Eunseop Song

28 papers and 331 indexed citations i.

About

Eunseop Song is a scholar working on Epidemiology, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Eunseop Song has authored 28 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Molecular Biology and 6 papers in Reproductive Medicine. Recurrent topics in Eunseop Song’s work include Cervical Cancer and HPV Research (9 papers), Ovarian cancer diagnosis and treatment (4 papers) and Uterine Myomas and Treatments (3 papers). Eunseop Song is often cited by papers focused on Cervical Cancer and HPV Research (9 papers), Ovarian cancer diagnosis and treatment (4 papers) and Uterine Myomas and Treatments (3 papers). Eunseop Song collaborates with scholars based in South Korea, Italy and United States. Eunseop Song's co-authors include Jong‐Min Lee, Mi Kyung Kim, Jae Kwan Lee, Jae‐Hoon Kim, Seo‐Yun Tong, Kwang Beom Lee, Hun Jae Lee, Tae Sook Hwang, B.-H. Kwon and Simonetta Friso and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Obstetrics and Gynecology and Clinical Microbiology and Infection.

In The Last Decade

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

Fields of papers citing papers by Eunseop Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eunseop Song

Since Specialization
Citations

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