Parkyong Song

36 papers and 1.1k indexed citations i.

About

Parkyong Song is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Parkyong Song has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Physiology and 6 papers in Immunology. Recurrent topics in Parkyong Song’s work include Adipose Tissue and Metabolism (6 papers), Immune Cell Function and Interaction (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Parkyong Song is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Immune Cell Function and Interaction (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Parkyong Song collaborates with scholars based in South Korea, Sweden and United States. Parkyong Song's co-authors include Jong Hyuk Yoon, Sung Ho Ryu, Jaewang Ghim, Yonghoon Kwon, Sungwon Bae, Genaro Hernandez, Steven A. Kliewer, Yang Woo Kwon, Youngsuk Seo and Minseok Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Parkyong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Parkyong Song

Since Specialization
Citations

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