Seong Won Kim
- Co-authors
- Allison J. TaggartWilliam G. FairbrotherDmitri K. KlimovChien‐Ling LinYu Seok YounKyung Taek OhChristopher LockhartEun Seong Lee
- Topics
- Protein Structure and Dynamics (4 papers)RNA Research and Splicing (4 papers)RNA modifications and cancer (3 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Seong Won Kim
24 papers receiving 375 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 244
- Physiology 51
- Biomaterials 38
- Cancer Research 27
- Cell Biology 24
Countries citing papers authored by Seong Won Kim
This map shows the geographic impact of Seong Won 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 Seong Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong Won Kim more than expected).
Fields of papers citing papers by Seong Won Kim
This network shows the impact of papers produced by Seong Won 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 Seong Won Kim. The network helps show where Seong Won Kim may publish in the future.
Co-authorship network of co-authors of Seong Won Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seong Won Kim. A scholar is included among the top collaborators of Seong Won 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 Seong Won Kim. Seong Won 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 | 45 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 41 | |
| 8 | 84 | |
| 9 | 43 | |
| 10 | 9 | |
| 11 | 32 | |
| 12 | State of Diabetes Care in Korean Adults: According to the American Diabetes Association Recommendations | 5 |
| 13 | 5 | |
| 14 | Smoking status and expired carbon monoxide concentration. | 7 |
| 15 | 18 | |
| 16 | 25 | |
| 17 | The prevalence and risk factors of childhood obesity in elementary students in Seoul | 16 |
| 18 | Prevalence and Associated Factors of Fall Among the Elderly in Nursing Home | 7 |
| 19 | Depression and weight loss in low calorie diet and low calorie diet with exercise on obese women. | 1 |
| 20 | Fear of falling in elderly persons living in a home for the aged. | 9 |
About Seong Won Kim
Seong Won Kim is a scholar working on Internal Medicine, Molecular Biology and Cancer Research, having authored 24 papers that have together received 390 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Biology (244 citations), Biomaterials (38 citations) and Physiology (51 citations). Seong Won Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Allison J. Taggart, William G. Fairbrother, Dmitri K. Klimov, Chien‐Ling Lin, Yu Seok Youn, Kyung Taek Oh, Christopher Lockhart, Eun Seong Lee, Amir Barati Farimani and Yun Jun Yang. Their work appears in journals such as Nucleic Acids Research, Circulation and The Journal of Chemical Physics.
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.