Sunmi Seok
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Fibroblast Growth Factor Research 8
- Epigenetics and DNA Methylation 5
- Kruppel-like factors research 3
- Peroxisome Proliferator-Activated Receptors 2
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- Autophagy in Disease and Therapy 6
- Co-authors
- Jongsook Kim Kemper (22 shared papers)Byron Kemper (18 shared papers)Ting Fu (5 shared papers)H. Eric Xu (6 shared papers)Jian Ma (8 shared papers)Young‐Chae Kim (12 shared papers)Yup Kang (3 shared papers)Sung‐E Choi (4 shared papers)
- Journals
- Nature Communications (3 papers)Hepatology (3 papers)Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (2 papers)Gastroenterology (2 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Sunmi Seok
22 papers receiving 1.7k citations
Sunmi Seok's Hit Papers
Peers
Comparison fields: 5 of 77
- Geriatrics and Gerontology 150
- Cancer Research 307
- Epidemiology 640
- Physiology 358
- Aging 25
Countries citing papers authored by Sunmi Seok
This map shows the geographic impact of Sunmi Seok'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 Sunmi Seok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunmi Seok more than expected).
Fields of papers citing papers by Sunmi Seok
This network shows the impact of papers produced by Sunmi Seok. 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 Sunmi Seok. The network helps show where Sunmi Seok may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunmi Seok, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transcriptional regulation of autophagy by an FXR–CREB axis Hit paper breakdown → | 2014 | 347 |
| 2 | 2013 | 212 | |
| 3 | 2020 | 170 | |
| 4 | 2014 | 158 | |
| 5 | 2012 | 130 | |
| 6 | 2017 | 87 | |
| 7 | 2012 | 67 | |
| 8 | 2018 | 67 | |
| 9 | 2020 | 57 | |
| 10 | 2018 | 53 | |
| 11 | 2018 | 49 | |
| 12 | 2015 | 45 | |
| 13 | 2017 | 40 | |
| 14 | 2013 | 38 | |
| 15 | 2014 | 37 | |
| 16 | 2015 | 33 | |
| 17 | 2019 | 29 | |
| 18 | 2020 | 24 | |
| 19 | 2022 | 17 | |
| 20 | 2022 | 12 |
About Sunmi Seok
Sunmi Seok is a scholar working on Molecular Biology, Epidemiology, Physiology, Oncology and Geriatrics and Gerontology, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (8 papers), Adipose Tissue and Metabolism (6 papers), Autophagy in Disease and Therapy (6 papers), Epigenetics and DNA Methylation (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Kruppel-like factors research (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Geriatrics and Gerontology (150 citations), Cancer Research (307 citations), Epidemiology (640 citations), Physiology (358 citations) and Aging (25 citations). Sunmi Seok has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Jongsook Kim Kemper, Byron Kemper, Ting Fu, H. Eric Xu, Jian Ma, Young‐Chae Kim, Yup Kang, Sung‐E Choi, Sangwon Byun and Kelly Suino-Powell. Their work appears in journals such as Nature Communications, Hepatology, Journal of Biological Chemistry, Molecular and Cellular Biology and Gastroenterology.
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.