Kun Qu
About
Kun Qu is a scholar working on Molecular Biology, Immunology and Cancer Research.
According to data from OpenAlex, Kun Qu has authored 102 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 25 papers in Immunology and 17 papers in Cancer Research. Recurrent topics in Kun Qu’s work include RNA Research and Splicing (21 papers), RNA modifications and cancer (18 papers) and Cancer-related molecular mechanisms research (13 papers). Kun Qu is often cited by papers focused on RNA Research and Splicing (21 papers), RNA modifications and cancer (18 papers) and Cancer-related molecular mechanisms research (13 papers). Kun Qu collaborates with scholars based in China, United States and Germany. Kun Qu's co-authors include Howard Y. Chang, Ci Chu, Jiajing Zhang, Maja Artandi, Franklin L. Zhong, Paul A. Khavari, Ryan A. Flynn, Dan E. Webster, Markus Kretz and Marius Wernig and has published in prestigious journals such as Nature, Cell and Journal of the American Chemical Society.
In The Last Decade
Co-authorship network of co-authors of Kun Qu i
Fields of papers citing papers by Kun Qu
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 Kun Qu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kun Qu may publish in the future.
Countries citing papers authored by Kun Qu
Since SpecializationCitations
This map shows the geographic impact of Kun Qu'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 Kun Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Qu more than expected).
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