Seongwon Cha
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- Traditional Chinese Medicine Studies 5
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- Genetic Associations and Epidemiology 10
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds 6
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- Exercise and Physiological Responses 5
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- Lipid metabolism and disorders 4
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- melanin and skin pigmentation 4
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- Plant biochemistry and biosynthesis 4
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Co-authors
- Jong Yeol KimAh Yeon ParkHyoung Doo ShinSun Mi ChoiSang‐Min ParkKwang Hoon SongAeyung KimHaeseung Lee
- Journals
- PLoS ONE (3 papers)BMC Complementary and Alternative Medicine (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)
- Partner nations
- South KoreaVietnamFrance
In The Last Decade
Seongwon Cha
40 papers receiving 555 citations
Peers
Comparison fields: 5 of 95
- Complementary and alternative medicine 123
- Genetics 172
- Pharmacology 47
- Cancer Research 68
- Dermatology 27
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 3 | |
| 13 | 2017 | 12 | |
| 14 | 2017 | 15 | |
| 15 | 2017 | 12 | |
| 16 | An analysis of the relationship between the Cold pattern and Anthropometry, Bio Impedance Analysis (BIA) and Quality of Life in Jeju Haenyeo | 2016 | 2 |
| 17 | 2015 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2009 | 21 |
About Seongwon Cha
Seongwon Cha is a scholar working on Pharmacology, Rehabilitation and Complementary and alternative medicine, having authored 41 papers that have together received 565 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Pharmacological Effects of Natural Compounds (6 papers), Traditional Chinese Medicine Studies (5 papers), Exercise and Physiological Responses (5 papers), Lipid metabolism and disorders (4 papers), melanin and skin pigmentation (4 papers), Plant biochemistry and biosynthesis (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Complementary and alternative medicine (123 citations), Genetics (172 citations) and Pharmacology (47 citations). Seongwon Cha has collaborated with scholars based in South Korea, Vietnam and France. Frequent co-authors include Jong Yeol Kim, Ah Yeon Park, Hyoung Doo Shin, Sun Mi Choi, Sang‐Min Park, Kwang Hoon Song, Aeyung Kim, Haeseung Lee, Changsoo Kang and Jin-Mu Yi. Their work appears in journals such as PLoS ONE, BMC Complementary and Alternative Medicine, Evidence-based 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.