Kun Song
About
Kun Song is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Materials Chemistry.
According to data from OpenAlex, Kun Song has authored 156 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 25 papers in Oncology and 23 papers in Materials Chemistry. Recurrent topics in Kun Song’s work include Endometrial and Cervical Cancer Treatments (19 papers), Nanoplatforms for cancer theranostics (15 papers) and Ovarian cancer diagnosis and treatment (15 papers). Kun Song is often cited by papers focused on Endometrial and Cervical Cancer Treatments (19 papers), Nanoplatforms for cancer theranostics (15 papers) and Ovarian cancer diagnosis and treatment (15 papers). Kun Song collaborates with scholars based in China, United States and Canada. Kun Song's co-authors include Beihua Kong, Beihua Kong, Shu Yao, Xuantao Su and Ran Chu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.
In The Last Decade
Fields of papers citing papers by Kun Song
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 Kun Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun Song may publish in the future.
Countries citing papers authored by Kun Song
Since SpecializationCitations
This map shows the geographic impact of Kun Song'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 Kun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Song more than expected).
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