T. Jake Liang
Impact in
- Hepatology top 0.02%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Epidemiology top 0.05%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 155
- Hepatitis C virus research 146
- Hepatitis Viruses Studies and Epidemiology 11
- Epidemiology 138
- Hepatitis B Virus Studies 126
- Liver Disease Diagnosis and Treatment 69
- Co-authors
- Jay H. HoofnagleBarbara RehermannRohit LoombaMarc G. GhanyTheo HellerJack R. WandsEdward DooLeonard B. Seeff
- Journals
- Gastroenterology (25 papers)Journal of Virology (22 papers)Hepatology (15 papers)Alimentary Pharmacology & Therapeutics (10 papers)Journal of Clinical Investigation (8 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
T. Jake Liang
190 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Hepatology 8.9k
- Epidemiology 9.1k
- Virology 623
- Infectious Diseases 1.6k
- Immunology 1.7k
Countries citing papers authored by T. Jake Liang
This map shows the geographic impact of T. Jake Liang'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 T. Jake Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Jake Liang more than expected).
Fields of papers citing papers by T. Jake Liang
This network shows the impact of papers produced by T. Jake Liang. 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 T. Jake Liang. The network helps show where T. Jake Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Jake Liang, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 43 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 7 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 22 | |
| 18 | 2016 | 51 | |
| 19 | 2014 | 81 | |
| 20 | 1994 | 71 |
About T. Jake Liang
T. Jake Liang is a scholar working on Hepatology, Epidemiology, Virology, Infectious Diseases and Rheumatology, having authored 195 papers that have together received 13.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (146 papers), Hepatitis B Virus Studies (126 papers), Liver Disease Diagnosis and Treatment (69 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Systemic Lupus Erythematosus Research (14 papers), HIV Research and Treatment (13 papers), Hepatitis Viruses Studies and Epidemiology (11 papers) and HIV/AIDS drug development and treatment (10 papers). The work is most often cited by research in Hepatology (8.9k citations), Epidemiology (9.1k citations), Virology (623 citations), Infectious Diseases (1.6k citations) and Immunology (1.7k citations). T. Jake Liang has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Jay H. Hoofnagle, Barbara Rehermann, Rohit Loomba, Marc G. Ghany, Theo Heller, Jack R. Wands, Edward Doo, Leonard B. Seeff, Zongyi Hu and Kiyoshi Hasegawa. Their work appears in journals such as Gastroenterology, Journal of Virology, Hepatology, Alimentary Pharmacology & Therapeutics and Journal of Clinical Investigation.
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.