Mi Mi Ko

519 citations
64 papers · 373 · h-index 11

Impact in

Papers in

Mi Mi Ko

55 papers receiving 366 citations

Peers

Mi Mi Ko
Comparison fields: 5 of 62
  • Complementary and alternative medicine 169
  • Pharmacology 88
  • Pharmacology 35
  • Gastroenterology 9
  • Endocrine and Autonomic Systems 11
Replace Changsop Yang with:
Changsop Yang South Korea
Seung‐Ho Sun South Korea
Jung-Hee Yoo South Korea
Laise Aline Martins dos Santos Brazil
Gabriela Achete de Souza Brazil
J P Morgan United States
Chunlan Hong Germany
Jodi L. Williams United States
Yihan He China
Mi Mi Ko relative to Changsop Yang South Korea Changsop Yang's profile →
Citations per field
00.5×6.8×
Changsop Yang · 1×
Citations per year

Countries citing papers authored by Mi Mi Ko

Since Specialization
Citations

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

Fields of papers citing papers by Mi Mi Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201229
2 200928
3 201224
4 201217
5 201217
6 201015
7 201314
8 201214
9 201212
10 201111
11 200911
12 201310
13 20129
14 20128
15 20228
16 20128
17 20178
18 20187
19 20167
20 20207

About Mi Mi Ko

Mi Mi Ko is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Public Health, Environmental and Occupational Health and Pharmacology, having authored 64 papers that have together received 373 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (19 papers), Healthcare and Venom Research (10 papers), Pharmacology and Obesity Treatment (3 papers), Traditional Chinese Medicine Analysis (3 papers), Ginseng Biological Effects and Applications (3 papers), Neuropeptides and Animal Physiology (3 papers), Diverse Approaches in Healthcare and Education Studies (2 papers) and Delphi Technique in Research (2 papers). The work is most often cited by research in Complementary and alternative medicine (169 citations), Pharmacology (88 citations), Pharmacology (35 citations), Gastroenterology (9 citations) and Endocrine and Autonomic Systems (11 citations). Mi Mi Ko has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Myeong Soo Lee, Byoung-Kab Kang, Min Ho, Ju Ah Lee, Taeyong Park, Jeeyoun Jung, Jiae Choi, Byoung Kab Kang, Ok Sun Bang and Soobin Jang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Medicine, Chinese Journal of Integrative Medicine, Frontiers in Pharmacology and PLoS ONE.

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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