Jie Dai
About
Jie Dai is a scholar working on Molecular Biology, Cancer Research and Genetics.
According to data from OpenAlex, Jie Dai has authored 23 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Jie Dai’s work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers) and Estrogen and related hormone effects (4 papers). Jie Dai is often cited by papers focused on MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers) and Estrogen and related hormone effects (4 papers). Jie Dai collaborates with scholars based in China, United States and Germany. Jie Dai's co-authors include Samuel Waxman, Yongkui Jing, Lijun Yang, Lihong Yan and Litao Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.
In The Last Decade
Fields of papers citing papers by Jie 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 Jie Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jie Dai may publish in the future.
Countries citing papers authored by Jie Dai
Since SpecializationCitations
This map shows the geographic impact of Jie 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 Jie Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Dai more than expected).
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