Yeonhee Ryu

1.6k citations
104 papers · 1.2k · h-index 20

Impact in

Papers in

Yeonhee Ryu

99 papers receiving 1.2k citations

Peers

Yeonhee Ryu
Comparison fields: 5 of 119
  • Complementary and alternative medicine 651
  • Biological Psychiatry 37
  • Pharmacology 234
  • Cognitive Neuroscience 261
  • Physiology 331
Replace Bong Hyo Lee with:
Bong Hyo Lee South Korea
Seung‐Nam Kim South Korea
Shenbin Liu China
Cheng‐Hao Tu Taiwan
Sujung Yeo South Korea
Xiehua Xue China
Ji-Yeun Park South Korea
Franco Melis Italy
Xiao-Ding Cao China
Ming Yi China
Yeonhee Ryu relative to Bong Hyo Lee South Korea Bong Hyo Lee's profile →
Citations per field
00.5×1.5×
Bong Hyo Lee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yeonhee Ryu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yeonhee Ryu Line = papers co-authored together Yeonhee Ryu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 201461
3 202059
4 201353
5 200749
6 201647
7 201346
8 201538
9 201734
10 202031
11 201629
12 201927
13 202027
14 202023
15 201822
16 201722
17 201522
18 202122
19 201721
20 201819

About Yeonhee Ryu

Yeonhee Ryu is a scholar working on Complementary and alternative medicine, Physiology, Pharmacology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (61 papers), Pain Mechanisms and Treatments (30 papers), Healthcare and Venom Research (27 papers), Traditional Chinese Medicine Studies (21 papers), Pain Management and Placebo Effect (14 papers), Complementary and Alternative Medicine Studies (11 papers), Psychosomatic Disorders and Their Treatments (10 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). The work is most often cited by research in Complementary and alternative medicine (651 citations), Biological Psychiatry (37 citations), Pharmacology (234 citations), Cognitive Neuroscience (261 citations) and Physiology (331 citations). Yeonhee Ryu has collaborated with scholars based in South Korea, United States and China. Frequent 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, Ji‐Eun Park and In‐Seon Lee. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Scientific Reports, Frontiers in Neuroscience, Addiction Biology and Acupuncture in 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.

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