Song Li
About
Song Li is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Song Li has authored 138 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 25 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Song Li’s work include Radiomics and Machine Learning in Medical Imaging (9 papers), Head and Neck Cancer Studies (8 papers) and Cancer-related molecular mechanisms research (7 papers). Song Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Head and Neck Cancer Studies (8 papers) and Cancer-related molecular mechanisms research (7 papers). Song Li collaborates with scholars based in China, United States and Hong Kong. Song Li's co-authors include Shu Chien, John Y.‐J. Shyy, Michael Kim, Suli Yuan, Ying‐Li Hu, Kuang‐Den Chen, Yi‐Shuan Li, David D. Schlaepfer, Tony Hunter and Shila Jalali and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
In The Last Decade
Co-authorship network of co-authors of Song Li i
Fields of papers citing papers by Song Li
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 Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Li may publish in the future.
Countries citing papers authored by Song Li
Since SpecializationCitations
This map shows the geographic impact of Song Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Li more than expected).
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