Dokyoon Kim

103 papers and 1.7k indexed citations i.

About

Dokyoon Kim is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dokyoon Kim has authored 103 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 35 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Dokyoon Kim’s work include Bioinformatics and Genomic Networks (33 papers), Genetic Associations and Epidemiology (26 papers) and Gene expression and cancer classification (15 papers). Dokyoon Kim is often cited by papers focused on Bioinformatics and Genomic Networks (33 papers), Genetic Associations and Epidemiology (26 papers) and Gene expression and cancer classification (15 papers). Dokyoon Kim collaborates with scholars based in United States, South Korea and China. Dokyoon Kim's co-authors include Marylyn D. Ritchie, Ruowang Li, Sarah A. Pendergrass, Emily Holzinger, Hyunjung Shin, Kyung-Ah Sohn, Manu Shivakumar, Ju Han Kim, Kwangsik Nho and Younghee Lee and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Dokyoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dokyoon Kim

Since Specialization
Citations

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