Jae-Min Song

34 papers and 1.7k indexed citations i.

About

Jae-Min Song is a scholar working on Epidemiology, Immunology and Pharmaceutical Science. According to data from OpenAlex, Jae-Min Song has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 23 papers in Immunology and 11 papers in Pharmaceutical Science. Recurrent topics in Jae-Min Song’s work include Influenza Virus Research Studies (21 papers), Respiratory viral infections research (15 papers) and Advancements in Transdermal Drug Delivery (11 papers). Jae-Min Song is often cited by papers focused on Influenza Virus Research Studies (21 papers), Respiratory viral infections research (15 papers) and Advancements in Transdermal Drug Delivery (11 papers). Jae-Min Song collaborates with scholars based in United States, South Korea and United Kingdom. Jae-Min Song's co-authors include Sang‐Moo Kang, Richard W. Compans, Fu‐Shi Quan, Dae‐Goon Yoo, Mark R. Prausnitz, Yeu‐Chun Kim, Rubén O. Donis, O Eunju, Aleksandr S. Lipatov and Young‐Man Kwon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

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

Fields of papers citing papers by Jae-Min Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jae-Min Song

Since Specialization
Citations

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