Yejia Song
About
Yejia Song is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience.
According to data from OpenAlex, Yejia Song has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 31 papers in Molecular Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yejia Song’s work include Cardiac electrophysiology and arrhythmias (33 papers), Ion channel regulation and function (31 papers) and Neuroscience and Neural Engineering (10 papers). Yejia Song is often cited by papers focused on Cardiac electrophysiology and arrhythmias (33 papers), Ion channel regulation and function (31 papers) and Neuroscience and Neural Engineering (10 papers). Yejia Song collaborates with scholars based in United States, China and Canada. Yejia Song's co-authors include Luiz Belardinelli, John C. Shryock, Lin Wu, Charles Antzelevitch, Miduturu Srinivas, Daqing Wang, Lars S. Maier, Stefan Wagner, Sridharan Rajamani and Bruce B. Lerman and has published in prestigious journals such as Circulation, Circulation Research and The Journal of Physiology.
In The Last Decade
Co-authorship network of co-authors of Yejia Song i
Fields of papers citing papers by Yejia 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 Yejia Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yejia Song may publish in the future.
Countries citing papers authored by Yejia Song
Since SpecializationCitations
This map shows the geographic impact of Yejia 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 Yejia Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yejia Song more than expected).
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