Kai Yang
About
Kai Yang is a scholar working on Biomedical Engineering, Materials Chemistry and Biomaterials.
According to data from OpenAlex, Kai Yang has authored 245 papers receiving a total of 27.5k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Biomedical Engineering, 77 papers in Materials Chemistry and 59 papers in Biomaterials. Recurrent topics in Kai Yang’s work include Nanoplatforms for cancer theranostics (146 papers), Nanoparticle-Based Drug Delivery (56 papers) and Graphene and Nanomaterials Applications (41 papers). Kai Yang is often cited by papers focused on Nanoplatforms for cancer theranostics (146 papers), Nanoparticle-Based Drug Delivery (56 papers) and Graphene and Nanomaterials Applications (41 papers). Kai Yang collaborates with scholars based in China, United States and Hong Kong. Kai Yang's co-authors include Zhuang Liu, Xuan Yi, Liang Cheng, Chao Liang and Liangzhu Feng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Reviews and Chemical Society Reviews.
In The Last Decade
Fields of papers citing papers by Kai Yang
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 Kai Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Yang may publish in the future.
Countries citing papers authored by Kai Yang
Since SpecializationCitations
This map shows the geographic impact of Kai Yang'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 Kai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yang more than expected).
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