Maengseok Song

About

Maengseok Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Maengseok Song has authored 7 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Maengseok Song’s work include Neuroscience and Neuropharmacology Research (3 papers), Hormonal and reproductive studies (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Maengseok Song is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Hormonal and reproductive studies (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Maengseok Song collaborates with scholars based in United States and South Korea. Maengseok Song's co-authors include Chul‐Ho Yun, Walter L. Miller, Kevan M. Shokat and Dan Wang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Biochemical Journal.

In The Last Decade

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

Countries citing papers authored by Maengseok Song

Since Specialization

Citations

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

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