Xin Dai
About
Xin Dai is a scholar working on Molecular Biology, Accounting and Economics and Econometrics.
According to data from OpenAlex, Xin Dai has authored 32 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Accounting and 8 papers in Economics and Econometrics. Recurrent topics in Xin Dai’s work include Corporate Finance and Governance (10 papers), MicroRNA in disease regulation (5 papers) and Corporate Taxation and Avoidance (4 papers). Xin Dai is often cited by papers focused on Corporate Finance and Governance (10 papers), MicroRNA in disease regulation (5 papers) and Corporate Taxation and Avoidance (4 papers). Xin Dai collaborates with scholars based in China, United States and South Korea. Xin Dai's co-authors include Huihui Xu, Yong Xu, Liming Yu, Xinyu Weng and Fei Fang and has published in prestigious journals such as Nature Communications, Circulation Research and Biochemical Journal.
In The Last Decade
Fields of papers citing papers by Xin 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 Xin Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xin Dai may publish in the future.
Countries citing papers authored by Xin Dai
Since SpecializationCitations
This map shows the geographic impact of Xin 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 Xin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Dai more than expected).
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