Eugene Han
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
Papers in
- Epidemiology 17
- Liver Disease Diagnosis and Treatment 16
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- Metabolism, Diabetes, and Cancer 5
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Yong‐ho Lee (36 shared papers)Eun Seok Kang (29 shared papers)Byung‐Wan Lee (28 shared papers)Bong Soo (24 shared papers)Gyuri Kim (10 shared papers)Eri S. Srivatsan (2 shared papers)Mysore S. Veena (2 shared papers)Marilene B. Wang (2 shared papers)
- Journals
- Medicine (5 papers)Diabetes & Metabolism Journal (5 papers)Cardiovascular Diabetology (4 papers)Gut and Liver (4 papers)Metabolism (3 papers)
- Partner nations
- South KoreaUnited StatesIsrael
In The Last Decade
Eugene Han
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Molecular Medicine 137
- Endocrinology, Diabetes and Metabolism 290
- Nephrology 125
- Epidemiology 397
- Hepatology 79
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 107 | |
| 2 | 2010 | 107 | |
| 3 | 2015 | 91 | |
| 4 | 2020 | 87 | |
| 5 | 2016 | 78 | |
| 6 | 2021 | 65 | |
| 7 | 2017 | 64 | |
| 8 | 2020 | 59 | |
| 9 | 2016 | 58 | |
| 10 | 2016 | 52 | |
| 11 | 2017 | 49 | |
| 12 | 2016 | 47 | |
| 13 | 2019 | 39 | |
| 14 | 2018 | 35 | |
| 15 | 2022 | 35 | |
| 16 | 2015 | 35 | |
| 17 | 2016 | 34 | |
| 18 | 2016 | 31 | |
| 19 | 2018 | 31 | |
| 20 | 2017 | 30 |
About Eugene Han
Eugene Han is a scholar working on Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Diabetes Treatment and Management (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Nutrition and Health in Aging (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Diabetes and associated disorders (2 papers), Liver physiology and pathology (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Molecular Medicine (137 citations), Endocrinology, Diabetes and Metabolism (290 citations), Nephrology (125 citations), Epidemiology (397 citations) and Hepatology (79 citations). Eugene Han has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Yong‐ho Lee, Eun Seok Kang, Byung‐Wan Lee, Bong Soo, Gyuri Kim, Eri S. Srivatsan, Mysore S. Veena, Marilene B. Wang, Seung Up Kim and Sang Hoon Ahn. Their work appears in journals such as Medicine, Diabetes & Metabolism Journal, Cardiovascular Diabetology, Gut and Liver and Metabolism.
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.