Dai
About
Dai is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Dai has authored 88 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dai’s work include Helicobacter pylori-related gastroenterology studies (5 papers), Anesthesia and Neurotoxicity Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Dai is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (5 papers), Anesthesia and Neurotoxicity Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Dai collaborates with scholars based in China and Germany. Dai's co-authors include Yi ̆, Zhang, Li, Zhu Zhu and Yan and has published in prestigious journals such as Clinical & Experimental Allergy, The Veterinary Journal and Oncology Reports.
In The Last Decade
Fields of papers citing papers by 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 Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dai may publish in the future.
Countries citing papers authored by Dai
Since SpecializationCitations
This map shows the geographic impact of 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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai more than expected).
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