Sam Trinh
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Hepatitis C virus research
- Liver Diseases and Immunity
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Epidemiology 11
- Liver Disease Diagnosis and Treatment 9
- Hepatitis B Virus Studies 6
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- Hepatitis C virus research 8
- Liver Disease and Transplantation 1
- Co-authors
- Mindie H. Nguyen (12 shared papers)Linda Henry (5 shared papers)Ramsey Cheung (4 shared papers)Christopher D Stave (2 shared papers)Jie Li (2 shared papers)Yuankai Wu (2 shared papers)Leslie Y. Kam (2 shared papers)Daniel Q. Huang (2 shared papers)
- Journals
- PLoS ONE (2 papers)Gastroenterology (2 papers)Liver International (1 paper)Scientific Reports (1 paper)Alimentary Pharmacology & Therapeutics (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Sam Trinh
12 papers receiving 678 citations
Sam Trinh's Hit Papers
Peers
Comparison fields: 5 of 59
- Hepatology 279
- Epidemiology 629
- Endocrinology, Diabetes and Metabolism 270
- Pathology and Forensic Medicine 140
- Cardiology and Cardiovascular Medicine 81
Countries citing papers authored by Sam Trinh
This map shows the geographic impact of Sam Trinh'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 Sam Trinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Trinh more than expected).
Fields of papers citing papers by Sam Trinh
This network shows the impact of papers produced by Sam Trinh. 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 Sam Trinh. The network helps show where Sam Trinh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Trinh, 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 | Global prevalence, incidence, and outcomes of non-obese or lean non-alcoholic fatty liver disease: a systematic review and meta-analysis Hit paper breakdown → | 2020 | 586 |
| 2 | 2018 | 31 | |
| 3 | 2017 | 15 | |
| 4 | 2017 | 14 | |
| 5 | 2018 | 14 | |
| 6 | 2018 | 12 | |
| 7 | 2021 | 6 | |
| 8 | 2017 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2016 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 1 |
About Sam Trinh
Sam Trinh is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 693 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (6 papers), Alcohol Consumption and Health Effects (3 papers), Diet, Metabolism, and Disease (2 papers), HIV/AIDS drug development and treatment (2 papers), Liver Disease and Transplantation (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Hepatology (279 citations), Epidemiology (629 citations), Endocrinology, Diabetes and Metabolism (270 citations), Pathology and Forensic Medicine (140 citations) and Cardiology and Cardiovascular Medicine (81 citations). Sam Trinh has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Mindie H. Nguyen, Linda Henry, Ramsey Cheung, Christopher D Stave, Jie Li, Yuankai Wu, Leslie Y. Kam, Daniel Q. Huang, Hongli Yang and Chuanli Liu. Their work appears in journals such as PLoS ONE, Gastroenterology, Liver International, Scientific Reports and Alimentary Pharmacology & Therapeutics.
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.