Hui Dai
About
Hui Dai is a scholar working on Molecular Biology, Oncology and Cancer Research.
According to data from OpenAlex, Hui Dai has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 23 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Hui Dai’s work include DNA Repair Mechanisms (18 papers), CRISPR and Genetic Engineering (9 papers) and PARP inhibition in cancer therapy (9 papers). Hui Dai is often cited by papers focused on DNA Repair Mechanisms (18 papers), CRISPR and Genetic Engineering (9 papers) and PARP inhibition in cancer therapy (9 papers). Hui Dai collaborates with scholars based in United States, China and Brazil. Hui Dai's co-authors include Shiaw‐Yih Lin, Guang Peng, Kaiyi Li, Gordon B. Mills and Daniel J. McGrail and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
In The Last Decade
Fields of papers citing papers by Hui 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 Hui Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hui Dai may publish in the future.
Countries citing papers authored by Hui Dai
Since SpecializationCitations
This map shows the geographic impact of Hui 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 Hui Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Dai more than expected).
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