Song Feng

About

Song Feng is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Song Feng has authored 37 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Epidemiology and 8 papers in Cancer Research. Recurrent topics in Song Feng’s work include Respiratory viral infections research (6 papers), Plant Virus Research Studies (5 papers) and Moyamoya disease diagnosis and treatment (4 papers). Song Feng is often cited by papers focused on Respiratory viral infections research (6 papers), Plant Virus Research Studies (5 papers) and Moyamoya disease diagnosis and treatment (4 papers). Song Feng collaborates with scholars based in China, Switzerland and Hong Kong. Song Feng's co-authors include Feng Jin, Hong C. Shen, Hongying Yun, Lu Gao and Lisha Wang and has published in prestigious journals such as Journal of Medicinal Chemistry, American Journal of Transplantation and European Journal of Medicinal Chemistry.

In The Last Decade

Fields of papers citing papers by Song Feng

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

Countries citing papers authored by Song Feng

Since Specialization

Citations

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

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