Taeksun Song

28 papers and 1.2k indexed citations i.

About

Taeksun Song is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Taeksun Song has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 12 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in Taeksun Song’s work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (11 papers) and Biochemical and Molecular Research (5 papers). Taeksun Song is often cited by papers focused on Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (11 papers) and Biochemical and Molecular Research (5 papers). Taeksun Song collaborates with scholars based in South Korea, United States and South Africa. Taeksun Song's co-authors include Robert N. Husson, Sahadevan Raman, William R. Jacobs, Stoyan Bardarov, Xiaoling Puyang, Clifton E. Barry, Laura E. Via, Myungsun Lee, Kenneth N. Olivier and Sang Nae Cho and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Molecular Biology.

In The Last Decade

Co-authorship network of co-authors of Taeksun Song i

Fields of papers citing papers by Taeksun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Taeksun Song

Since Specialization
Citations

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