Yan Dai
About
Yan Dai is a scholar working on Oncology, Materials Chemistry and Organic Chemistry.
According to data from OpenAlex, Yan Dai has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Materials Chemistry and 8 papers in Organic Chemistry. Recurrent topics in Yan Dai’s work include Drug Transport and Resistance Mechanisms (5 papers), Berberine and alkaloids research (4 papers) and Asymmetric Synthesis and Catalysis (3 papers). Yan Dai is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Berberine and alkaloids research (4 papers) and Asymmetric Synthesis and Catalysis (3 papers). Yan Dai collaborates with scholars based in China, United Kingdom and Macao. Yan Dai's co-authors include Yueming Ma, Tianming Wang, Rong Shi, Bing‐Liang Ma and Min Zheng and has published in prestigious journals such as Journal of the American Chemical Society, Scientific Reports and Journal of Catalysis.
In The Last Decade
Fields of papers citing papers by Yan Dai
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 Yan Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yan Dai may publish in the future.
Countries citing papers authored by Yan Dai
Since SpecializationCitations
This map shows the geographic impact of Yan Dai'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 Yan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Dai more than expected).
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