In-Sung Song

About

In-Sung Song is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, In-Sung Song has authored 14 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in In-Sung Song’s work include Cardiac Ischemia and Reperfusion (4 papers), Neuropeptides and Animal Physiology (3 papers) and Mitochondrial Function and Pathology (2 papers). In-Sung Song is often cited by papers focused on Cardiac Ischemia and Reperfusion (4 papers), Neuropeptides and Animal Physiology (3 papers) and Mitochondrial Function and Pathology (2 papers). In-Sung Song collaborates with scholars based in South Korea, United States and Russia. In-Sung Song's co-authors include Nigel W. Bunnett, John E. Olerud, John C. Ansel, Cheryl A. Armstrong, Kimberly L. Quinlan, S. Wright Caughman, Byoung Doo Rhee, Nari Kim, Jin Han and Kyung Soo Ko and has published in prestigious journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and Journal of Investigative Dermatology.

In The Last Decade

Co-authorship network of co-authors of In-Sung Song i

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Fields of papers citing papers by In-Sung Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by In-Sung Song

Since Specialization

Citations

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