Sungchul Kim
- Co-authors
- Kwangseog AhnDaehyun BaekJong-Kyu KimFelipe Diaz‐GrifferoJeongmin RyooCheol‐Heui YunTommy E. WhiteChanghoon Oh
- Topics
- Machine Learning in Bioinformatics (2 papers)Protein Structure and Dynamics (2 papers)Bioinformatics and Genomic Networks (2 papers)
- Cited by
- VirologyImmunologyCancer Research
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Sungchul Kim
14 papers receiving 422 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 245
- Virology 145
- Immunology 137
- Epidemiology 96
- Cancer Research 92
Countries citing papers authored by Sungchul Kim
This map shows the geographic impact of Sungchul 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 Sungchul Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungchul Kim more than expected).
Fields of papers citing papers by Sungchul Kim
This network shows the impact of papers produced by Sungchul 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 Sungchul Kim. The network helps show where Sungchul Kim may publish in the future.
Co-authorship network of co-authors of Sungchul Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sungchul Kim. A scholar is included among the top collaborators of Sungchul 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 Sungchul Kim. Sungchul 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 | 12 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 35 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 223 | |
| 10 | 5 | |
| 11 | 97 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | Purification and Fluorometric Analysis of Leucine-Responsive Regulatory Protein from Escherichia coli | 0 |
| 15 | 7 |
About Sungchul Kim
Sungchul Kim is a scholar working on Cancer Research, Dermatology and Virology, having authored 15 papers that have together received 425 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Virology (145 citations), Immunology (137 citations) and Cancer Research (92 citations). Sungchul Kim has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Kwangseog Ahn, Daehyun Baek, Jong-Kyu Kim, Felipe Diaz‐Griffero, Jeongmin Ryoo, Cheol‐Heui Yun, Tommy E. White, Changhoon Oh, Alberto Brandariz-Núñez and Baek Kim. Their work appears in journals such as Nature, Nature Medicine and Nature Communications.
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.