Jun S. Song
About
Jun S. Song is a scholar working on Molecular Biology, Cancer Research and Genetics.
According to data from OpenAlex, Jun S. Song has authored 110 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Jun S. Song’s work include Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (15 papers) and RNA and protein synthesis mechanisms (14 papers). Jun S. Song is often cited by papers focused on Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (15 papers) and RNA and protein synthesis mechanisms (14 papers). Jun S. Song collaborates with scholars based in United States, China and South Korea. Jun S. Song's co-authors include David E. Fisher, Miroslav Hejna, Miguel Ramalho‐Santos, J Costello and Aarón Díaz and has published in prestigious journals such as Nature, Science and Cell.
In The Last Decade
Fields of papers citing papers by Jun S. Song
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 Jun S. Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun S. Song may publish in the future.
Countries citing papers authored by Jun S. Song
Since SpecializationCitations
This map shows the geographic impact of Jun S. 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 S. 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 S. Song more than expected).
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