Deok Ryong Kim
- Molecular Biology top 10%
- Epidemiology top 10%
- Cancer Research top 10%
- Genetics top 10%
- Oncology
- Co-authors
- Hyun Joon KimCharles S. McHenryMahmoud AhmedYoung‐Sool HahTrang Huyen LaiHae Sook NohJong Ryeal HahmJi Hye Ha
- Topics
- Autophagy in Disease and Therapy (20 papers)Adipose Tissue and Metabolism (11 papers)DNA Repair Mechanisms (7 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Deok Ryong Kim
100 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.2k
- Epidemiology 370
- Cancer Research 284
- Genetics 241
- Oncology 197
Countries citing papers authored by Deok Ryong Kim
This map shows the geographic impact of Deok Ryong 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 Deok Ryong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deok Ryong Kim more than expected).
Fields of papers citing papers by Deok Ryong Kim
This network shows the impact of papers produced by Deok Ryong 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 Deok Ryong Kim. The network helps show where Deok Ryong Kim may publish in the future.
Co-authorship network of co-authors of Deok Ryong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Deok Ryong Kim. A scholar is included among the top collaborators of Deok Ryong Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deok Ryong Kim. Deok Ryong Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 19 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 23 | |
| 11 | 11 | |
| 12 | 29 | |
| 13 | Use of Human Adipose Tissue as a Source of Endothelial Cells | 0 |
| 14 | Proliferation and Functional Activity of Human Adipose Tissue-Derived CD146 Positive Endothelial Cells According to Culture Mediums | 0 |
| 15 | 47 | |
| 16 | 28 | |
| 17 | CORRELATION BETWEEN VASCULAR ENDOTHELIAL GRWOTH FACTOR SIGNALING AND MINERALIZATION DURING OSTEOBLASTIC DIFFERENTIATION OF CULTURED HUMAN PERIOSTEAL-DERIVED CELLS | 1 |
| 18 | Expression of vascular endothelial growth factor receptors in tumor and stromal cells of tongue squamous cell carcinoma | 2 |
| 19 | Determination of Monoclonal Antibodies Capable of Recognizing the Native Protein Using Surface Plasmon Resonance | 6 |
| 20 | 57 |
About Deok Ryong Kim
Deok Ryong Kim is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 107 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (20 papers), Adipose Tissue and Metabolism (11 papers) and DNA Repair Mechanisms (7 papers). The work is most often cited by research in Cancer Research (284 citations), Molecular Biology (1.2k citations) and Genetics (119 citations). Deok Ryong Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hyun Joon Kim, Charles S. McHenry, Mahmoud Ahmed, Young‐Sool Hah, Trang Huyen Lai, Hae Sook Noh, Jong Ryeal Hahm, Ji Hye Ha, Sahib Zada and June‐Ho Byun. Their work appears in journals such as Journal of Biological Chemistry, Biomaterials and Molecular and Cellular Biology.
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.