Gab Jin Cheon

2.2k citations
94 papers · 1.6k · h-index 20

Impact in

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

Papers in

    • Liver Disease and Transplantation 14
    • Hepatocellular Carcinoma Treatment and Prognosis 7
    • Hepatitis C virus research 6
    • Gastrointestinal Tumor Research and Treatment 8

Gab Jin Cheon

94 papers receiving 1.6k citations

Peers

Gab Jin Cheon
Comparison fields: 5 of 109
  • Hepatology 493
  • Gastroenterology 112
  • Epidemiology 485
  • Pathology and Forensic Medicine 171
  • Pharmacology 77
Replace Ramón Bartolí with:
Ramón Bartolí Spain
Juan Ignacio Arenas Spain
E Fassio Argentina
Marco Montagnani Italy
Sang Gyune Kim South Korea
Chalermrat Bunchorntavakul Thailand
Gopal Krishna Dhali India
Shui‐Yi Tung Taiwan
Kim Vaiphei India
Geom Seog Seo South Korea
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Citations per field
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Ramón Bartolí · 1×
Citations per year

Countries citing papers authored by Gab Jin Cheon

Since Specialization
Citations

This map shows the geographic impact of Gab Jin Cheon'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 Gab Jin Cheon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gab Jin Cheon more than expected).

Fields of papers citing papers by Gab Jin Cheon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gab Jin Cheon. 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 Gab Jin Cheon. The network helps show where Gab Jin Cheon may publish in the future.

Co-authors

The 25 scholars most cited alongside Gab Jin Cheon, 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 Gab Jin Cheon Line = papers co-authored together Gab Jin Cheon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018215
2 2014132
3 2015122
4 2012117
5 201975
6 201572
7 201259
8 202057
9 200840
10 201035
11 201133
12 201731
13 201831
14 201328
15 201827
16 201224
17 201323
18 201323
19 202022
20 201821

About Gab Jin Cheon

Gab Jin Cheon is a scholar working on Hepatology, Gastroenterology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (14 papers), Liver Disease Diagnosis and Treatment (14 papers), Gastric Cancer Management and Outcomes (9 papers), Hepatitis B Virus Studies (9 papers), Gastrointestinal Tumor Research and Treatment (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Gastrointestinal disorders and treatments (6 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Hepatology (493 citations), Gastroenterology (112 citations), Epidemiology (485 citations), Pathology and Forensic Medicine (171 citations) and Pharmacology (77 citations). Gab Jin Cheon has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Young Don Kim, Baek Gyu Jun, Soon Koo Baik, Moon Young Kim, Ki Tae Suk, Dong Joon Kim, Dae Hee Choi, Koon Hee Han, Hyuk-Jai Jang and Soung Won Jeong. Their work appears in journals such as Journal of Hepatology, PLoS ONE, Gut and Liver, Journal of Korean Medical Science and European Journal of Gastroenterology & Hepatology.

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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