Chai-Wan Kim
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology top 10%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Jay D. HortonJu‐Hong JeonDong‐Myung ShinSung‐Yup ChoKevin FitzgeraldEui Man JeongIn Gyu KimYoung-Ah Moon
- Topics
- Blood properties and coagulation (13 papers)Erythrocyte Function and Pathophysiology (8 papers)Liver Disease Diagnosis and Treatment (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryCell Metabolism
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Chai-Wan Kim
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 374
- Pulmonary and Respiratory Medicine 338
- Epidemiology 285
- Physiology 202
- Endocrinology, Diabetes and Metabolism 167
Countries citing papers authored by Chai-Wan Kim
This map shows the geographic impact of Chai-Wan 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 Chai-Wan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chai-Wan Kim more than expected).
Fields of papers citing papers by Chai-Wan Kim
This network shows the impact of papers produced by Chai-Wan 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 Chai-Wan Kim. The network helps show where Chai-Wan Kim may publish in the future.
Co-authorship network of co-authors of Chai-Wan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Chai-Wan Kim. A scholar is included among the top collaborators of Chai-Wan 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 Chai-Wan Kim. Chai-Wan 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 | 31 | |
| 2 | DGAT2 inhibition blocks SREBP-1 cleavage and improves hepatic steatosis by increasing phosphatidylethanolamine in the ERbreakdown → | 46 |
| 3 | 3 | |
| 4 | 314 | |
| 5 | 20 | |
| 6 | 5 | |
| 7 | 61 | |
| 8 | 47 | |
| 9 | Induced polymerization of mammalian acetyl-CoA carboxylase by MIG12 provides a tertiary level of regulation of fatty acid synthesis | 1 |
| 10 | 111 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 35 | |
| 15 | 6 | |
| 16 | 94 | |
| 17 | 12 | |
| 18 | 27 | |
| 19 | 16 | |
| 20 | 54 |
About Chai-Wan Kim
Chai-Wan Kim is a scholar working on Biochemistry, Pulmonary and Respiratory Medicine and Physiology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood properties and coagulation (13 papers), Erythrocyte Function and Pathophysiology (8 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Biochemistry (89 citations), Pulmonary and Respiratory Medicine (338 citations) and Endocrinology, Diabetes and Metabolism (167 citations). Chai-Wan Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jay D. Horton, Ju‐Hong Jeon, Dong‐Myung Shin, Sung‐Yup Cho, Kevin Fitzgerald, Eui Man Jeong, In Gyu Kim, Young-Ah Moon, Hyock Joo Kwon and Shawn C. Burgess. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cell Metabolism.
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.