Sunkyu Kim

72 papers and 6.6k indexed citations i.

About

Sunkyu Kim is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Sunkyu Kim has authored 72 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Artificial Intelligence. Recurrent topics in Sunkyu Kim’s work include Advanced Breast Cancer Therapies (7 papers), Biomedical Text Mining and Ontologies (7 papers) and Topic Modeling (6 papers). Sunkyu Kim is often cited by papers focused on Advanced Breast Cancer Therapies (7 papers), Biomedical Text Mining and Ontologies (7 papers) and Topic Modeling (6 papers). Sunkyu Kim collaborates with scholars based in United States, South Korea and Switzerland. Sunkyu Kim's co-authors include Jaewoo Kang, Donghyeon Kim, Jinhyuk Lee, Sungdong Kim, Wonjin Yoon, Chi V. Dang, Qing Li, Linda A. Lee, Diane R. Wonsey and Hyunsuk Shim and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Sunkyu Kim i

Fields of papers citing papers by Sunkyu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunkyu 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 Sunkyu Kim. The network helps show where Sunkyu Kim may publish in the future.

Countries citing papers authored by Sunkyu Kim

Since Specialization
Citations

This map shows the geographic impact of Sunkyu 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 Sunkyu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunkyu Kim more than expected).

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.

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2025