Song Mu
About
Song Mu is a scholar working on Molecular Biology, Oncology and Hematology.
According to data from OpenAlex, Song Mu has authored 44 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Oncology and 10 papers in Hematology. Recurrent topics in Song Mu’s work include PARP inhibition in cancer therapy (10 papers), Multiple Myeloma Research and Treatments (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Song Mu is often cited by papers focused on PARP inhibition in cancer therapy (10 papers), Multiple Myeloma Research and Treatments (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Song Mu collaborates with scholars based in China, United States and United Kingdom. Song Mu's co-authors include Xiaojian Han, Meiying Shen, Suddhasatta Acharyya and Claire Harrison and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.
In The Last Decade
Fields of papers citing papers by Song Mu
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 Song Mu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Mu may publish in the future.
Countries citing papers authored by Song Mu
Since SpecializationCitations
This map shows the geographic impact of Song 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 Song Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Mu more than expected).
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