Song Ya
About
Song Ya is a scholar working on Materials Chemistry, Molecular Biology and Surgery.
According to data from OpenAlex, Song Ya has authored 26 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 6 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Song Ya’s work include Luminescence Properties of Advanced Materials (4 papers), Luminescence and Fluorescent Materials (3 papers) and Inorganic Fluorides and Related Compounds (3 papers). Song Ya is often cited by papers focused on Luminescence Properties of Advanced Materials (4 papers), Luminescence and Fluorescent Materials (3 papers) and Inorganic Fluorides and Related Compounds (3 papers). Song Ya collaborates with scholars based in China, United States and United Kingdom. Song Ya's co-authors include Lijian Xu, Jianxiong Xu, Shaowen Xie, Guo Gong and Haihu Tan and has published in prestigious journals such as Langmuir, The American Journal of Sports Medicine and Gene.
In The Last Decade
Fields of papers citing papers by Song Ya
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 Song Ya. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Ya may publish in the future.
Countries citing papers authored by Song Ya
Since SpecializationCitations
This map shows the geographic impact of Song Ya'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 Ya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Ya more than expected).
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