared paper)Michael E. Selsted (1 shared paper)Wei Xia (1 shared paper)Maira Soto (1 shared paper)
- Journals
- Evidence-based Complementary and Alternative Medicine (2 papers)Infection and Drug Resistance (1 paper)Medicine (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Ye
16 papers receiving 394 citations
Peers
Comparison fields: 5 of 73
- Microbiology 52
- Virology 39
- Epidemiology 158
- Immunology 87
- Complementary and alternative medicine 31
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 | 1998 | 105 | |
| 2 | 2010 | 68 | |
| 3 | 2018 | 45 | |
| 4 | 2005 | 44 | |
| 5 | 1998 | 34 | |
| 6 | 2020 | 26 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2016 | 11 | |
| 10 | 1999 | 9 | |
| 11 | 2012 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 3 | |
| 16 | [Surveillance of adverse events following immunization in Henan Province, China between 2010-2011]. | 2013 | 2 |
About Ying Ye
Ying Ye is a scholar working on Molecular Biology, Immunology, Epidemiology, Infectious Diseases and Virology, having authored 16 papers that have together received 400 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (2 papers), RNA Research and Splicing (2 papers), Immune Cell Function and Interaction (2 papers), Biomedical Text Mining and Ontologies (2 papers), Herpesvirus Infections and Treatments (2 papers), Antibiotic Use and Resistance (1 paper), Bartonella species infections research (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Microbiology (52 citations), Virology (39 citations), Epidemiology (158 citations), Immunology (87 citations) and Complementary and alternative medicine (31 citations). Ying Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Juinn-Lin Liu, Hsing-Jien Kung, David Camerini, Noriko Yokoyama, Yathi M. Naidu, Michael E. Selsted, Wei Xia, Maira Soto, Dat Q. Tran and Yanan Song. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Infection and Drug Resistance, Medicine, Frontiers in Cell and Developmental Biology and Journal of Cellular Physiology.
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.