Insu Kwon
Impact in
- Biological Psychiatry top 10%
- Geriatrics and Gerontology top 10%
Papers in
- Epidemiology 15
- Autophagy in Disease and Therapy 13
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- Muscle Physiology and Disorders 6
- Mitochondrial Function and Pathology 4
- Co-authors
- Youngil Lee (16 shared papers)Yongchul Jang (10 shared papers)Ludmila Cosío-Lima (8 shared papers)Joon‐Yong Cho (7 shared papers)Eun‐Bum Kang (4 shared papers)Wankeun Song (5 shared papers)Jung‐Hoon Koo (4 shared papers)Yong‐Woo Lee (2 shared papers)
- Journals
- Medicine & Science in Sports & Exercise (3 papers)The FASEB Journal (2 papers)Journal of Molecular Neuroscience (1 paper)Neuroscience (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Insu Kwon
29 papers receiving 531 citations
Peers
Comparison fields: 5 of 79
- Biological Psychiatry 35
- Geriatrics and Gerontology 36
- Neurology 69
- Physiology 211
- Neurology 105
Countries citing papers authored by Insu Kwon
This map shows the geographic impact of Insu Kwon'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 Insu Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Insu Kwon more than expected).
Fields of papers citing papers by Insu Kwon
This network shows the impact of papers produced by Insu Kwon. 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 Insu Kwon. The network helps show where Insu Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Insu Kwon, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 101 | |
| 2 | 2016 | 76 | |
| 3 | 2018 | 46 | |
| 4 | 2019 | 35 | |
| 5 | 2017 | 31 | |
| 6 | 2017 | 28 | |
| 7 | 2019 | 26 | |
| 8 | 2015 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2015 | 19 | |
| 13 | 2019 | 19 | |
| 14 | 2020 | 15 | |
| 15 | 2011 | 13 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2024 | 5 |
About Insu Kwon
Insu Kwon is a scholar working on Epidemiology, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 30 papers that have together received 540 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (13 papers), Adipose Tissue and Metabolism (7 papers), Muscle Physiology and Disorders (6 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Mitochondrial Function and Pathology (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Geriatrics and Gerontology (36 citations), Neurology (69 citations), Physiology (211 citations) and Neurology (105 citations). Insu Kwon has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Youngil Lee, Yongchul Jang, Ludmila Cosío-Lima, Joon‐Yong Cho, Eun‐Bum Kang, Wankeun Song, Jung‐Hoon Koo, Yong‐Woo Lee, Hideaki Soya and Chul‐Hyun Kim. Their work appears in journals such as Medicine & Science in Sports & Exercise, The FASEB Journal, Journal of Molecular Neuroscience, Neuroscience and Brain Research.
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.