Dae‐Ki Kim

3.6k citations
113 papers · 3.0k · h-index 31

Impact in

  • Immunology top 5%
    • Mast cells and histamine
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cell Adhesion Molecules Research

Papers in

Dae‐Ki Kim

107 papers receiving 3.0k citations

Peers

Dae‐Ki Kim
Comparison fields: 5 of 149
  • Immunology 902
  • Immunology and Allergy 228
  • Pharmacology 202
  • Biochemistry 136
  • Industrial and Manufacturing Engineering 224
Replace Andrea Buda with:
Andrea Buda Italy
Ling Xu China
Stephen Lee Abrams United States
Sang‐Hyun Kim South Korea
Ling Han China
Jun Hong Park South Korea
GARETH S. EVANS United Kingdom
Qingqing Ding China
Xiaolan Zhang China
Byung-Chul Kim South Korea
Dae‐Ki Kim relative to Andrea Buda Italy Andrea Buda's profile →
Citations per field
00.5×2×3×4×4.9×
Andrea Buda · 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-authors

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

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020248
2 2002231
3 1999118
4 200383
5 201580
6 199776
7 200471
8 200270
9 199870
10 200469
11 201360
12 201457
13 201352
14 201552
15 201849
16 199949
17 200348
18 201545
19 200344
20 200344

About Dae‐Ki Kim

Dae‐Ki Kim is a scholar working on Immunology, Immunology and Allergy, Cell Biology, Dermatology and Pharmacology, having authored 113 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mast cells and histamine (26 papers), melanin and skin pigmentation (17 papers), Cell Adhesion Molecules Research (8 papers), Dermatology and Skin Diseases (8 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Allergic Rhinitis and Sensitization (7 papers), Polyamine Metabolism and Applications (7 papers) and Vehicle Routing Optimization Methods (6 papers). The work is most often cited by research in Immunology (902 citations), Immunology and Allergy (228 citations), Pharmacology (202 citations), Biochemistry (136 citations) and Industrial and Manufacturing Engineering (224 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, Molecules, Biochemical and Biophysical Research Communications and International Immunopharmacology.

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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