Mei Xiang

About

Mei Xiang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Mei Xiang has authored 17 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cancer Research. Recurrent topics in Mei Xiang’s work include Uterine Myomas and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Signaling Pathways in Disease (3 papers). Mei Xiang is often cited by papers focused on Uterine Myomas and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Signaling Pathways in Disease (3 papers). Mei Xiang collaborates with scholars based in China, Hong Kong and Macao. Mei Xiang's co-authors include Hongliang Li, Sen Guo, Ping Ye, Manhua Chen and Yan Zhang and has published in prestigious journals such as Journal of Neuroscience, Hepatology and Chemical Engineering Journal.

In The Last Decade

Fields of papers citing papers by Mei Xiang

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

Countries citing papers authored by Mei Xiang

Since Specialization

Citations

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

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