Keungmo Yang
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Liver Disease and Transplantation
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- MicroRNA in disease regulation
Papers in
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 14
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- Alcohol Consumption and Health Effects 9
- Co-authors
- Myeong Jun Song (3 shared papers)Tom Ryu (18 shared papers)Won‐Il Jeong (6 shared papers)Hee‐Hoon Kim (7 shared papers)Young‐Ri Shim (7 shared papers)Hyuk Soo Eun (4 shared papers)Jun Hee Lee (3 shared papers)Seok‐Hwan Kim (4 shared papers)
- Journals
- Nutrients (4 papers)Hepatology (3 papers)Antioxidants (2 papers)International Journal of Molecular Sciences (2 papers)Clinical and Molecular Hepatology (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Keungmo Yang
30 papers receiving 375 citations
Peers
Comparison fields: 5 of 66
- Hepatology 104
- Cancer Research 54
- Epidemiology 116
- Pathology and Forensic Medicine 54
- Immunology 54
Countries citing papers authored by Keungmo Yang
This map shows the geographic impact of Keungmo Yang'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 Keungmo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keungmo Yang more than expected).
Fields of papers citing papers by Keungmo Yang
This network shows the impact of papers produced by Keungmo Yang. 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 Keungmo Yang. The network helps show where Keungmo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Keungmo Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2021 | 46 | |
| 3 | 2023 | 38 | |
| 4 | 2017 | 30 | |
| 5 | 2023 | 26 | |
| 6 | 2019 | 23 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 15 | |
| 9 | 2024 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About Keungmo Yang
Keungmo Yang is a scholar working on Epidemiology, Pathology and Forensic Medicine, Hepatology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 378 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Alcohol Consumption and Health Effects (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Diet, Metabolism, and Disease (5 papers), Diet and metabolism studies (4 papers), Ginseng Biological Effects and Applications (2 papers), Immune Cell Function and Interaction (2 papers) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Hepatology (104 citations), Cancer Research (54 citations), Epidemiology (116 citations), Pathology and Forensic Medicine (54 citations) and Immunology (54 citations). Keungmo Yang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Myeong Jun Song, Tom Ryu, Won‐Il Jeong, Hee‐Hoon Kim, Young‐Ri Shim, Hyuk Soo Eun, Jun Hee Lee, Seok‐Hwan Kim, Ye Eun Kim and Won‐Mook Choi. Their work appears in journals such as Nutrients, Hepatology, Antioxidants, International Journal of Molecular Sciences and Clinical and Molecular 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.