Ming Qin
About
Ming Qin is a scholar working on Molecular Biology, Oncology and Immunology.
According to data from OpenAlex, Ming Qin has authored 47 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Ming Qin’s work include Nanoplatforms for cancer theranostics (4 papers), Sulfur Compounds in Biology (4 papers) and Fluoride Effects and Removal (3 papers). Ming Qin is often cited by papers focused on Nanoplatforms for cancer theranostics (4 papers), Sulfur Compounds in Biology (4 papers) and Fluoride Effects and Removal (3 papers). Ming Qin collaborates with scholars based in China, Macao and United States. Ming Qin's co-authors include Yi Zhun Zhu, Weijun Wu, Fen Long, Chenxi Xiao and Di Yang and has published in prestigious journals such as The FASEB Journal, Free Radical Biology and Medicine and International Journal of Molecular Sciences.
In The Last Decade
Fields of papers citing papers by Ming Qin
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 Ming Qin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming Qin may publish in the future.
Countries citing papers authored by Ming Qin
Since SpecializationCitations
This map shows the geographic impact of Ming Qin'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 Ming Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Qin more than expected).
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