Suk‐Won Song

82 papers and 835 indexed citations i.

About

Suk‐Won Song is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Suk‐Won Song has authored 82 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Pulmonary and Respiratory Medicine, 39 papers in Surgery and 33 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Suk‐Won Song’s work include Aortic Disease and Treatment Approaches (40 papers), Aortic aneurysm repair treatments (30 papers) and Cardiac Valve Diseases and Treatments (23 papers). Suk‐Won Song is often cited by papers focused on Aortic Disease and Treatment Approaches (40 papers), Aortic aneurysm repair treatments (30 papers) and Cardiac Valve Diseases and Treatments (23 papers). Suk‐Won Song collaborates with scholars based in South Korea, United States and Germany. Suk‐Won Song's co-authors include Kyung‐Jong Yoo, Gijong Yi, Young‐Nam Youn, Byung‐Chul Chang, Sak Lee, Tae-Hoon Kim, Kwang‐Hun Lee, Jong Mog Lee, Hyun‐Sung Lee and Jae Ill Zo and has published in prestigious journals such as Stroke, Scientific Reports and The American Journal of Cardiology.

In The Last Decade

Co-authorship network of co-authors of Suk‐Won Song i

Fields of papers citing papers by Suk‐Won Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suk‐Won Song

Since Specialization
Citations

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