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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- Traditional Chinese Medicine Analysis 12
- Traditional Chinese Medicine Studies 5
- Neurology 14
- Neuroinflammation and Neurodegeneration Mechanisms 11
- Neurological Disease Mechanisms and Treatments 10
Chi‐Yeon Lim
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 136
- Complementary and alternative medicine 149
- Pharmacology 105
- Biological Psychiatry 24
- Gastroenterology 52
- Dermatology 83
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 28 | |
| 14 | 2017 | 7 | |
| 15 | 2016 | 35 | |
| 16 | 2015 | 2 | |
| 17 | 2014 | 63 | |
| 18 | Impact of GNB3, ADRB3, UCP2, and PPAR${\gamma}$-Pro12Ala polymorphisms on Boiogito response in obese subjects : A randomized, double-blind, placebo-controlled trial | 2012 | 3 |
| 19 | The Statistical Considerations for Superiority Trial | 2011 | 1 |
| 20 | Efficacy and Adverse Events of Bangpungtongseong-san (Bofutsusho-san ) and Bangkihwangki-tang(Boiogiot-tang ) by Oriental Obesity Pattern Identification on Obese Subjects: Randomized, Double Blind, Placebo-controlled Trial | 2011 | 9 |
About Chi‐Yeon Lim
Chi‐Yeon Lim is a scholar working on Complementary and alternative medicine, Neurology, Pharmacology, Biological Psychiatry and Dermatology, having authored 94 papers that have together received 1.3k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neurological Disease Mechanisms and Treatments (10 papers), Pharmacological Effects of Natural Compounds (9 papers), Statistical Methods in Clinical Trials (5 papers), Traditional Chinese Medicine Studies (5 papers), Ginseng Biological Effects and Applications (5 papers) and Natural product bioactivities and synthesis (5 papers). The work is most often cited by research in Complementary and alternative medicine (149 citations), Pharmacology (105 citations), Biological Psychiatry (24 citations), Gastroenterology (52 citations) and Dermatology (83 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, Won‐Seok Chung, Bu‐Yeo Kim and Jung‐Hoon Kim. Their work appears in journals such as Pharmacognosy Magazine, Korean journal of anesthesiology, Trials, Pharmaceutical Biology and Chinese 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.