Hyeki Cho

708 citations
27 papers · 491 · h-index 14

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis B Virus Studies 14
    • Liver Disease Diagnosis and Treatment 14
    • Autophagy in Disease and Therapy 1
    • Hepatitis C virus research 10
    • Hepatocellular Carcinoma Treatment and Prognosis 6
    • Liver Disease and Transplantation 2

Hyeki Cho

27 papers receiving 486 citations

Peers

Hyeki Cho
Comparison fields: 5 of 62
  • Hepatology 303
  • Epidemiology 308
  • Cancer Research 76
  • Pharmacology 27
  • Oncology 72
Replace Roman Liebe with:
Roman Liebe Germany
Akira Anan Japan
Volker Penndorf Germany
Can Gan China
Beatrice Foglia Italy
Hui‐Wei Chen United States
Masaya Shigeno Japan
Ezio David Italy
Osamu Maehara Japan
Seita Kataoka Japan
Hyeki Cho relative to Roman Liebe Germany Roman Liebe's profile →
Citations per field
00.5×1.5×
Roman Liebe · 1×
Citations per year

Countries citing papers authored by Hyeki Cho

Since Specialization
Citations

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

Fields of papers citing papers by Hyeki Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeki Cho. 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 Hyeki Cho. The network helps show where Hyeki Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 201761
3 201837
4 201734
5 201428
6 201724
7 201923
8 201819
9 201819
10 201519
11 201516
12 201815
13 201815
14 201415
15 201713
16 201611
17 201810
18 20179
19 20189
20 20179

About Hyeki Cho

Hyeki Cho is a scholar working on Epidemiology, Hepatology, Surgery, Molecular Biology and Oncology, having authored 27 papers that have together received 491 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (14 papers), Liver Disease Diagnosis and Treatment (14 papers), Hepatitis C virus research (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Liver Disease and Transplantation (2 papers), Mineral Processing and Grinding (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Hepatology (303 citations), Epidemiology (308 citations), Cancer Research (76 citations), Pharmacology (27 citations) and Oncology (72 citations). Hyeki Cho has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Yoon Jun Kim, Su Jong Yu, Jeong‐Hoon Lee, Eun Ju Cho, Jung‐Hwan Yoon, Young Youn Cho, Joon Yeul Nam, Young Woon Chang, Jeong‐Ju Yoo and Minjong Lee. Their work appears in journals such as Hepatology, Journal of Viral Hepatitis, Alimentary Pharmacology & Therapeutics, PLoS ONE and Gut and Liver.

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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