Chae Ha Yang

138 papers receiving 3.1k citations

Peers

Chae Ha Yang
Comparison fields: 5 of 130
  • Complementary and alternative medicine 1.0k
  • Biological Psychiatry 124
  • Pharmacology 422
  • Behavioral Neuroscience 156
  • Cellular and Molecular Neuroscience 579
Replace Glauce Socorro de Barros Viana with:
Glauce Socorro de Barros Viana Brazil
Márcia María de Souza Brazil
Ali Roohbakhsh Iran
Zhang‐Jin Zhang Hong Kong
Lucian Hriţcu Romania
Milind Parle India
Dae‐Hyun Hahm South Korea
Su‐Jane Wang Taiwan
S. K. Kulkarni India
Thereza Christina Monteiro de Lima Brazil
Chae Ha Yang relative to Glauce Socorro de Barros Viana Brazil Glauce Socorro de Barros Viana's profile →
Citations per field
00.5×2.6×
Glauce Socorro de Barros Viana · 1×
Citations per year

Countries citing papers authored by Chae Ha Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chae Ha Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chae Ha Yang. 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 Chae Ha Yang. The network helps show where Chae Ha Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chae Ha Yang, 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 Chae Ha Yang Line = papers co-authored together Chae Ha Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008229
2 2004114
3 200298
4 201775
5 200572
6 200369
7 200266
8 200463
9 200562
10 201461
11 201661
12 200560
13 200360
14 200759
15 202357
16 201355
17 201055
18 201650
19 201046
20 200442

About Chae Ha Yang

Chae Ha Yang is a scholar working on Complementary and alternative medicine, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Pharmacology, having authored 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (43 papers), Neurotransmitter Receptor Influence on Behavior (35 papers), Pain Mechanisms and Treatments (30 papers), Neuroscience and Neuropharmacology Research (18 papers), Stress Responses and Cortisol (12 papers), Pharmacological Effects of Natural Compounds (12 papers), Ginseng Biological Effects and Applications (10 papers) and Pain Management and Placebo Effect (8 papers). The work is most often cited by research in Complementary and alternative medicine (1.0k citations), Biological Psychiatry (124 citations), Pharmacology (422 citations), Behavioral Neuroscience (156 citations) and Cellular and Molecular Neuroscience (579 citations). Chae Ha Yang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Bong Hyo Lee, Hee Young Kim, Rongjie Zhao, Sang Chan Kim, Insop Shim, Eun Young Jang, Seong Shoon Yoon, Scott C. Steffensen, Suchan Chang and Yeonhee Ryu. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Scientific Reports, Journal of Acupuncture and Meridian Studies, Addiction Biology and The American Journal of 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.

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