Kyung-Mi Song

10 papers and 1.8k indexed citations i.

About

Kyung-Mi Song is a scholar working on Molecular Biology, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Kyung-Mi Song has authored 10 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Biomedical Engineering and 2 papers in Spectroscopy. Recurrent topics in Kyung-Mi Song’s work include Advanced biosensing and bioanalysis techniques (8 papers), Biosensors and Analytical Detection (6 papers) and RNA Interference and Gene Delivery (3 papers). Kyung-Mi Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Biosensors and Analytical Detection (6 papers) and RNA Interference and Gene Delivery (3 papers). Kyung-Mi Song collaborates with scholars based in South Korea and United States. Kyung-Mi Song's co-authors include Changill Ban, Seonghwan Lee, Minseon Cho, Hunho Jo, Yoon‐Bo Shim, Kyoungin Min, Eui-Young Jeong, Ja Kang Ku, Min Su Han and Taisun Kim and has published in prestigious journals such as Biomaterials, Analytical Biochemistry and Nature Structural & Molecular Biology.

In The Last Decade

Co-authorship network of co-authors of Kyung-Mi Song i

Fields of papers citing papers by Kyung-Mi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung-Mi Song. 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 Kyung-Mi Song. The network helps show where Kyung-Mi Song may publish in the future.

Countries citing papers authored by Kyung-Mi Song

Since Specialization
Citations

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