Michael Song

12 papers and 786 indexed citations i.

About

Michael Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Sensory Systems. According to data from OpenAlex, Michael Song has authored 12 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Sensory Systems. Recurrent topics in Michael Song’s work include Ion Channels and Receptors (4 papers), Ion channel regulation and function (4 papers) and Genomics and Chromatin Dynamics (2 papers). Michael Song is often cited by papers focused on Ion Channels and Receptors (4 papers), Ion channel regulation and function (4 papers) and Genomics and Chromatin Dynamics (2 papers). Michael Song collaborates with scholars based in United States and Canada. Michael Song's co-authors include Jason X.‐J. Yuan, Ayako Makino, Frank Kuhr, Kimberly A. Smith, Irena Levitan, Bo Huang, Bingkun Li, J M Alexander, Yin Shen and Juan Guan and has published in prestigious journals such as Journal of Applied Physiology, Journal of Bone and Mineral Research and Cardiovascular Research.

In The Last Decade

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

Fields of papers citing papers by Michael Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Song

Since Specialization
Citations

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