Jui-Ting Hu
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Liver physiology and pathology
- Liver Diseases and Immunity
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
-
- Hepatitis B Virus Studies 5
- Liver Disease Diagnosis and Treatment 2
-
- Hepatitis C virus research 2
- Hepatitis Viruses Studies and Epidemiology 1
- Co-authors
- Sien-Sing Yang (10 shared papers)Yi‐Wen Huang (8 shared papers)Ding‐Shinn Chen (8 shared papers)Ting‐Chuan Wang (4 shared papers)Jia‐Horng Kao (7 shared papers)Shih‐Chang Lin (3 shared papers)Cheng-Kai Hsu (2 shared papers)Yun‐Yi Chen (1 shared paper)
- Journals
- Antiviral Therapy (4 papers)The American Journal of Gastroenterology (1 paper)Journal of Hepatology (1 paper)Journal of Medical Virology (1 paper)Hepatology (1 paper)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Jui-Ting Hu
12 papers receiving 863 citations
Jui-Ting Hu's Hit Papers
Peers
Comparison fields: 5 of 55
- Hepatology 392
- Epidemiology 632
- Endocrinology, Diabetes and Metabolism 130
- Cell Biology 65
- Pathology and Forensic Medicine 49
Countries citing papers authored by Jui-Ting Hu
This map shows the geographic impact of Jui-Ting Hu'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 Jui-Ting Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Ting Hu more than expected).
Fields of papers citing papers by Jui-Ting Hu
This network shows the impact of papers produced by Jui-Ting Hu. 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 Jui-Ting Hu. The network helps show where Jui-Ting Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jui-Ting Hu, 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 | Selonsertib for patients with bridging fibrosis or compensated cirrhosis due to NASH: Results from randomized phase III STELLAR trials Hit paper breakdown → | 2020 | 404 |
| 2 | 2014 | 98 | |
| 3 | 2013 | 89 | |
| 4 | 2016 | 88 | |
| 5 | 2014 | 60 | |
| 6 | 2010 | 44 | |
| 7 | 2013 | 41 | |
| 8 | 2013 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2016 | 9 | |
| 11 | 2009 | 5 | |
| 12 | 2024 | 4 |
About Jui-Ting Hu
Jui-Ting Hu is a scholar working on Epidemiology, Hepatology, Pathology and Forensic Medicine, Rheumatology and Molecular Biology, having authored 12 papers that have together received 875 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (2 papers), Alcohol Consumption and Health Effects (2 papers), Hepatitis C virus research (2 papers), Hepatitis Viruses Studies and Epidemiology (1 paper), Gut microbiota and health (1 paper) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Hepatology (392 citations), Epidemiology (632 citations), Endocrinology, Diabetes and Metabolism (130 citations), Cell Biology (65 citations) and Pathology and Forensic Medicine (49 citations). Jui-Ting Hu has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Sien-Sing Yang, Yi‐Wen Huang, Ding‐Shinn Chen, Ting‐Chuan Wang, Jia‐Horng Kao, Shih‐Chang Lin, Cheng-Kai Hsu, Yun‐Yi Chen, Chia-Long Lee and Shoichi Takahashi. Their work appears in journals such as Antiviral Therapy, The American Journal of Gastroenterology, Journal of Hepatology, Journal of Medical Virology and 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.