Jun Song

About

Jun Song is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Jun Song has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 17 papers in Surgery and 14 papers in Genetics. Recurrent topics in Jun Song’s work include CRISPR and Genetic Engineering (19 papers), Pluripotent Stem Cells Research (10 papers) and Animal Genetics and Reproduction (9 papers). Jun Song is often cited by papers focused on CRISPR and Genetic Engineering (19 papers), Pluripotent Stem Cells Research (10 papers) and Animal Genetics and Reproduction (9 papers). Jun Song collaborates with scholars based in China, United States and South Korea. Jun Song's co-authors include Dongshan Yang, Jie Xu, Jifeng Zhang, Y. Eugene Chen, Tianqing Zhu, Kaijie Zheng, Feng Zhang, Sidi Chen, David Scott and Kyungheon Lee and has published in prestigious journals such as Cell, Nature Communications and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Jun Song i

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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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