Song Shen

About

Song Shen is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Song Shen has authored 78 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Immunology and 28 papers in Biomedical Engineering. Recurrent topics in Song Shen’s work include Immunotherapy and Immune Responses (20 papers), RNA Interference and Gene Delivery (20 papers) and Nanoplatforms for cancer theranostics (19 papers). Song Shen is often cited by papers focused on Immunotherapy and Immune Responses (20 papers), RNA Interference and Gene Delivery (20 papers) and Nanoplatforms for cancer theranostics (19 papers). Song Shen collaborates with scholars based in China, United States and France. Song Shen's co-authors include Jun Wang, Xianzhu Yang, Cong‐Fei Xu and Xiao‐Jiao Du and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Journal of Neuroscience.

In The Last Decade

Fields of papers citing papers by Song Shen

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 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 Specialization

Citations

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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