Junseok Park

9 papers and 391 indexed citations i.

About

Junseok Park is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Junseok Park has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Junseok Park’s work include Biomedical Text Mining and Ontologies (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced Text Analysis Techniques (2 papers). Junseok Park is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced Text Analysis Techniques (2 papers). Junseok Park collaborates with scholars based in South Korea, United Kingdom and France. Junseok Park's co-authors include Doheon Lee, Sunjae Lee, Jens Nielsen, Gholamreza Bidkhori, Stefania Vaga, Boyang Ji, Lars Agréus, Gordon Proctor, Lars Engstrand and Nicholas J. Talley and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Junseok Park i

Fields of papers citing papers by Junseok Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Junseok Park

Since Specialization
Citations

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