Unmi Kim

About

Unmi Kim is a scholar working on Molecular Biology, Materials Chemistry and Ecology. According to data from OpenAlex, Unmi Kim has authored 6 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Materials Chemistry and 1 paper in Ecology. Recurrent topics in Unmi Kim’s work include Enzyme Structure and Function (4 papers), Genomics and Phylogenetic Studies (3 papers) and Protein Structure and Dynamics (2 papers). Unmi Kim is often cited by papers focused on Enzyme Structure and Function (4 papers), Genomics and Phylogenetic Studies (3 papers) and Protein Structure and Dynamics (2 papers). Unmi Kim collaborates with scholars based in United States. Unmi Kim's co-authors include Robert P. Gunsalus, Lars Rohlin, Jessica R. Sieber, John W. Campbell, Michael J. McInerney, Housna Mouttaki, Rebecca Krupp, Anamitra Bhattacharyya, Christopher G. Struchtemeyer and Karen L. Visick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology and Molecular Microbiology.

In The Last Decade

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

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Fields of papers citing papers by Unmi Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Unmi Kim

Since Specialization

Citations

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