Min Sup Song

53 papers and 5.1k indexed citations i.

About

Min Sup Song is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Min Sup Song has authored 53 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Physiology. Recurrent topics in Min Sup Song’s work include Ubiquitin and proteasome pathways (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Microtubule and mitosis dynamics (6 papers). Min Sup Song is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Microtubule and mitosis dynamics (6 papers). Min Sup Song collaborates with scholars based in United States, China and South Korea. Min Sup Song's co-authors include Pier Paolo Pandolfi, Leonardo Salmena, Su Jung Song, Ainara Egia, Arkaitz Carracedo, Dae‐Sik Lim, Robin M. Hobbs, Julie Teruya‐Feldstein, Francesco Lo‐Coco and Laura Poliseno and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Min Sup Song i

Fields of papers citing papers by Min Sup Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Sup 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 Min Sup Song. The network helps show where Min Sup Song may publish in the future.

Countries citing papers authored by Min Sup Song

Since Specialization
Citations

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