Xin Mei
About
Xin Mei is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Plant Science.
According to data from OpenAlex, Xin Mei has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pathology and Forensic Medicine, 30 papers in Molecular Biology and 16 papers in Plant Science. Recurrent topics in Xin Mei’s work include Tea Polyphenols and Effects (24 papers), Phytochemicals and Antioxidant Activities (13 papers) and Spinal Fractures and Fixation Techniques (13 papers). Xin Mei is often cited by papers focused on Tea Polyphenols and Effects (24 papers), Phytochemicals and Antioxidant Activities (13 papers) and Spinal Fractures and Fixation Techniques (13 papers). Xin Mei collaborates with scholars based in China, Japan and Thailand. Xin Mei's co-authors include Ziyin Yang, Xiumin Fu, Ying Zhou, Lingyun Zhang and Fang Dong and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Xin Mei
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 Xin Mei. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xin Mei may publish in the future.
Countries citing papers authored by Xin Mei
Since SpecializationCitations
This map shows the geographic impact of Xin Mei'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 Xin Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Mei more than expected).
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