Xiaoling Dai
About
Xiaoling Dai is a scholar working on Immunology, Microbiology and Molecular Biology.
According to data from OpenAlex, Xiaoling Dai has authored 45 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 9 papers in Microbiology and 7 papers in Molecular Biology. Recurrent topics in Xiaoling Dai’s work include Invertebrate Immune Response Mechanisms (22 papers), Aquaculture disease management and microbiota (17 papers) and Antimicrobial Peptides and Activities (9 papers). Xiaoling Dai is often cited by papers focused on Invertebrate Immune Response Mechanisms (22 papers), Aquaculture disease management and microbiota (17 papers) and Antimicrobial Peptides and Activities (9 papers). Xiaoling Dai collaborates with scholars based in China, United States and United Kingdom. Xiaoling Dai's co-authors include Xueying Cao, Ruidong Zhang, Kaiqiang Wang, Qian Ren and Xin Huang and has published in prestigious journals such as Gastroenterology, Hypertension and Frontiers in Immunology.
In The Last Decade
Fields of papers citing papers by Xiaoling 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 Xiaoling Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoling Dai may publish in the future.
Countries citing papers authored by Xiaoling Dai
Since SpecializationCitations
This map shows the geographic impact of Xiaoling 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 Xiaoling Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Dai more than expected).
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