Kai Yang
About
Kai Yang is a scholar working on Molecular Biology, Biomedical Engineering and Microbiology.
According to data from OpenAlex, Kai Yang has authored 116 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 26 papers in Biomedical Engineering and 21 papers in Microbiology. Recurrent topics in Kai Yang’s work include Lipid Membrane Structure and Behavior (47 papers), Antimicrobial Peptides and Activities (21 papers) and RNA Interference and Gene Delivery (15 papers). Kai Yang is often cited by papers focused on Lipid Membrane Structure and Behavior (47 papers), Antimicrobial Peptides and Activities (21 papers) and RNA Interference and Gene Delivery (15 papers). Kai Yang collaborates with scholars based in China, Australia and United States. Kai Yang's co-authors include Bing Yuan, Yu‐qiang Ma, Jingliang Li, Jiaojiao Liu and Xuemei Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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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