Jun Song

About

Jun Song is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jun Song has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 24 papers in Cancer Research and 19 papers in Oncology. Recurrent topics in Jun Song’s work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (12 papers) and MicroRNA in disease regulation (7 papers). Jun Song is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (12 papers) and MicroRNA in disease regulation (7 papers). Jun Song collaborates with scholars based in China, United States and Canada. Jun Song's co-authors include Song Hu, Jin Bai and Yixin Xu and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Jun Song

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

Countries citing papers authored by Jun Song

Since Specialization

Citations

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

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