Eugene Han
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- Diet, Metabolism, and Disease
- Diabetes Treatment and Management
Papers in
- Epidemiology 29
- Liver Disease Diagnosis and Treatment 25
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- Diabetes Treatment and Management 13
- Diabetes Management and Research 7
- Diet, Metabolism, and Disease 6
- Co-authors
- Yong‐ho Lee (35 shared papers)Eun Seok Kang (28 shared papers)Byung‐Wan Lee (27 shared papers)Bong Soo (23 shared papers)Gyuri Kim (10 shared papers)Marilene B. Wang (2 shared papers)Eri S. Srivatsan (2 shared papers)Sang Hoon Ahn (7 shared papers)
- Journals
- Diabetes & Metabolism Journal (5 papers)Medicine (5 papers)Cardiovascular Diabetology (4 papers)Gut and Liver (4 papers)Journal of Diabetes and its Complications (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Eugene Han
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Molecular Medicine 131
- Endocrinology, Diabetes and Metabolism 408
- Hepatology 149
- Nephrology 127
- Epidemiology 504
Countries citing papers authored by Eugene Han
This map shows the geographic impact of Eugene Han'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 Eugene Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Han more than expected).
Fields of papers citing papers by Eugene Han
This network shows the impact of papers produced by Eugene Han. 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 Eugene Han. The network helps show where Eugene Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Han, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 99 | |
| 2 | 2011 | 96 | |
| 3 | 2015 | 86 | |
| 4 | 2020 | 84 | |
| 5 | 2016 | 77 | |
| 6 | 2017 | 62 | |
| 7 | 2021 | 61 | |
| 8 | 2020 | 59 | |
| 9 | 2016 | 58 | |
| 10 | 2016 | 51 | |
| 11 | 2017 | 44 | |
| 12 | 2016 | 41 | |
| 13 | 2019 | 38 | |
| 14 | 2015 | 35 | |
| 15 | 2018 | 33 | |
| 16 | 2022 | 33 | |
| 17 | 2016 | 32 | |
| 18 | 2018 | 31 | |
| 19 | 2017 | 29 | |
| 20 | 2016 | 29 |
About Eugene Han
Eugene Han is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology and Hepatology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (25 papers), Diabetes Treatment and Management (13 papers), Nutrition and Health in Aging (11 papers), Diabetes Management and Research (7 papers), Alcohol Consumption and Health Effects (7 papers), Liver Disease and Transplantation (7 papers), Diet, Metabolism, and Disease (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Molecular Medicine (131 citations), Endocrinology, Diabetes and Metabolism (408 citations), Hepatology (149 citations), Nephrology (127 citations) and Epidemiology (504 citations). Eugene Han has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Yong‐ho Lee, Eun Seok Kang, Byung‐Wan Lee, Bong Soo, Gyuri Kim, Marilene B. Wang, Eri S. Srivatsan, Sang Hoon Ahn, Seung Up Kim and Mysore S. Veena. Their work appears in journals such as Diabetes & Metabolism Journal, Medicine, Cardiovascular Diabetology, Gut and Liver and Journal of Diabetes and its Complications.
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.