Sun Kim

79 papers and 3.2k indexed citations i.

About

Sun Kim is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Sun Kim has authored 79 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 26 papers in Plant Science and 18 papers in Epidemiology. Recurrent topics in Sun Kim’s work include Burkholderia infections and melioidosis (15 papers), Antibiotic Resistance in Bacteria (12 papers) and Agriculture, Soil, Plant Science (12 papers). Sun Kim is often cited by papers focused on Burkholderia infections and melioidosis (15 papers), Antibiotic Resistance in Bacteria (12 papers) and Agriculture, Soil, Plant Science (12 papers). Sun Kim collaborates with scholars based in United States, South Korea and Canada. Sun Kim's co-authors include William C. Nierman, Junghyun Hwang, Han Song, David DeShazer, Young Yoo, Ricky L. Ulrich, Yun‐Cheol Na, Hyojeong Yi, Natalie D. Fedorova and Stephen K. Farrand and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bacteriology.

In The Last Decade

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

Fields of papers citing papers by Sun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sun Kim

Since Specialization
Citations

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