Songmi Kim

21 papers and 373 indexed citations i.

About

Songmi Kim is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Songmi Kim has authored 21 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Songmi Kim’s work include RNA and protein synthesis mechanisms (5 papers), Chemical Synthesis and Analysis (4 papers) and Computational Drug Discovery Methods (4 papers). Songmi Kim is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Chemical Synthesis and Analysis (4 papers) and Computational Drug Discovery Methods (4 papers). Songmi Kim collaborates with scholars based in South Korea, United States and Italy. Songmi Kim's co-authors include Keun Woo Lee, Yuno Lee, Sugunadevi Sakkiah, Mahreen Arooj, Sundarapandian Thangapandian, Shalini John, Hyeong Cheol Park, José M. Pardo, Natalia Raddatz and Dongwon Baek and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Songmi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songmi Kim

Since Specialization
Citations

This map shows the geographic impact of Songmi 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 Songmi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songmi 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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2025