Long‐Sheng Song
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 SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Long‐Sheng Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Long‐Sheng Song may publish in the future.
Countries citing papers authored by Long‐Sheng Song
Since SpecializationCitations
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).
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