Yu Gan
About
Yu Gan is a scholar working on Molecular Biology, Cancer Research and Oncology.
According to data from OpenAlex, Yu Gan has authored 169 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 42 papers in Cancer Research and 32 papers in Oncology. Recurrent topics in Yu Gan’s work include MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (19 papers) and RNA modifications and cancer (19 papers). Yu Gan is often cited by papers focused on MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (19 papers) and RNA modifications and cancer (19 papers). Yu Gan collaborates with scholars based in China, United States and Macao. Yu Gan's co-authors include Zhangqun Ye, Hua Xu, Peiying Li, Hong Tu and Haibing Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.
In The Last Decade
Fields of papers citing papers by Yu Gan
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 Yu Gan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yu Gan may publish in the future.
Countries citing papers authored by Yu Gan
Since SpecializationCitations
This map shows the geographic impact of Yu Gan'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 Yu Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gan more than expected).
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