Jinna Chu

904 total citations · 1 hit paper
6 papers, 646 citations indexed

About

Jinna Chu is a scholar working on Epidemiology, Hepatology and General Health Professions. According to data from OpenAlex, Jinna Chu has authored 6 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Hepatology and 1 paper in General Health Professions. Recurrent topics in Jinna Chu's work include Liver Disease Diagnosis and Treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Hepatitis C virus research (2 papers). Jinna Chu is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Hepatitis C virus research (2 papers). Jinna Chu collaborates with scholars based in United States. Jinna Chu's co-authors include Hashem B. El‐Serag, Fasiha Kanwal, Jennifer R. Kramer, Liang Li, Yamini Natarajan, Peter Richardson, Aaron P. Thrift, Roxanne Desiderio, Srikar Mapakshi and Steven M. Asch and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Journal of Hepatology.

In The Last Decade

Jinna Chu

6 papers receiving 636 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Risk of Hepatocellular Cancer in Patients With Non-Alcoholic Fatty Liver Disease

2018 558 citations Fasiha Kanwal, Jennifer R. Kramer et al. Gastroenterology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jinna Chu United States	5	526	366	135	78	76	6	646
Janine Graham United Kingdom	4	525 1.0×	433 1.2×	110 0.8×	76 1.0×	127 1.7×	5	662
J. Marrero United States	4	466 0.9×	311 0.8×	137 1.0×	101 1.3×	52 0.7×	5	548
Volker Penndorf Germany	7	365 0.7×	252 0.7×	110 0.8×	54 0.7×	57 0.8×	10	514
Sarah Temple United States	6	761 1.4×	652 1.8×	144 1.1×	88 1.1×	113 1.5×	16	953
Luminita Bonyhay France	7	575 1.1×	477 1.3×	180 1.3×	151 1.9×	50 0.7×	12	765
Pei‐Wu Zhu China	13	383 0.7×	172 0.5×	117 0.9×	39 0.5×	57 0.8×	34	501
Nozomu Wada Japan	15	243 0.5×	285 0.8×	61 0.5×	40 0.5×	87 1.1×	45	560
Ling Han United States	5	438 0.8×	254 0.7×	163 1.2×	81 1.0×	17 0.2×	6	582
B. Mccolgan United States	10	682 1.3×	422 1.2×	266 2.0×	70 0.9×	29 0.4×	23	821
Naoyuki Fujimori Japan	17	620 1.2×	430 1.2×	129 1.0×	54 0.7×	29 0.4×	37	816

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-authorship network of co-authors of Jinna Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinna Chu. A scholar is included among the top collaborators of Jinna Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinna Chu. Jinna Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Natarajan, Yamini, Parth Patel, Jinna Chu, et al.. (2022). Risk of Hepatocellular Carcinoma in Patients with Various HFE Genotypes. Digestive Diseases and Sciences. 68(1). 312–322. 12 indexed citations

2.

Cholankeril, George, Jennifer R. Kramer, Jinna Chu, et al.. (2022). Longitudinal changes in fibrosis markers are associated with risk of cirrhosis and hepatocellular carcinoma in non-alcoholic fatty liver disease. Journal of Hepatology. 78(3). 493–500. 60 indexed citations

3.

Chu, Jinna, Sylvia J. Hysong, Richard L. Street, et al.. (2022). Acceptability and feasibility of video-based coaching to enhance clinicians’ communication skills with patients. BMC Medical Education. 22(1). 85–85. 5 indexed citations

4.

Chu, Jinna, Xian Yu, Abbas Rana, et al.. (2022). Clinical Course and Outcomes of Patients with Nonalcoholic Fatty Liver Disease-Related Hepatocellular Cancer (NAFLD-HCC) . Digestive Diseases and Sciences. 68(3). 1060–1070. 9 indexed citations

5.

Najafi, Bijan, et al.. (2020). Continuous monitoring of mobility performance trajectory in patients receiving chemotherapy.. Journal of Clinical Oncology. 38(15_suppl). e14104–e14104. 2 indexed citations

6.

Kanwal, Fasiha, Jennifer R. Kramer, Srikar Mapakshi, et al.. (2018). Risk of Hepatocellular Cancer in Patients With Non-Alcoholic Fatty Liver Disease. Gastroenterology. 155(6). 1828–1837.e2. 558 indexed citations breakdown →

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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