Long‐Sheng Song

118 papers and 8.1k indexed citations i.

About

Long‐Sheng Song is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Long‐Sheng Song has authored 118 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 84 papers in Cardiology and Cardiovascular Medicine and 30 papers in Cellular and Molecular Neuroscience. Recurrent topics in Long‐Sheng Song’s work include Cardiac electrophysiology and arrhythmias (72 papers), Ion channel regulation and function (58 papers) and Neuroscience and Neural Engineering (14 papers). Long‐Sheng Song is often cited by papers focused on Cardiac electrophysiology and arrhythmias (72 papers), Ion channel regulation and function (58 papers) and Neuroscience and Neural Engineering (14 papers). Long‐Sheng Song collaborates with scholars based in United States, China and Canada. Long‐Sheng Song's co-authors include Heping Cheng, Edward G. Lakatta, Biyi Chen, Ang Guo, Mark E. Anderson, Sílvia Guatimosim, W. Jonathan Lederer, Peter J. Mohler, Michael D. Stern and Shi‐Qiang Wang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Long‐Sheng Song i

Fields of papers citing papers by Long‐Sheng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long‐Sheng Song

Since Specialization
Citations

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