Cheol‐Min Kim
- Molecular Biology
- Microbiology top 2%
- Epidemiology
- Infectious Diseases top 10%
- Automotive Engineering top 10%
- Co-authors
- Hee‐Kyoung KangChang Ho SeoYoonkyung ParkDiego KlabjanHyun‐Jung JangChulhun L. ChangHee Kyung ParkByung‐Seon Chung
- Topics
- Mycobacterium research and diagnosis (3 papers)Tuberculosis Research and Epidemiology (3 papers)Pain Management and Opioid Use (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceEuropean Journal of Operational ResearchJournal of Clinical Microbiology
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Cheol‐Min Kim
22 papers receiving 916 citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 310
- Microbiology 247
- Epidemiology 184
- Infectious Diseases 117
- Automotive Engineering 87
Countries citing papers authored by Cheol‐Min Kim
This map shows the geographic impact of Cheol‐Min 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 Cheol‐Min Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheol‐Min Kim more than expected).
Fields of papers citing papers by Cheol‐Min Kim
This network shows the impact of papers produced by Cheol‐Min 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 Cheol‐Min Kim. The network helps show where Cheol‐Min Kim may publish in the future.
Co-authorship network of co-authors of Cheol‐Min Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Cheol‐Min Kim. A scholar is included among the top collaborators of Cheol‐Min 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 Cheol‐Min Kim. Cheol‐Min 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 42 | |
| 7 | 29 | |
| 8 | 308 | |
| 9 | 1 | |
| 10 | Sensory Effects Reproducing System for Virtual Underwater Experience | 1 |
| 11 | 27 | |
| 12 | 74 | |
| 13 | 14 | |
| 14 | 19 | |
| 15 | Gender Differences in Alcohol Metabolizing Hepatic Enzyme Genotypes in Korean Patients with Alcohol Dependence | 0 |
| 16 | 62 | |
| 17 | 7 | |
| 18 | Clinical Study of Childhood Accidents from a Hospital Over Ten Years with Regard to Foreign Body Aspiration | 3 |
| 19 | 108 | |
| 20 | 32 |
About Cheol‐Min Kim
Cheol‐Min Kim is a scholar working on Anesthesiology and Pain Medicine, Control and Systems Engineering and Epidemiology, having authored 25 papers that have together received 938 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Pain Management and Opioid Use (2 papers). The work is most often cited by research in Microbiology (247 citations), Anesthesiology and Pain Medicine (45 citations) and Automotive Engineering (87 citations). Cheol‐Min Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Hee‐Kyoung Kang, Chang Ho Seo, Yoonkyung Park, Diego Klabjan, Hyun‐Jung Jang, Chulhun L. Chang, Hee Kyung Park, Byung‐Seon Chung, Sung‐Gon Kim and David W. Oslin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Operational Research and Journal of Clinical Microbiology.
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.