Yeonhee Ryu

1.6k total citations
104 papers, 1.2k citations indexed

About

Yeonhee Ryu is a scholar working on Complementary and alternative medicine, Physiology and Pharmacology. According to data from OpenAlex, Yeonhee Ryu has authored 104 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Complementary and alternative medicine, 32 papers in Physiology and 28 papers in Pharmacology. Recurrent topics in Yeonhee Ryu's work include Acupuncture Treatment Research Studies (61 papers), Pain Mechanisms and Treatments (30 papers) and Healthcare and Venom Research (27 papers). Yeonhee Ryu is often cited by papers focused on Acupuncture Treatment Research Studies (61 papers), Pain Mechanisms and Treatments (30 papers) and Healthcare and Venom Research (27 papers). Yeonhee Ryu collaborates with scholars based in South Korea, United States and China. Yeonhee Ryu's co-authors include Younbyoung Chae, Chae Ha Yang, Hee Young Kim, Bong Hyo Lee, Suchan Chang, Hi‐Joon Park, Scott C. Steffensen, Ye‐Seul Lee, In‐Seon Lee and Ji‐Eun Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yeonhee Ryu

99 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yeonhee Ryu South Korea 20 651 331 261 234 179 104 1.2k
Bong Hyo Lee South Korea 22 546 0.8× 360 1.1× 263 1.0× 204 0.9× 362 2.0× 91 1.2k
Shenbin Liu China 20 550 0.8× 602 1.8× 158 0.6× 135 0.6× 202 1.1× 28 1.7k
Seung‐Nam Kim South Korea 21 464 0.7× 168 0.5× 95 0.4× 263 1.1× 141 0.8× 60 1.4k
Cheng‐Hao Tu Taiwan 17 313 0.5× 280 0.8× 316 1.2× 231 1.0× 41 0.2× 41 1.2k
Sujung Yeo South Korea 19 348 0.5× 143 0.4× 319 1.2× 92 0.4× 96 0.5× 65 1.1k
Xiehua Xue China 18 292 0.4× 257 0.8× 196 0.8× 104 0.4× 76 0.4× 35 1.1k
Ji-Yeun Park South Korea 18 429 0.7× 139 0.4× 66 0.3× 181 0.8× 104 0.6× 54 875
Franco Melis Italy 23 527 0.8× 154 0.5× 153 0.6× 75 0.3× 439 2.5× 44 1.4k
Ming Yi China 22 140 0.2× 462 1.4× 224 0.9× 131 0.6× 368 2.1× 61 1.1k
Xiao-Ding Cao China 16 260 0.4× 357 1.1× 121 0.5× 85 0.4× 372 2.1× 43 971

Countries citing papers authored by Yeonhee Ryu

Since Specialization
Citations

This map shows the geographic impact of Yeonhee Ryu'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 Yeonhee Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeonhee Ryu more than expected).

Fields of papers citing papers by Yeonhee Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeonhee Ryu. 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 Yeonhee Ryu. The network helps show where Yeonhee Ryu may publish in the future.

