Seongwon Cha
Impact in
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- Traditional Chinese Medicine Studies
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- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
Papers in
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- Plant biochemistry and biosynthesis 4
- Muscle Physiology and Disorders 3
- Genetics 9
- Genetic Associations and Epidemiology 7
- Co-authors
- Jong Yeol Kim (11 shared papers)Ah Yeon Park (7 shared papers)Sang‐Min Park (10 shared papers)Hyoung Doo Shin (3 shared papers)Sun Mi Choi (3 shared papers)Aeyung Kim (9 shared papers)Kwang Hoon Song (3 shared papers)Haeseung Lee (8 shared papers)
- Journals
- PLoS ONE (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)BMC Complementary and Alternative Medicine (3 papers)Scientific Data (2 papers)International Journal of Biometeorology (2 papers)
- Partner nations
- South KoreaVietnamPuerto Rico
In The Last Decade
Seongwon Cha
41 papers receiving 581 citations
Peers
Comparison fields: 5 of 86
- Complementary and alternative medicine 121
- Genetics 130
- Pharmacology 39
- Cancer Research 50
- Rheumatology 39
Countries citing papers authored by Seongwon Cha
This map shows the geographic impact of Seongwon Cha'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 Seongwon Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongwon Cha more than expected).
Fields of papers citing papers by Seongwon Cha
This network shows the impact of papers produced by Seongwon Cha. 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 Seongwon Cha. The network helps show where Seongwon Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Seongwon Cha, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 94 | |
| 2 | 2018 | 46 | |
| 3 | 2007 | 38 | |
| 4 | 2011 | 34 | |
| 5 | 2009 | 32 | |
| 6 | 2022 | 27 | |
| 7 | 2009 | 21 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2013 | 17 | |
| 12 | 2012 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2014 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2024 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2015 | 10 |
About Seongwon Cha
Seongwon Cha is a scholar working on Molecular Biology, Genetics, Pharmacology, Complementary and alternative medicine and Cell Biology, having authored 42 papers that have together received 591 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Pharmacological Effects of Natural Compounds (5 papers), Traditional Chinese Medicine Studies (5 papers), Plant biochemistry and biosynthesis (4 papers), melanin and skin pigmentation (3 papers), Traditional Chinese Medicine Analysis (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Complementary and alternative medicine (121 citations), Genetics (130 citations), Pharmacology (39 citations), Cancer Research (50 citations) and Rheumatology (39 citations). Seongwon Cha has collaborated with scholars based in South Korea, Vietnam and Puerto Rico. Frequent co-authors include Jong Yeol Kim, Ah Yeon Park, Sang‐Min Park, Hyoung Doo Shin, Sun Mi Choi, Aeyung Kim, Kwang Hoon Song, Haeseung Lee, Jin-Mu Yi and Su‐Jin Baek. Their work appears in journals such as PLoS ONE, Evidence-based Complementary and Alternative Medicine, BMC Complementary and Alternative Medicine, Scientific Data and International Journal of Biometeorology.
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.