Song Shen
About
Song Shen is a scholar working on Biomedical Engineering, Biomaterials and Materials Chemistry.
According to data from OpenAlex, Song Shen has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Biomedical Engineering, 36 papers in Biomaterials and 22 papers in Materials Chemistry. Recurrent topics in Song Shen’s work include Nanoplatforms for cancer theranostics (38 papers), Nanoparticle-Based Drug Delivery (32 papers) and Photoacoustic and Ultrasonic Imaging (8 papers). Song Shen is often cited by papers focused on Nanoplatforms for cancer theranostics (38 papers), Nanoparticle-Based Drug Delivery (32 papers) and Photoacoustic and Ultrasonic Imaging (8 papers). Song Shen collaborates with scholars based in China, United States and Ireland. Song Shen's co-authors include Lin Wu, Yanru Ge, Xueyong Qi, Jin Cao and Meng Xie and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Materials and Nano Letters.
In The Last Decade
Fields of papers citing papers by Song Shen
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 Shen. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Shen may publish in the future.
Countries citing papers authored by Song Shen
Since SpecializationCitations
This map shows the geographic impact of Song Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Shen more than expected).
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