Ying An
Impact in
- Clinical Psychology top 10%
- COVID-19 and Mental Health
- Small Animals top 5%
- Veterinary medicine and infectious diseases
Papers in
- Genetics 16
- Virus-based gene therapy research 6
- Insect and Arachnid Ecology and Behavior 5
- Co-authors
- Yu‐Tao Xiang (3 shared papers)Gábor S. Ungvári (3 shared papers)Feng-Rong An (2 shared papers)Teris Cheung (2 shared papers)Yuan Yang (2 shared papers)Qinge Zhang (1 shared paper)Aiping Wang (1 shared paper)Yue Li (1 shared paper)
- Journals
- Helicobacter (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Biologicals (1 paper)Frontiers in Psychiatry (1 paper)Virus Research (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ying An
58 papers receiving 974 citations
Peers
Comparison fields: 5 of 136
- Clinical Psychology 191
- Small Animals 65
- Endocrine and Autonomic Systems 57
- Biological Psychiatry 17
- General Health Professions 158
Countries citing papers authored by Ying An
This map shows the geographic impact of Ying An'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 An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying An more than expected).
Fields of papers citing papers by Ying An
This network shows the impact of papers produced by Ying An. 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 An. The network helps show where Ying An may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying An, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 210 | |
| 2 | 2020 | 74 | |
| 3 | 1998 | 62 | |
| 4 | 2019 | 56 | |
| 5 | 2021 | 40 | |
| 6 | 2018 | 37 | |
| 7 | 2016 | 33 | |
| 8 | 2013 | 28 | |
| 9 | 2022 | 27 | |
| 10 | 2017 | 25 | |
| 11 | Potential of probiotic strains to modulate the inflammatory responses of epithelial and immune cells in vitro. | 2013 | 23 |
| 12 | 2016 | 23 | |
| 13 | 1997 | 22 | |
| 14 | 2004 | 20 | |
| 15 | 2020 | 20 | |
| 16 | 2016 | 18 | |
| 17 | 2014 | 18 | |
| 18 | 2019 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2018 | 14 |
About Ying An
Ying An is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology and Immunology, having authored 62 papers that have together received 1000 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Virus-based gene therapy research (6 papers), Animal Virus Infections Studies (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Veterinary medicine and infectious diseases (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Invertebrate Immune Response Mechanisms (3 papers) and Healthcare professionals’ stress and burnout (3 papers). The work is most often cited by research in Clinical Psychology (191 citations), Small Animals (65 citations), Endocrine and Autonomic Systems (57 citations), Biological Psychiatry (17 citations) and General Health Professions (158 citations). Ying An has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yu‐Tao Xiang, Gábor S. Ungvári, Feng-Rong An, Teris Cheung, Yuan Yang, Qinge Zhang, Aiping Wang, Yue Li, Michael J. Breslow and Dan E. Berkowitz. Their work appears in journals such as Helicobacter, Analytical and Bioanalytical Chemistry, Biologicals, Frontiers in Psychiatry and Virus Research.
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.