Jinna Chu
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- 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
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- Liver Disease Diagnosis and Treatment 4
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- Hepatocellular Carcinoma Treatment and Prognosis 3
- Hepatitis C virus research 2
- Co-authors
- Fasiha Kanwal (4 shared papers)Hashem B. El‐Serag (4 shared papers)Jennifer R. Kramer (3 shared papers)Liang Li (2 shared papers)Yamini Natarajan (3 shared papers)Peter Richardson (1 shared paper)Roxanne Desiderio (1 shared paper)Aaron P. Thrift (1 shared paper)
- Journals
- Digestive Diseases and Sciences (2 papers)Journal of Clinical Oncology (1 paper)Journal of Hepatology (1 paper)BMC Medical Education (1 paper)Gastroenterology (1 paper)
- Partner nations
- United States
In The Last Decade
Jinna Chu
6 papers receiving 636 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Hepatology 366
- Epidemiology 526
- Endocrinology, Diabetes and Metabolism 135
- Cancer Research 76
- Pathology and Forensic Medicine 78
Countries citing papers authored by Jinna Chu
This map shows the geographic impact of Jinna Chu'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 Jinna Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinna Chu more than expected).
Fields of papers citing papers by Jinna Chu
This network shows the impact of papers produced by Jinna Chu. 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 Jinna Chu. The network helps show where Jinna Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinna Chu, 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 | Risk of Hepatocellular Cancer in Patients With Non-Alcoholic Fatty Liver Disease Hit paper breakdown → | 2018 | 558 |
| 2 | 2022 | 60 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 5 | |
| 6 | 2020 | 2 |
About Jinna Chu
Jinna Chu is a scholar working on Epidemiology, Hepatology, General Health Professions, Radiological and Ultrasound Technology and Oncology, having authored 6 papers that have together received 646 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Hepatitis C virus research (2 papers), Folate and B Vitamins Research (1 paper), Diet, Metabolism, and Disease (1 paper), Empathy and Medical Education (1 paper), Patient-Provider Communication in Healthcare (1 paper) and Cancer survivorship and care (1 paper). The work is most often cited by research in Hepatology (366 citations), Epidemiology (526 citations), Endocrinology, Diabetes and Metabolism (135 citations), Cancer Research (76 citations) and Pathology and Forensic Medicine (78 citations). Jinna Chu has collaborated with scholars based in United States. Frequent co-authors include Fasiha Kanwal, Hashem B. El‐Serag, Jennifer R. Kramer, Liang Li, Yamini Natarajan, Peter Richardson, Roxanne Desiderio, Aaron P. Thrift, Maneerat Chayanupatkul and Srikar Mapakshi. Their work appears in journals such as Digestive Diseases and Sciences, Journal of Clinical Oncology, Journal of Hepatology, BMC Medical Education and Gastroenterology.
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.