Sung Eun Song

60 papers and 811 indexed citations i.

About

Sung Eun Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Sung Eun Song has authored 60 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pathology and Forensic Medicine and 22 papers in Cancer Research. Recurrent topics in Sung Eun Song’s work include Breast Lesions and Carcinomas (19 papers), Breast Cancer Treatment Studies (19 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Sung Eun Song is often cited by papers focused on Breast Lesions and Carcinomas (19 papers), Breast Cancer Treatment Studies (19 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Sung Eun Song collaborates with scholars based in South Korea, Germany and United Kingdom. Sung Eun Song's co-authors include Bo Kyoung Seo, Kyu Ran Cho, Ok Hee Woo, Woo Kyung Moon, Jaehyung Cha, Gil Soo Son, Sung Ui Shin, Eun Kyung Park, Han Suk Ryu and Min Sun Bae and has published in prestigious journals such as Gastroenterology, Scientific Reports and Radiology.

In The Last Decade

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

Fields of papers citing papers by Sung Eun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sung Eun Song

Since Specialization
Citations

This map shows the geographic impact of Sung 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 Sung 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 Sung 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