Ki-Won Oh
Impact in
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- Diet, Metabolism, and Disease
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Soybean genetics and cultivation 18
- Peanut Plant Research Studies 10
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- Metabolism, Diabetes, and Cancer 5
- Co-authors
- Won‐Young Lee (66 shared papers)Eun‐Jung Rhee (61 shared papers)Cheol‐Young Park (48 shared papers)Se Eun Park (39 shared papers)Sung‐Woo Park (20 shared papers)Sun-Woo Kim (19 shared papers)Jinmi Lee (7 shared papers)Seok‐Woo Hong (7 shared papers)
- Journals
- PLoS ONE (6 papers)Diabetes Research and Clinical Practice (6 papers)Metabolism (4 papers)Agronomy (3 papers)International Journal of Cardiology (3 papers)
- Partner nations
- South KoreaUnited StatesGhana
In The Last Decade
Ki-Won Oh
121 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Endocrinology, Diabetes and Metabolism 485
- Epidemiology 537
- Geriatrics and Gerontology 47
- Nephrology 80
- Cardiology and Cardiovascular Medicine 225
Countries citing papers authored by Ki-Won Oh
This map shows the geographic impact of Ki-Won Oh'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 Ki-Won Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki-Won Oh more than expected).
Fields of papers citing papers by Ki-Won Oh
This network shows the impact of papers produced by Ki-Won Oh. 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 Ki-Won Oh. The network helps show where Ki-Won Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ki-Won Oh, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 135 | |
| 2 | 2010 | 108 | |
| 3 | 2016 | 97 | |
| 4 | 2009 | 76 | |
| 5 | 2013 | 75 | |
| 6 | 2005 | 73 | |
| 7 | 2008 | 70 | |
| 8 | 2006 | 67 | |
| 9 | 2010 | 61 | |
| 10 | 2015 | 60 | |
| 11 | 2014 | 50 | |
| 12 | 2014 | 49 | |
| 13 | 2019 | 48 | |
| 14 | 2014 | 47 | |
| 15 | 2009 | 44 | |
| 16 | 2006 | 41 | |
| 17 | 2015 | 41 | |
| 18 | 2021 | 36 | |
| 19 | 2017 | 36 | |
| 20 | 2020 | 34 |
About Ki-Won Oh
Ki-Won Oh is a scholar working on Plant Science, Molecular Biology, Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 132 papers that have together received 2.3k indexed citations. Recurring topics across this work include Soybean genetics and cultivation (18 papers), Agriculture, Soil, Plant Science (11 papers), Natural Products and Biological Research (10 papers), Peanut Plant Research Studies (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Coconut Research and Applications (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (485 citations), Epidemiology (537 citations), Geriatrics and Gerontology (47 citations), Nephrology (80 citations) and Cardiology and Cardiovascular Medicine (225 citations). Ki-Won Oh has collaborated with scholars based in South Korea, United States and Ghana. Frequent co-authors include Won‐Young Lee, Eun‐Jung Rhee, Cheol‐Young Park, Se Eun Park, Sung‐Woo Park, Sun-Woo Kim, Jinmi Lee, Seok‐Woo Hong, Chan‐Hee Jung and Heung‐Woo Park. Their work appears in journals such as PLoS ONE, Diabetes Research and Clinical Practice, Metabolism, Agronomy and International Journal of Cardiology.
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.