Chung S. Song

41 papers and 2.2k indexed citations i.

About

Chung S. Song is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Chung S. Song has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Genetics. Recurrent topics in Chung S. Song’s work include Estrogen and related hormone effects (17 papers), Hormonal and reproductive studies (12 papers) and Hormonal Regulation and Hypertension (8 papers). Chung S. Song is often cited by papers focused on Estrogen and related hormone effects (17 papers), Hormonal and reproductive studies (12 papers) and Hormonal Regulation and Hypertension (8 papers). Chung S. Song collaborates with scholars based in United States, South Korea and Russia. Chung S. Song's co-authors include Bandana Chatterjee, Arun K. Roy, Soon‐Cheol Ahn, Ibtissam Echchgadda, Yan Lavrovsky, Rakesh K. Tyagi, Prakash C. Supakar, Taesung Oh, Bandana Chatterjee and Myeong Ho Jung and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Chung S. Song i

Fields of papers citing papers by Chung S. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chung S. Song

Since Specialization
Citations

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