Erfei Song

About

Erfei Song is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Erfei Song has authored 38 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 14 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in Erfei Song’s work include Autophagy in Disease and Therapy (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Adipose Tissue and Metabolism (5 papers). Erfei Song is often cited by papers focused on Autophagy in Disease and Therapy (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Adipose Tissue and Metabolism (5 papers). Erfei Song collaborates with scholars based in Hong Kong, China and Canada. Erfei Song's co-authors include Aimin Xu, Yu Wang, Gary Sweeney, Paul M. Vanhoutte and Thorsten Berger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Fields of papers citing papers by Erfei Song

Since Specialization

EngineeringComputer 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 Erfei Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Erfei Song may publish in the future.

Countries citing papers authored by Erfei Song

Since Specialization

Citations

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

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