Dai Dai
About
Dai Dai is a scholar working on Immunology, Rheumatology and Cancer Research.
According to data from OpenAlex, Dai Dai has authored 17 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Rheumatology and 4 papers in Cancer Research. Recurrent topics in Dai Dai’s work include Immune Cell Function and Interaction (8 papers), Systemic Lupus Erythematosus Research (7 papers) and T-cell and B-cell Immunology (4 papers). Dai Dai is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Systemic Lupus Erythematosus Research (7 papers) and T-cell and B-cell Immunology (4 papers). Dai Dai collaborates with scholars based in China and United States. Dai Dai's co-authors include Nan Shen, Chao Yao, Huiguang He, Guojun Hou and Huihua Ding and has published in prestigious journals such as Immunity, The Journal of Immunology and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Dai 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 Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dai Dai may publish in the future.
Countries citing papers authored by Dai Dai
Since SpecializationCitations
This map shows the geographic impact of Dai 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 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 Dai more than expected).
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