Dokyun Na
- Molecular Biology top 2%
- Biomedical Engineering top 5%
- Computational Theory and Mathematics top 1%
- Genetics top 5%
- Cancer Research top 10%
- Co-authors
- Sang Yup LeeSeung Min YooBilal ShakerDoheon LeeJingyu LeeJong Myoung ParkSol ChoiJeong Wook Lee
- Topics
- Computational Drug Discovery Methods (13 papers)RNA and protein synthesis mechanisms (12 papers)CRISPR and Genetic Engineering (11 papers)
- Partner nations
- South KoreaCanadaPakistan
In The Last Decade
Dokyun Na
80 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.7k
- Biomedical Engineering 698
- Computational Theory and Mathematics 445
- Genetics 411
- Cancer Research 248
Countries citing papers authored by Dokyun Na
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).
Fields of papers citing papers by Dokyun Na
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.
Co-authorship network of co-authors of Dokyun Na
This figure shows the co-authorship network connecting the top 25 collaborators of Dokyun Na. A scholar is included among the top collaborators of Dokyun Na 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 Dokyun Na. Dokyun Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 15 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | In silico methods and tools for drug discoverybreakdown → | 352 |
| 12 | 18 | |
| 13 | 139 | |
| 14 | 10 | |
| 15 | 18 | |
| 16 | 21 | |
| 17 | Systems metabolic engineering of microorganisms for natural and non-natural chemicalsbreakdown → | 553 |
| 18 | 103 | |
| 19 | 4 | |
| 20 | Fuzzy continuous petri net-based approach for modeling immune systems | 3 |
About Dokyun Na
Dokyun Na is a scholar working on Molecular Biology, Computational Theory and Mathematics and Developmental Neuroscience, having authored 84 papers that have together received 3.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), RNA and protein synthesis mechanisms (12 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Computational Theory and Mathematics (445 citations) and Cancer Research (248 citations). Dokyun Na has collaborated with scholars based in South Korea, Canada and Pakistan. Frequent co-authors include Sang Yup Lee, Seung Min Yoo, Bilal Shaker, Doheon Lee, Jingyu Lee, Jong Myoung Park, Sol Choi, Jeong Wook Lee, Joungmin Lee and Hannah Chung. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.
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.