Chao Dai
About
Chao Dai is a scholar working on Molecular Biology, Cancer Research and Oncology.
According to data from OpenAlex, Chao Dai has authored 29 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Chao Dai’s work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Chao Dai is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Chao Dai collaborates with scholars based in China, United States and Australia. Chao Dai's co-authors include Xiangbao Yin, Xin Yu, Jun Gao, Wei Gu and Yanhao Cheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
In The Last Decade
Fields of papers citing papers by Chao 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 Chao Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chao Dai may publish in the future.
Countries citing papers authored by Chao Dai
Since SpecializationCitations
This map shows the geographic impact of Chao 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 Chao Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Dai more than expected).
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