Sun‐O Ka
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Physiology top 5%
- Adipose Tissue and Metabolism
- Biochemical effects in animals
Papers in
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- FOXO transcription factor regulation 3
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- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Byung‐Hyun Park (20 shared papers)Eun Ju Bae (9 shared papers)Mi‐Young Song (4 shared papers)Youngyi Lee (4 shared papers)Sang‐Il Lee (3 shared papers)In Hyuk Bang (2 shared papers)Jin‐Woo Park (3 shared papers)Kang‐Beom Kwon (5 shared papers)
- Journals
- Experimental & Molecular Medicine (4 papers)European Journal of Pharmacology (2 papers)Journal of Endocrinology (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sun‐O Ka
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Geriatrics and Gerontology 240
- Physiology 69
- Endocrinology, Diabetes and Metabolism 122
- Physiology 189
- Molecular Biology 498
Countries citing papers authored by Sun‐O Ka
This map shows the geographic impact of Sun‐O Ka'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 Sun‐O Ka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐O Ka more than expected).
Fields of papers citing papers by Sun‐O Ka
This network shows the impact of papers produced by Sun‐O Ka. 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 Sun‐O Ka. The network helps show where Sun‐O Ka may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun‐O Ka, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 98 | |
| 2 | 2017 | 94 | |
| 3 | 2014 | 93 | |
| 4 | 2017 | 82 | |
| 5 | 2016 | 68 | |
| 6 | 2007 | 66 | |
| 7 | 2017 | 63 | |
| 8 | 2010 | 57 | |
| 9 | 2014 | 55 | |
| 10 | 2013 | 46 | |
| 11 | 2016 | 46 | |
| 12 | 2007 | 45 | |
| 13 | 2014 | 42 | |
| 14 | 2016 | 31 | |
| 15 | 2007 | 27 | |
| 16 | 2016 | 26 | |
| 17 | 2016 | 20 | |
| 18 | 2015 | 19 | |
| 19 | 2014 | 17 | |
| 20 | 2017 | 17 |
About Sun‐O Ka
Sun‐O Ka is a scholar working on Molecular Biology, Epidemiology, Surgery, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (5 papers), Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers), FOXO transcription factor regulation (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Liver Disease and Transplantation (2 papers), Diet, Metabolism, and Disease (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Geriatrics and Gerontology (240 citations), Physiology (69 citations), Endocrinology, Diabetes and Metabolism (122 citations), Physiology (189 citations) and Molecular Biology (498 citations). Sun‐O Ka has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Byung‐Hyun Park, Eun Ju Bae, Mi‐Young Song, Youngyi Lee, Sang‐Il Lee, In Hyuk Bang, Jin‐Woo Park, Kang‐Beom Kwon, Sang‐Myeong Lee and Zheng Wang. Their work appears in journals such as Experimental & Molecular Medicine, European Journal of Pharmacology, Journal of Endocrinology, PLoS ONE and Scientific Reports.
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.