Dae‐Kee Kim

2.1k citations
68 papers · 1.8k · h-index 27

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • Cytokine Signaling Pathways and Interactions
    • TGF-β signaling in diseases
    • Bone Metabolism and Diseases

Papers in

    • TGF-β signaling in diseases 27
    • Histone Deacetylase Inhibitors Research 8
    • Protein Kinase Regulation and GTPase Signaling 6
    • Pancreatic and Hepatic Oncology Research 9
    • Cytokine Signaling Pathways and Interactions 6

Dae‐Kee Kim

67 papers receiving 1.8k citations

Peers

Dae‐Kee Kim
Comparison fields: 5 of 98
  • Oncology 640
  • Molecular Biology 982
  • Cancer Research 212
  • Toxicology 46
  • Organic Chemistry 374
Replace Sally Przybranowski with:
Sally Przybranowski United States
Giuliana Cassinelli Italy
Peihua Luo China
Janeen H. Trembley United States
Zhenhua Lin China
Edward K. Han United States
Frank Bennett United States
Michele Yip-Schneider United States
Paul Peixoto France
William H. St. Clair United States
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Citations per field
00.5×1.5×1.8×
Sally Przybranowski · 1×
Citations per year

Countries citing papers authored by Dae‐Kee Kim

Since Specialization
Citations

This map shows the geographic impact of Dae‐Kee 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‐Kee 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‐Kee Kim more than expected).

Fields of papers citing papers by Dae‐Kee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014126
2 2007101
3 201491
4 201585
5 200480
6 200166
7 201358
8 201555
9 201452
10 201450
11 200150
12 201647
13 200746
14 200745
15 200942
16 201137
17 201136
18 201636
19 201033
20 201432

About Dae‐Kee Kim

Dae‐Kee Kim is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Pathology and Forensic Medicine, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (27 papers), Pancreatic and Hepatic Oncology Research (9 papers), Histone Deacetylase Inhibitors Research (8 papers), NF-κB Signaling Pathways (8 papers), Cytokine Signaling Pathways and Interactions (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Genetic factors in colorectal cancer (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Oncology (640 citations), Molecular Biology (982 citations), Cancer Research (212 citations), Toxicology (46 citations) and Organic Chemistry (374 citations). Dae‐Kee Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Yhun Yhong Sheen, Hyun‐Ju Park, Cheng Hua Jin, Jeong‐Seok Nam, Maddeboina Krishnaiah, Chul‐Yong Park, Namkyu Lee, Vura Bala Subrahmanyam, D. Sreenu and So-Yeon Park. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Archives of Pharmacal Research, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.

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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