Min-Sun Choi

609 citations
35 papers · 353 · h-index 10

Impact in

Papers in

Min-Sun Choi

35 papers receiving 334 citations

Peers

Min-Sun Choi
Comparison fields: 5 of 91
  • Complementary and alternative medicine 50
  • Neurology 44
  • Reproductive Medicine 29
  • Neurology 52
  • Physiology 63
Replace Zhigang Lu with:
Zhigang Lu China
Lourdes Álvarez‐Arellano Mexico
Yisheng Zhang China
Ali Dehghani Firoozabadi Iran
Fenfen Qin China
José Francisco Montiel-Sosa Mexico
Jarmila Veselá Slovakia
Ki Ho Cho South Korea
Oliver Pohl United Kingdom
Yun Shi China
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Citations per field
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Citations per year

Countries citing papers authored by Min-Sun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Min-Sun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Sun Choi. 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 Min-Sun Choi. The network helps show where Min-Sun Choi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202256
2 201448
3 200747
4 202236
5 201624
6 201617
7 202117
8
A Clinical Trial to Assess the Efficacy of Acupuncture on Hot Flashes in Postmenopausal Women
200714
9 20219
10 20139
11 20157
12 20147
13 20136
14 20226
15 20105
16 20135
17
Efficacy and safety of Baweidihuang-wan in women with overactive bladder: a randomized, double blind, placebo controlled trial.
20144
18 20144
19
Comparison of the MENQOL with the Kupperman's index level of postmenopausal women who visited oriental medical center
20063
20 20223

About Min-Sun Choi

Min-Sun Choi is a scholar working on Pharmacology, Complementary and alternative medicine, Neurology, Urology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 353 indexed citations. Recurring topics across this work include Healthcare and Venom Research (15 papers), Traditional Chinese Medicine Studies (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Urinary Bladder and Prostate Research (4 papers), Food Quality and Safety Studies (3 papers), Urinary Tract Infections Management (3 papers), Acupuncture Treatment Research Studies (3 papers) and Reproductive Health and Technologies (3 papers). The work is most often cited by research in Complementary and alternative medicine (50 citations), Neurology (44 citations), Reproductive Medicine (29 citations), Neurology (52 citations) and Physiology (63 citations). Min-Sun Choi has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Dong‐Il Kim, Jun Sung Lee, Byung Chul Jung, Eun-Jin Bae, Jeong Tae Kim, Tae-Kyung Kim, Min Kyo Jung, Changyoun Kim, Dong‐Kyu Kim and Sang-Ho Yoon. Their work appears in journals such as Experimental & Molecular Medicine, BMC Complementary and Alternative Medicine, Molecules and Cells, Medicine and Frontiers in Immunology.

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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