Xiaohan Ying
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Long-Term Effects of COVID-19
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 5
- Hepatitis B Virus Studies 4
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- Hepatitis C virus research 5
- Liver Disease and Transplantation 3
- Co-authors
- Jim W. Cheung (3 shared papers)Monika M. Safford (2 shared papers)Bruce B. Lerman (3 shared papers)Parag Goyal (2 shared papers)Peter H. Kahn (1 shared paper)Steven M. Markowitz (2 shared papers)George Thomas (1 shared paper)Christopher F. Liu (2 shared papers)
- Journals
- Gastroenterology (3 papers)Liver Transplantation (2 papers)JAMA Network Open (2 papers)Journal of Clinical Medicine (1 paper)JACC. Clinical electrophysiology (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Xiaohan Ying
21 papers receiving 207 citations
Peers
Comparison fields: 5 of 58
- Infectious Diseases 78
- Neurology 36
- Cardiology and Cardiovascular Medicine 43
- Geriatrics and Gerontology 6
- Family Practice 3
Countries citing papers authored by Xiaohan Ying
This map shows the geographic impact of Xiaohan Ying'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 Xiaohan Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Ying more than expected).
Fields of papers citing papers by Xiaohan Ying
This network shows the impact of papers produced by Xiaohan Ying. 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 Xiaohan Ying. The network helps show where Xiaohan Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohan Ying, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2020 | 42 | |
| 3 | 2022 | 26 | |
| 4 | 2018 | 17 | |
| 5 | 2016 | 10 | |
| 6 | 2025 | 7 | |
| 7 | 2021 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Xiaohan Ying
Xiaohan Ying is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Economics and Econometrics and Surgery, having authored 32 papers that have together received 214 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (4 papers), Pharmaceutical Economics and Policy (3 papers), Diversity and Career in Medicine (3 papers), Liver Disease and Transplantation (3 papers), Global Health and Surgery (2 papers) and Pharmaceutical industry and healthcare (2 papers). The work is most often cited by research in Infectious Diseases (78 citations), Neurology (36 citations), Cardiology and Cardiovascular Medicine (43 citations), Geriatrics and Gerontology (6 citations) and Family Practice (3 citations). Xiaohan Ying has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jim W. Cheung, Monika M. Safford, Bruce B. Lerman, Parag Goyal, Peter H. Kahn, Steven M. Markowitz, George Thomas, Christopher F. Liu, James E. Ip and Ilhwan Yeo. Their work appears in journals such as Gastroenterology, Liver Transplantation, JAMA Network Open, Journal of Clinical Medicine and JACC. Clinical electrophysiology.
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.