Won Seok Song

102 papers and 2.0k indexed citations i.

About

Won Seok Song is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Surgery. According to data from OpenAlex, Won Seok Song has authored 102 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Pulmonary and Respiratory Medicine, 49 papers in Rheumatology and 32 papers in Surgery. Recurrent topics in Won Seok Song’s work include Sarcoma Diagnosis and Treatment (72 papers), Bone Tumor Diagnosis and Treatments (47 papers) and Cardiac tumors and thrombi (23 papers). Won Seok Song is often cited by papers focused on Sarcoma Diagnosis and Treatment (72 papers), Bone Tumor Diagnosis and Treatments (47 papers) and Cardiac tumors and thrombi (23 papers). Won Seok Song collaborates with scholars based in South Korea, United States and Egypt. Won Seok Song's co-authors include Dae‐Geun Jeon, Soo‐Yong Lee, Chang‐Bae Kong, Min Suk Kim, Wan Hyeong Cho, Jeong Joon Yoo, Hee Joong Kim, Jae‐Soo Koh, Ji Young Yoo and Jun Ah Lee and has published in prestigious journals such as PLoS ONE, Journal of Bone and Joint Surgery and Clinical Orthopaedics and Related Research.

In The Last Decade

Co-authorship network of co-authors of Won Seok Song i

Fields of papers citing papers by Won Seok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Won Seok Song

Since Specialization
Citations

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