Cheong-Sik Kim
- Health, Toxicology and Mutagenesis top 10%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Genetics
- Co-authors
- Kwang‐Pil KoMihi YangSoon Young HanYong‐Hak KimMyoung‐Yun PyoJae Kyung ParkYounjhin AhnKeun‐Young Yoo
- Topics
- Phytoestrogen effects and research (4 papers)Cancer Risks and Factors (2 papers)Diet, Metabolism, and Disease (2 papers)
- Cited by
- Health, Toxicology and MutagenesisPathology and Forensic MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Cheong-Sik Kim
15 papers receiving 454 citations
Peers
Comparison fields: 5 of 75
- Health, Toxicology and Mutagenesis 134
- Pathology and Forensic Medicine 132
- Molecular Biology 77
- Endocrinology, Diabetes and Metabolism 71
- Genetics 67
Countries citing papers authored by Cheong-Sik Kim
This map shows the geographic impact of Cheong-Sik 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 Cheong-Sik Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheong-Sik Kim more than expected).
Fields of papers citing papers by Cheong-Sik Kim
This network shows the impact of papers produced by Cheong-Sik 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 Cheong-Sik Kim. The network helps show where Cheong-Sik Kim may publish in the future.
Co-authorship network of co-authors of Cheong-Sik Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Cheong-Sik Kim. A scholar is included among the top collaborators of Cheong-Sik 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 Cheong-Sik Kim. Cheong-Sik 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 | 22 | |
| 2 | 51 | |
| 3 | 1 | |
| 4 | 32 | |
| 5 | 30 | |
| 6 | 7 | |
| 7 | 39 | |
| 8 | 69 | |
| 9 | 17 | |
| 10 | 47 | |
| 11 | Gene amplification using DNA from human spot urine samples. | 0 |
| 12 | 24 | |
| 13 | 120 | |
| 14 | 1 | |
| 15 | Prevalence of Hazardous and Harmful Alcohol Consumption Using Alcohol Use Disorders Identification Test in Chungju Area | 4 |
| 16 | 1 |
About Cheong-Sik Kim
Cheong-Sik Kim is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Radiological and Ultrasound Technology, having authored 16 papers that have together received 465 indexed citations. Recurring topics across this work include Phytoestrogen effects and research (4 papers), Cancer Risks and Factors (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (134 citations), Pathology and Forensic Medicine (132 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Cheong-Sik Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Kwang‐Pil Ko, Mihi Yang, Soon Young Han, Yong‐Hak Kim, Myoung‐Yun Pyo, Jae Kyung Park, Younjhin Ahn, Keun‐Young Yoo, Sue K. Park and Seon‐Joo Park. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Nutrition and Diabetologia.
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.