Dokyun Na

80 papers and 3.2k indexed citations i.

About

Dokyun Na is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Dokyun Na has authored 80 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 15 papers in Genetics and 13 papers in Computational Theory and Mathematics. Recurrent topics in Dokyun Na’s work include Computational Drug Discovery Methods (12 papers), RNA and protein synthesis mechanisms (12 papers) and Metabolic Engineering and Synthetic Biology (10 papers). Dokyun Na is often cited by papers focused on Computational Drug Discovery Methods (12 papers), RNA and protein synthesis mechanisms (12 papers) and Metabolic Engineering and Synthetic Biology (10 papers). Dokyun Na collaborates with scholars based in South Korea, Canada and Pakistan. Dokyun Na's co-authors include Sang Yup Lee, Seung Min Yoo, Doheon Lee, Jong Myoung Park, Joungmin Lee, Jeong Wook Lee, Sol Choi, Jin Hwan Park, Hannah Chung and Hyegwon Park and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Dokyun Na i

Fields of papers citing papers by Dokyun Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dokyun Na

Since Specialization
Citations

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