Xiaoli Dai

About

Xiaoli Dai is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Xiaoli Dai has authored 37 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Plant Science and 5 papers in Immunology. Recurrent topics in Xiaoli Dai’s work include Plant nutrient uptake and metabolism (6 papers), Plant Micronutrient Interactions and Effects (4 papers) and Pain Mechanisms and Treatments (3 papers). Xiaoli Dai is often cited by papers focused on Plant nutrient uptake and metabolism (6 papers), Plant Micronutrient Interactions and Effects (4 papers) and Pain Mechanisms and Treatments (3 papers). Xiaoli Dai collaborates with scholars based in China, United States and Taiwan. Xiaoli Dai's co-authors include Guohua Xu, Mian Gu, Hongye Qu, Yazhen Li and Jianguo Chen and has published in prestigious journals such as PLANT PHYSIOLOGY, The Plant Journal and New Phytologist.

In The Last Decade

Fields of papers citing papers by Xiaoli Dai

Since Specialization

EngineeringComputer 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 Xiaoli Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoli Dai may publish in the future.

Countries citing papers authored by Xiaoli Dai

Since Specialization

Citations

This map shows the geographic impact of Xiaoli 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 Xiaoli Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Dai more than expected).

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