Co-authorship network of co-authors of Yeonhee Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Yeonhee Ryu. A scholar is included among the top collaborators of Yeonhee Ryu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yeonhee Ryu. Yeonhee Ryu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ryu, Yeonhee, et al.. (2025). Performance of GPT-4 for planning acupuncture treatment: comparison with human clinician performance. Frontiers in Medicine. 12. 1632303–1632303.
2.
Ryu, Yeonhee, et al.. (2025). Beyond Needling: Integrating a Bayesian Brain Model into Acupuncture Treatment. Brain Sciences. 15(2). 192–192. 1 indexed citations
3.
Park, Ji-Yeun, Jae‐Hwan Jang, Songhee Jeon, et al.. (2024). Peripheral Rho-associated protein kinase activation mediates acupuncture analgesia. Integrative Medicine Research. 13(3). 101051–101051. 3 indexed citations
4.
Ryu, Yeonhee, et al.. (2024). Principle of major acupoints composition: focus on Four Command and Star Twelve points. Journal of Korean Medicine. 45(3). 235–242. 1 indexed citations
5.
Choi, Kwang‐Ho, et al.. (2023). What is the analgesic range of acupuncture stimulus for treating acute pain?. Frontiers in Human Neuroscience. 17. 1281832–1281832. 2 indexed citations
6.
Ryu, Yeonhee, et al.. (2023). Eight Confluent Acupoint Combinations Patterns: Data Mining and Network Analysis. Korean Journal of Acupuncture. 40(4). 177–183.
7.
Chang, Suchan, Yeonhee Ryu, Bong Hyo Lee, et al.. (2023). Mediation of mPFC‐LHb pathway in acupuncture inhibition of cocaine psychomotor activity. Addiction Biology. 28(10). e13321–e13321. 3 indexed citations
8.
Choi, Kwang‐Ho, et al.. (2022). Biopotential changes of acupuncture points by acupuncture stimulation. Integrative Medicine Research. 11(3). 100871–100871. 2 indexed citations
9.
Ryu, Yeonhee, et al.. (2022). Characterizing the Stimulation Intensity in Acupuncture Manipulation Techniques for Tonification and Sedation Therapy. Korean Journal of Acupuncture. 39(3). 91–96. 1 indexed citations
10.
Kang, Suk-Yun, et al.. (2020). The effect of acupuncture stimulation on alleviating emotional changes due to acute alcohol administration and the possibility of sigma1 receptor involvement. Integrative Medicine Research. 10(2). 100497–100497. 4 indexed citations
11.
Fan, Yu, et al.. (2020). Role of the central amygdala in acupuncture inhibition of methamphetamine‐induced behaviors in rats. Addiction Biology. 26(1). e12862–e12862. 14 indexed citations
12.
Moon, Ji‐Young, et al.. (2018). An estradiol-independent BDNF-NPY cascade is involved in the antidepressant effect of mechanical acupuncture instruments in ovariectomized rats. Scientific Reports. 8(1). 5849–5849. 19 indexed citations
13.
Kim, Do‐Hee, Yeonhee Ryu, Dae Hyun Hahm, et al.. (2017). Acupuncture points can be identified as cutaneous neurogenic inflammatory spots. Scientific Reports. 7(1). 15214–15214. 71 indexed citations
14.
Kwon, O Sang, et al.. (2017). Mechanical Stimulation of the HT7 Acupuncture Point to Reduce Ethanol Self‐Administration in Rats. Evidence-based Complementary and Alternative Medicine. 2017(1). 6578621–6578621. 9 indexed citations
15.
Choi, Kwang‐Ho, et al.. (2016). Evaluating Acupuncture Point and Nonacupuncture Point Stimulation with EEG: A High‐Frequency Power Spectrum Analysis. Evidence-based Complementary and Alternative Medicine. 2016(1). 2134364–2134364. 8 indexed citations
16.
Lee, Sang Hyeon, et al.. (2012). A Study of Research Patterns for Standardization of Cupping Therapy. Korean Journal of Acupuncture. 29(2). 250–259. 5 indexed citations
17.
Kwon, O Sang, Kwang‐Ho Choi, Sung–Jin Cho, et al.. (2012). The Corrosiveness Evaluation according to the Needle Material in the Electroacupuncture Operation. Korean Journal of Acupuncture. 29(2). 216–223. 2 indexed citations
18.
Ryu, Yeonhee, et al.. (2011). Histological Comparison Study with Primo Node and Immature Liver Tissue on Liver Surface in Rat. Korean Journal of Acupuncture. 28(1). 47–52. 1 indexed citations
19.
Lee, Sung Won, et al.. (2010). The Induction Effect of Apoptosis in A549 Human Lung Cancer Cells by the Trichosanthes Kirilowii Pharmacopuncture Solution. Korean Journal of Acupuncture. 27(4). 15–23. 1 indexed citations
20.
Na, Chang-Su, et al.. (2008). Effects of five element constitutional acupuncture(Sa-am acupuncture) using needle manipulation to sedate Six Fu-Organ on serum lipid and liver function of hyperlipidemic rats induced by high fat diet. Korean Journal of Acupuncture. 25(4). 73–88. 2 indexed citations

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.

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