Chi‐Yeon Lim
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Natural product bioactivities and synthesis 4
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- Traditional Chinese Medicine Analysis 6
- Traditional Chinese Medicine Studies 4
- Co-authors
- Junyong In (3 shared papers)Su‐In Cho (36 shared papers)Kwan Lee (1 shared paper)Hojun Kim (8 shared papers)Shambhunath Bose (6 shared papers)Hyungwoo Kim (7 shared papers)Jae‐Gu Seo (2 shared papers)Bu‐Yeo Kim (10 shared papers)
- Journals
- Pharmacognosy Magazine (7 papers)Korean journal of anesthesiology (5 papers)Trials (4 papers)Chinese Medicine (3 papers)Pharmaceutical Biology (3 papers)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Chi‐Yeon Lim
86 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Complementary and alternative medicine 122
- Pharmacology 87
- Biological Psychiatry 18
- Gastroenterology 37
- Dermatology 55
Countries citing papers authored by Chi‐Yeon Lim
This map shows the geographic impact of Chi‐Yeon Lim'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 Chi‐Yeon Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Yeon Lim more than expected).
Fields of papers citing papers by Chi‐Yeon Lim
This network shows the impact of papers produced by Chi‐Yeon Lim. 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 Chi‐Yeon Lim. The network helps show where Chi‐Yeon Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi‐Yeon Lim, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 171 | |
| 2 | 2014 | 128 | |
| 3 | 2021 | 118 | |
| 4 | 2019 | 85 | |
| 5 | 2016 | 74 | |
| 6 | 2014 | 66 | |
| 7 | 2014 | 41 | |
| 8 | 2020 | 40 | |
| 9 | 2016 | 35 | |
| 10 | 2021 | 30 | |
| 11 | 2019 | 28 | |
| 12 | 2013 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2016 | 21 | |
| 15 | 2017 | 19 | |
| 16 | 2013 | 17 | |
| 17 | 2018 | 17 | |
| 18 | 2018 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2015 | 15 |
About Chi‐Yeon Lim
Chi‐Yeon Lim is a scholar working on Molecular Biology, Complementary and alternative medicine, Neurology, Physiology and Pharmacology, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Pharmacological Effects of Natural Compounds (7 papers), Traditional Chinese Medicine Analysis (6 papers), Statistical Methods in Clinical Trials (5 papers), Phytochemistry and Biological Activities (4 papers), Traditional Chinese Medicine Studies (4 papers) and Natural product bioactivities and synthesis (4 papers). The work is most often cited by research in Complementary and alternative medicine (122 citations), Pharmacology (87 citations), Biological Psychiatry (18 citations), Gastroenterology (37 citations) and Dermatology (55 citations). Chi‐Yeon Lim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Junyong In, Su‐In Cho, Kwan Lee, Hojun Kim, Shambhunath Bose, Hyungwoo Kim, Jae‐Gu Seo, Bu‐Yeo Kim, Won‐Seok Chung and You Jeong Kim. Their work appears in journals such as Pharmacognosy Magazine, Korean journal of anesthesiology, Trials, Chinese Medicine and Pharmaceutical Biology.
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.