Dae‐Kee Kim
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cytokine Signaling Pathways and Interactions
- Cancer Research top 10%
Papers in
-
- TGF-β signaling in diseases 26
- Histone Deacetylase Inhibitors Research 8
- Protein Kinase Regulation and GTPase Signaling 6
- Bone Metabolism and Diseases 4
- Oncology 26
- Pancreatic and Hepatic Oncology Research 8
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Yhun Yhong Sheen (23 shared papers)Hyun‐Ju Park (9 shared papers)Cheng Hua Jin (10 shared papers)Jeong‐Seok Nam (5 shared papers)Maddeboina Krishnaiah (9 shared papers)Chul‐Yong Park (7 shared papers)Namkyu Lee (7 shared papers)D. Sreenu (7 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (8 papers)Bioorganic & Medicinal Chemistry (7 papers)Archives of Pharmacal Research (5 papers)Journal of Medicinal Chemistry (4 papers)European Journal of Medicinal Chemistry (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Dae‐Kee Kim
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Oncology 587
- Cancer Research 191
- Toxicology 45
- Molecular Biology 917
- Organic Chemistry 357
Countries citing papers authored by Dae‐Kee Kim
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
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.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 132 | |
| 2 | 2007 | 101 | |
| 3 | 2014 | 93 | |
| 4 | 2015 | 89 | |
| 5 | 2004 | 80 | |
| 6 | 2001 | 66 | |
| 7 | 2013 | 59 | |
| 8 | 2015 | 56 | |
| 9 | 2014 | 52 | |
| 10 | 2014 | 50 | |
| 11 | 2001 | 50 | |
| 12 | 2016 | 49 | |
| 13 | 2007 | 46 | |
| 14 | 2007 | 45 | |
| 15 | 2009 | 43 | |
| 16 | 2011 | 37 | |
| 17 | 2016 | 37 | |
| 18 | 2011 | 36 | |
| 19 | 2010 | 33 | |
| 20 | 2011 | 32 |
About Dae‐Kee Kim
Dae‐Kee Kim is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Immunology and Allergy, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (26 papers), Pancreatic and Hepatic Oncology Research (8 papers), NF-κB Signaling Pathways (8 papers), Histone Deacetylase Inhibitors Research (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Cell Adhesion Molecules Research (5 papers) and Bone Metabolism and Diseases (4 papers). The work is most often cited by research in Oncology (587 citations), Cancer Research (191 citations), Toxicology (45 citations), Molecular Biology (917 citations) and Organic Chemistry (357 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, D. Sreenu, Vura Bala Subrahmanyam 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.