Sang Ok Song

9 papers and 227 indexed citations i.

About

Sang Ok Song is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Sang Ok Song has authored 9 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Epidemiology. Recurrent topics in Sang Ok Song’s work include Advanced biosensing and bioanalysis techniques (3 papers), Wireless Body Area Networks (3 papers) and Molecular Communication and Nanonetworks (3 papers). Sang Ok Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (3 papers), Wireless Body Area Networks (3 papers) and Molecular Communication and Nanonetworks (3 papers). Sang Ok Song collaborates with scholars based in United States and South Korea. Sang Ok Song's co-authors include Youssef Chahibi, Ian F. Akyildiz, Massimiliano Pierobon, Jeffrey D. Varner, Anirikh Chakrabarti, Justin Hogg, Zhiyong Peng, Robert S. Parker, Gilles Clermont and John A. Kellum and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Neurobiology of Aging.

In The Last Decade

Co-authorship network of co-authors of Sang Ok Song i

Fields of papers citing papers by Sang Ok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sang Ok Song

Since Specialization
Citations

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