Tom Ryu
Impact in
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- Liver physiology and pathology
- Liver Disease and Transplantation
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 14
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- Alcohol Consumption and Health Effects 9
- Co-authors
- Keungmo Yang (18 shared papers)Won‐Il Jeong (5 shared papers)Young‐Ri Shim (5 shared papers)Hee‐Hoon Kim (5 shared papers)Jun Hee Lee (3 shared papers)Ye Eun Kim (3 shared papers)Seok‐Hwan Kim (3 shared papers)Hyuk Soo Eun (3 shared papers)
- Journals
- Frontiers in Pharmacology (2 papers)Antioxidants (2 papers)Hepatology (2 papers)International Journal of Molecular Sciences (2 papers)Clinical and Molecular Hepatology (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Tom Ryu
20 papers receiving 253 citations
Peers
Comparison fields: 5 of 58
- Hepatology 45
- Cancer Research 55
- Pathology and Forensic Medicine 49
- Epidemiology 89
- Immunology 53
Countries citing papers authored by Tom Ryu
This map shows the geographic impact of Tom Ryu'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 Tom Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Ryu more than expected).
Fields of papers citing papers by Tom Ryu
This network shows the impact of papers produced by Tom Ryu. 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 Tom Ryu. The network helps show where Tom Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Ryu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 98 | |
| 2 | 2021 | 46 | |
| 3 | 2020 | 24 | |
| 4 | 2021 | 18 | |
| 5 | 2023 | 11 | |
| 6 | 2025 | 10 | |
| 7 | 2020 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2019 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Tom Ryu
Tom Ryu is a scholar working on Epidemiology, Pathology and Forensic Medicine, Physiology, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 26 papers that have together received 256 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Alcohol Consumption and Health Effects (9 papers), Diet and metabolism studies (4 papers), Diet, Metabolism, and Disease (4 papers), Liver Disease and Transplantation (2 papers), Adipose Tissue and Metabolism (1 paper), Liver Diseases and Immunity (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Hepatology (45 citations), Cancer Research (55 citations), Pathology and Forensic Medicine (49 citations), Epidemiology (89 citations) and Immunology (53 citations). Tom Ryu has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Keungmo Yang, Won‐Il Jeong, Young‐Ri Shim, Hee‐Hoon Kim, Jun Hee Lee, Ye Eun Kim, Seok‐Hwan Kim, Hyuk Soo Eun, Won‐Mook Choi and Jong‐Min Jeong. Their work appears in journals such as Frontiers in Pharmacology, Antioxidants, Hepatology, 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.