Dae‐Ki Kim

3.5k citations
110 papers · 2.8k indexed · 1 hit paper · h-index 29

Dae‐Ki Kim

103 papers receiving 2.8k citations

Hit Papers

Puerarin inhibits inflammation and oxidative stress in de...225202020262022202450100150200

Peers

Dae‐Ki Kim
Comparison fields: 5 of 149
  • Immunology 917
  • Immunology and Allergy 232
  • Pharmacology 229
  • Biochemistry 135
  • Industrial and Manufacturing Engineering 199
Replace Michael C. Wei with:
Michael C. Wei United States
Sang‐Hyun Kim South Korea
Jingquan Li China
Jongsung Lee South Korea
Kai Zheng China
Andrea Buda Italy
Ling Xu China
Ling Han China
Sang‐Hyun Kim South Korea
Stephen L. Abrams United States
Dae‐Ki Kim relative to Michael C. Wei United States Michael C. Wei's profile →
Citations per field
00.5×10×15.3×
Michael C. Wei · 1×
Citations per year

Countries citing papers authored by Dae‐Ki Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Ki Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Ki Kim. 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 Dae‐Ki Kim. The network helps show where Dae‐Ki Kim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20234
3 20232
4 20211
5 201928
6 201836
7 201534
8 201112
9
Effect of Natural Extracts Mixture from Houttuynia cordata and Ulmus davidiana var. japonica in Mast Cell-Induced Allergic Inflammatory Response
20084
10
Effect of polyphenol oxidase activity on discoloration of noodle dough sheet prepared from Korean wheats.
200811
11
Suppression of Cyclooxygenase-2 Expression in Colonic Epithelial Cells by Ilekudinol B Isolated from Weigela subsessilis
20061
12 200628
13 200535
14 200460
15 200433
16 200466
17
An Empirical Study on the Supply Chain Asset Performance of Korean Companies
20032
18 200342
19 200342
20 200112

About Dae‐Ki Kim

Dae‐Ki Kim is a scholar working on Immunology and Allergy, Immunology, Cell Biology, Pharmacology and Dermatology, having authored 110 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mast cells and histamine (26 papers), melanin and skin pigmentation (17 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Dermatology and Skin Diseases (8 papers), Cell Adhesion Molecules Research (8 papers), Allergic Rhinitis and Sensitization (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers) and Polyamine Metabolism and Applications (7 papers). The work is most often cited by research in Immunology (917 citations), Immunology and Allergy (232 citations), Pharmacology (229 citations), Biochemistry (135 citations) and Industrial and Manufacturing Engineering (199 citations). Dae‐Ki Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Ji‐Hyun Lee, Youngmi Lee, Young‐Mi Lee, Barun Poudel, Yong‐Deok Jeon, Cynthia Barnhart, Hyeon‐Hui Ki, Yukihiko Kitamura, Young-Mi Lee and Eiichi Morii. Their work appears in journals such as Blood, International Journal of Molecular Medicine, International Immunopharmacology, Biochemical and Biophysical Research Communications and Molecules.

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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