Song Gao
About
Song Gao is a scholar working on Radiation, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Song Gao has authored 46 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiation, 18 papers in Biomedical Engineering and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Song Gao’s work include Advanced Radiotherapy Techniques (23 papers), Radiation Therapy and Dosimetry (12 papers) and Advanced X-ray and CT Imaging (12 papers). Song Gao is often cited by papers focused on Advanced Radiotherapy Techniques (23 papers), Radiation Therapy and Dosimetry (12 papers) and Advanced X-ray and CT Imaging (12 papers). Song Gao collaborates with scholars based in United States, China and United Kingdom. Song Gao's co-authors include Peter Balter, Laurence E. Court, William E. Simon, Tucker Netherton and Ann H. Klopp and has published in prestigious journals such as Radiology, ACS Applied Materials & Interfaces and Journal of Colloid and Interface Science.
In The Last Decade
Fields of papers citing papers by Song Gao
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 Gao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Gao may publish in the future.
Countries citing papers authored by Song Gao
Since SpecializationCitations
This map shows the geographic impact of Song Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Gao more than expected).
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