Kun Mu

About

Kun Mu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kun Mu has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Kun Mu’s work include Cancer-related Molecular Pathways (6 papers), Breast Cancer Treatment Studies (5 papers) and Circular RNAs in diseases (5 papers). Kun Mu is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Breast Cancer Treatment Studies (5 papers) and Circular RNAs in diseases (5 papers). Kun Mu collaborates with scholars based in China, United States and Sweden. Kun Mu's co-authors include Ting Zhuang, Wei Guo, Juntao Xu, Huijie Yang and Chao Sun and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Fields of papers citing papers by Kun Mu

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

Countries citing papers authored by Kun Mu

Since Specialization

Citations

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

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