Jinna Chu

929 citations
6 papers · 675 · 1 hit paper · h-index 5

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

Jinna Chu

6 papers receiving 665 citations

Jinna Chu's Hit Papers

Risk of Hepatocellular Cancer in Patients With Non-Alcoholic Fatty Liver Disease 2018 · 576 citations
5760+2+5Years since publication100200300400500

Peers

Jinna Chu
Comparison fields: 5 of 56
  • Hepatology 269
  • Epidemiology 446
  • Endocrinology, Diabetes and Metabolism 97
  • Cancer Research 58
  • Pathology and Forensic Medicine 56
Replace Srikar Mapakshi with:
Srikar Mapakshi United States
Roxanne Desiderio United States
Sarah Temple United States
Naoyuki Fujimori Japan
Volker Penndorf Germany
J. Marrero United States
Massih Ningarhari France
Yasuji Komorizono Japan
Jennifer Demieville United States
Nozomu Wada Japan
Jinna Chu relative to Srikar Mapakshi United States Srikar Mapakshi's profile →
Citations per field
00.5×2.6×
Srikar Mapakshi · 1×
Citations per year

Countries citing papers authored by Jinna Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jinna Chu Line = papers co-authored together Jinna Chu links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Risk of Hepatocellular Cancer in Patients With Non-Alcoholic Fatty Liver Disease
Hit paper breakdown →
2018576
2 202270
3 202212
4 20229
5 20226
6 20202

About Jinna Chu

Jinna Chu is a scholar working on Epidemiology, General Health Professions, Oncology, Hematology and Infectious Diseases, having authored 6 papers that have together received 675 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Patient-Provider Communication in Healthcare (1 paper), Cancer survivorship and care (1 paper), Cancer Treatment and Pharmacology (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Hepatology (269 citations), Epidemiology (446 citations), Endocrinology, Diabetes and Metabolism (97 citations), Cancer Research (58 citations) and Pathology and Forensic Medicine (56 citations). Jinna Chu has collaborated with scholars based in United States. Frequent co-authors include Hashem B. El‐Serag, Fasiha Kanwal, Jennifer R. Kramer, Liang Li, Yamini Natarajan, Srikar Mapakshi, Roxanne Desiderio, Aaron P. Thrift, Steven M. Asch and Peter Richardson. 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.

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