Sunmin Park
Impact in
- Biological Psychiatry top 2%
-
- Natural Antidiabetic Agents Studies
- Diet, Metabolism, and Disease
Papers in
-
- Gut microbiota and health 28
- Physiology 74
- Diet and metabolism studies 33
- Co-authors
- Suna Kang (76 shared papers)James W. Daily (37 shared papers)Da Sol Kim (47 shared papers)Dae Young Kwon (30 shared papers)Soo Bong Choi (12 shared papers)Xuangao Wu (47 shared papers)Hye Jeong Yang (46 shared papers)Sang Mee Hong (19 shared papers)
- Journals
- Nutrients (35 papers)International Journal of Molecular Sciences (16 papers)Nutrition (11 papers)Journal of Ethnic Foods (10 papers)Experimental Biology and Medicine (8 papers)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Sunmin Park
424 papers receiving 9.7k citations
Peers
Comparison fields: 5 of 181
- Biological Psychiatry 217
- Endocrinology, Diabetes and Metabolism 1.3k
- Biochemistry 495
- Physiology 1.7k
- Pathology and Forensic Medicine 1.1k
Countries citing papers authored by Sunmin Park
This map shows the geographic impact of Sunmin Park'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 Sunmin Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunmin Park more than expected).
Fields of papers citing papers by Sunmin Park
This network shows the impact of papers produced by Sunmin Park. 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 Sunmin Park. The network helps show where Sunmin Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunmin Park, 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 445 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 327 | |
| 2 | 2016 | 301 | |
| 3 | 2005 | 170 | |
| 4 | 2005 | 131 | |
| 5 | 2009 | 131 | |
| 6 | 2015 | 123 | |
| 7 | 2020 | 119 | |
| 8 | 2014 | 115 | |
| 9 | 2010 | 104 | |
| 10 | 2004 | 100 | |
| 11 | 2010 | 98 | |
| 12 | 2019 | 95 | |
| 13 | 2013 | 95 | |
| 14 | 2012 | 89 | |
| 15 | 2014 | 87 | |
| 16 | 2013 | 83 | |
| 17 | 2008 | 80 | |
| 18 | 2019 | 79 | |
| 19 | 2015 | 78 | |
| 20 | 2007 | 78 |
About Sunmin Park
Sunmin Park is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Food Science, having authored 445 papers that have together received 10.1k indexed citations. Recurring topics across this work include Diet and metabolism studies (33 papers), Phytoestrogen effects and research (32 papers), Food Quality and Safety Studies (28 papers), Gut microbiota and health (28 papers), Diet, Metabolism, and Disease (24 papers), Nutritional Studies and Diet (20 papers), Regulation of Appetite and Obesity (18 papers) and Nutrition, Health and Food Behavior (17 papers). The work is most often cited by research in Biological Psychiatry (217 citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Biochemistry (495 citations), Physiology (1.7k citations) and Pathology and Forensic Medicine (1.1k citations). Sunmin Park has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Suna Kang, James W. Daily, Da Sol Kim, Dae Young Kwon, Soo Bong Choi, Xuangao Wu, Hye Jeong Yang, Sang Mee Hong, Jin Sun Jang and Byung-Kook Lee. Their work appears in journals such as Nutrients, International Journal of Molecular Sciences, Nutrition, Journal of Ethnic Foods and Experimental Biology and Medicine.
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.