Xiaoxia Dai

About

Xiaoxia Dai is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Xiaoxia Dai has authored 11 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Xiaoxia Dai’s work include Viral Infections and Vectors (3 papers), Circular RNAs in diseases (2 papers) and Selenium in Biological Systems (2 papers). Xiaoxia Dai is often cited by papers focused on Viral Infections and Vectors (3 papers), Circular RNAs in diseases (2 papers) and Selenium in Biological Systems (2 papers). Xiaoxia Dai collaborates with scholars based in China, Japan and United States. Xiaoxia Dai's co-authors include Yongmin Xiong, Yonglie Chu, Dexin Li, Na Li and Quanfu Zhang and has published in prestigious journals such as Experimental Cell Research, British Journal Of Nutrition and Vaccine.

In The Last Decade

Fields of papers citing papers by Xiaoxia Dai

Since Specialization

EngineeringComputer 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 Xiaoxia Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoxia Dai may publish in the future.

Countries citing papers authored by Xiaoxia Dai

Since Specialization

Citations

This map shows the geographic impact of Xiaoxia 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 Xiaoxia Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxia Dai more than expected).

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