Se Jin Song

48 papers and 5.0k indexed citations i.

About

Se Jin Song is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Se Jin Song has authored 48 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 9 papers in Physiology and 9 papers in Genetics. Recurrent topics in Se Jin Song’s work include Gut microbiota and health (36 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Se Jin Song is often cited by papers focused on Gut microbiota and health (36 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Se Jin Song collaborates with scholars based in United States, France and Puerto Rico. Se Jin Song's co-authors include Rob Knight, Jessica L. Metcalf, Amnon Amir, José C. Clemente, Katherine R. Amato, Zhenjiang Zech Xu, Donna Berg-Lyons, J. Gregory Caporaso, Christian L. Lauber and Yoshiki Vázquez‐Baeza and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Se Jin Song i

Fields of papers citing papers by Se Jin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Se Jin Song

Since Specialization
Citations

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