Min‐Sook Kang

1.1k citations
41 papers · 938 · h-index 15

Impact in

    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Ginger and Zingiberaceae research

Papers in

Min‐Sook Kang

38 papers receiving 888 citations

Peers

Min‐Sook Kang
Comparison fields: 5 of 105
  • Biochemistry 108
  • Pharmacology 148
  • Physiology 233
  • Complementary and alternative medicine 66
  • Endocrinology, Diabetes and Metabolism 118
Replace Bong‐Keun Choi with:
Bong‐Keun Choi South Korea
Yen‐Chen Tung Taiwan
Ting‐Tsz Ou Taiwan
Peng Guo China
Yan Dai China
Tiago Sousa de Melo Brazil
Cheng‐Hsiu Lin Taiwan
Yanghee You South Korea
Wangjun Hao Hong Kong
Jia‐Ching Wu Taiwan
Min‐Sook Kang relative to Bong‐Keun Choi South Korea Bong‐Keun Choi's profile →
Citations per field
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Bong‐Keun Choi · 1×
Citations per year

Countries citing papers authored by Min‐Sook Kang

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Sook Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Sook Kang. 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‐Sook Kang. The network helps show where Min‐Sook Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007132
2 2008127
3 2010109
4 200784
5 200883
6 200843
7 200943
8 201542
9 201942
10 201240
11
Dietary regulation of nuclear receptors in obesity-related metabolic syndrome.
200823
12 201220
13 202019
14 201218
15 201114
16 200511
17 202011
18 20137
19 20137
20 20157

About Min‐Sook Kang

Min‐Sook Kang is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Food Science and Epidemiology, having authored 41 papers that have together received 938 indexed citations. Recurring topics across this work include Nutrition, Health and Food Behavior (10 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Food Quality and Safety Studies (7 papers), Adipose Tissue and Metabolism (7 papers), Nutritional Studies and Diet (5 papers), Ginger and Zingiberaceae research (3 papers) and Botanical Research and Applications (2 papers). The work is most often cited by research in Biochemistry (108 citations), Pharmacology (148 citations), Physiology (233 citations), Complementary and alternative medicine (66 citations) and Endocrinology, Diabetes and Metabolism (118 citations). Min‐Sook Kang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Teruo Kawada, Tsuyoshi Goto, Shizuka Hirai, Nobuyuki Takahashi, Rina Yu, Taku Uemura, Mineka Yoshimura, Akio Obata, Kana Ohyama and Takanori Tsuda. Their work appears in journals such as Nutrients, Biochemical and Biophysical Research Communications, BioFactors, Journal of Agricultural and Food Chemistry and Journal of Food Composition and Analysis.

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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