Young-Jun Kim

About

Young-Jun Kim is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Young-Jun Kim has authored 58 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Artificial Intelligence and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Young-Jun Kim’s work include Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (12 papers) and Diverse Approaches in Healthcare and Education Studies (10 papers). Young-Jun Kim is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (12 papers) and Diverse Approaches in Healthcare and Education Studies (10 papers). Young-Jun Kim collaborates with scholars based in United States and South Korea. Young-Jun Kim's co-authors include Stéphane M. Meystre, Youngjae Shin, Jennifer H. Garvin, Ellen Riloff, Hyejung Mok, John F. Hurdle, Andrew Redd, Bruce E. Bray, Carolyn D. Britten and Michael E. Matheny and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and Emerging infectious diseases.

In The Last Decade

Co-authorship network of co-authors of Young-Jun Kim i

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Fields of papers citing papers by Young-Jun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Young-Jun Kim

Since Specialization

Citations

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