Xiaohan Ying
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- Sensory Systems top 10%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Liver Disease and Transplantation 3
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Hepatitis C virus research 2
-
- Pharmaceutical industry and healthcare 4
- Co-authors
- Monika M. Safford (3 shared papers)Bruce B. Lerman (4 shared papers)Parag Goyal (3 shared papers)Jim W. Cheung (4 shared papers)Walter S. Mathis (6 shared papers)Steven M. Markowitz (3 shared papers)James E. Ip (3 shared papers)Christopher F. Liu (3 shared papers)
- Journals
- Gastroenterology (4 papers)Journal of General Internal Medicine (3 papers)JAMA Network Open (2 papers)Liver Transplantation (2 papers)Journal of Hepatology (1 paper)
- Partner nations
- United StatesCanadaTanzania
In The Last Decade
Xiaohan Ying
32 papers receiving 476 citations
Peers
Comparison fields: 5 of 38
- Infectious Diseases 205
- Sensory Systems 23
- Hepatology 34
- Health Informatics 4
- Pharmacology 15
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2020 | 81 | |
| 3 | 2020 | 47 | |
| 4 | 2023 | 37 | |
| 5 | 2018 | 32 | |
| 6 | 2020 | 30 | |
| 7 | 2022 | 30 | |
| 8 | 2020 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2025 | 11 | |
| 11 | 2016 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2023 | 2 |
About Xiaohan Ying
Xiaohan Ying is a scholar working on Hepatology, Pharmacology, Infectious Diseases, Emergency Medical Services and Virology, having authored 40 papers that have together received 497 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Pharmaceutical industry and healthcare (4 papers), Global Health Workforce Issues (3 papers), Liver Disease and Transplantation (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Hepatitis C virus research (2 papers), Pharmaceutical Economics and Policy (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Infectious Diseases (205 citations), Sensory Systems (23 citations), Hepatology (34 citations), Health Informatics (4 citations) and Pharmacology (15 citations). Xiaohan Ying has collaborated with scholars based in United States, Canada and Tanzania. Frequent co-authors include Monika M. Safford, Bruce B. Lerman, Parag Goyal, Jim W. Cheung, Walter S. Mathis, Steven M. Markowitz, James E. Ip, Christopher F. Liu, George Thomas and Arun B. Jesudian. Their work appears in journals such as Gastroenterology, Journal of General Internal Medicine, JAMA Network Open, Liver Transplantation and Journal of Hepatology.
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.