Tom Ryu
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Liver Disease and Transplantation
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- MicroRNA in disease regulation
Papers in
- Epidemiology 16
- Liver Disease Diagnosis and Treatment 15
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- Alcohol Consumption and Health Effects 10
- Co-authors
- Keungmo Yang (17 shared papers)Won‐Il Jeong (5 shared papers)Jun Hee Lee (3 shared papers)Ye Eun Kim (3 shared papers)Hee‐Hoon Kim (4 shared papers)Hyuk Soo Eun (3 shared papers)Seok‐Hwan Kim (3 shared papers)Won‐Mook Choi (2 shared papers)
- Journals
- Hepatology (2 papers)Clinical and Molecular Hepatology (2 papers)Antioxidants (2 papers)Frontiers in Pharmacology (2 papers)Nutrients (2 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Tom Ryu
19 papers receiving 234 citations
Peers
Comparison fields: 5 of 57
- Hepatology 52
- Cancer Research 56
- Immunology 61
- Epidemiology 98
- Pathology and Forensic Medicine 48
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 96 | |
| 2 | 2021 | 46 | |
| 3 | 2020 | 23 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 10 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2025 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Tom Ryu
Tom Ryu is a scholar working on Epidemiology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Hepatology, having authored 25 papers that have together received 237 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Alcohol Consumption and Health Effects (10 papers), Diet, Metabolism, and Disease (6 papers), Diet and metabolism studies (4 papers), Liver Disease and Transplantation (4 papers), Immune Cell Function and Interaction (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Hepatology (52 citations), Cancer Research (56 citations), Immunology (61 citations), Epidemiology (98 citations) and Pathology and Forensic Medicine (48 citations). Tom Ryu has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Keungmo Yang, Won‐Il Jeong, Jun Hee Lee, Ye Eun Kim, Hee‐Hoon Kim, Hyuk Soo Eun, Seok‐Hwan Kim, Won‐Mook Choi, Jong‐Min Jeong and Je‐Hyun Yoon. Their work appears in journals such as Hepatology, Clinical and Molecular Hepatology, Antioxidants, Frontiers in Pharmacology and Nutrients.
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.