Fan Dai

About

Fan Dai is a scholar working on Molecular Biology, Plant Science and Endocrinology. According to data from OpenAlex, Fan Dai has authored 30 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Plant Science and 5 papers in Endocrinology. Recurrent topics in Fan Dai’s work include Research in Cotton Cultivation (11 papers), Plant and Fungal Interactions Research (5 papers) and Plant Virus Research Studies (5 papers). Fan Dai is often cited by papers focused on Research in Cotton Cultivation (11 papers), Plant and Fungal Interactions Research (5 papers) and Plant Virus Research Studies (5 papers). Fan Dai collaborates with scholars based in China and Australia. Fan Dai's co-authors include Wenjuan Yao, Tianzhen Zhang, Yuan Liu, Shiju Chen and Lian Tang and has published in prestigious journals such as The Plant Journal, Chemical Engineering Journal and Small.

In The Last Decade

Fields of papers citing papers by Fan 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 Fan Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fan Dai may publish in the future.

Countries citing papers authored by Fan Dai

Since Specialization

Citations

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

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