Ming Yan
About
Ming Yan is a scholar working on Molecular Biology, Immunology and Cancer Research.
According to data from OpenAlex, Ming Yan has authored 162 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 47 papers in Immunology and 42 papers in Cancer Research. Recurrent topics in Ming Yan’s work include Acute Myeloid Leukemia Research (25 papers), RNA modifications and cancer (22 papers) and Cancer-related molecular mechanisms research (21 papers). Ming Yan is often cited by papers focused on Acute Myeloid Leukemia Research (25 papers), RNA modifications and cancer (22 papers) and Cancer-related molecular mechanisms research (21 papers). Ming Yan collaborates with scholars based in China, United States and Germany. Ming Yan's co-authors include Dong‐Er Zhang, Wantao Chen, Qin Xu, Jianjun Zhang and Xu Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
In The Last Decade
Fields of papers citing papers by Ming Yan
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 Yan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming Yan may publish in the future.
Countries citing papers authored by Ming Yan
Since SpecializationCitations
This map shows the geographic impact of Ming Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yan more than expected).
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