Sukhyun Song

21 papers and 653 indexed citations i.

About

Sukhyun Song is a scholar working on Molecular Biology, Computer Networks and Communications and Surgery. According to data from OpenAlex, Sukhyun Song has authored 21 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Computer Networks and Communications and 3 papers in Surgery. Recurrent topics in Sukhyun Song’s work include Congenital heart defects research (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Parallel Computing and Optimization Techniques (3 papers). Sukhyun Song is often cited by papers focused on Congenital heart defects research (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Parallel Computing and Optimization Techniques (3 papers). Sukhyun Song collaborates with scholars based in South Korea, United States and Japan. Sukhyun Song's co-authors include Gou Young Koh, Jennifer H. Shin, Injune Kim, Dae Young Park, Kangsan Kim, Seung Hun Lee, Yoonha Hwang, Taija Mäkinen, Yoshiaki Kubota and Dongwon Choi and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Blood.

In The Last Decade

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

Fields of papers citing papers by Sukhyun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sukhyun Song

Since Specialization
Citations

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