K Y Song

About

K Y Song is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, K Y Song has authored 8 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Plant Science. Recurrent topics in K Y Song’s work include CRISPR and Genetic Engineering (8 papers), DNA Repair Mechanisms (4 papers) and Animal Genetics and Reproduction (3 papers). K Y Song is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), DNA Repair Mechanisms (4 papers) and Animal Genetics and Reproduction (3 papers). K Y Song collaborates with scholars based in United States. K Y Song's co-authors include Raju Kucherlapati, Lavanya Chekuri, Sikha Rauth, David Ayares and Peter D. Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis.

In The Last Decade

Fields of papers citing papers by K Y 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 K Y Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where K Y Song may publish in the future.

Countries citing papers authored by K Y Song

Since Specialization

Citations

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

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