Seung-Eun Song

19 papers and 364 indexed citations i.

About

Seung-Eun Song is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Seung-Eun Song has authored 19 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Seung-Eun Song’s work include Mycobacterium research and diagnosis (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Seung-Eun Song is often cited by papers focused on Mycobacterium research and diagnosis (4 papers), Tuberculosis Research and Epidemiology (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Seung-Eun Song collaborates with scholars based in South Korea, United States and Canada. Seung-Eun Song's co-authors include Dae‐Kyu Song, Su‐Kyung Shin, Hyun-Woo Cho, Daniel A. Powers, Seung‐Soon Im, W. Parker Frisbie, Jae‐Hoon Bae, Taeksun Song, Robert N. Husson and Sahadevan Raman and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Life Sciences.

In The Last Decade

Co-authorship network of co-authors of Seung-Eun Song i

Fields of papers citing papers by Seung-Eun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seung-Eun Song

Since Specialization
Citations

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