Mao Song
About
Mao Song is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Cell Biology.
According to data from OpenAlex, Mao Song has authored 31 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nuclear and High Energy Physics, 7 papers in Astronomy and Astrophysics and 0 papers in Cell Biology. Recurrent topics in Mao Song’s work include Particle physics theoretical and experimental studies (31 papers), High-Energy Particle Collisions Research (25 papers) and Quantum Chromodynamics and Particle Interactions (20 papers). Mao Song is often cited by papers focused on Particle physics theoretical and experimental studies (31 papers), High-Energy Particle Collisions Research (25 papers) and Quantum Chromodynamics and Particle Interactions (20 papers). Mao Song collaborates with scholars based in China. Mao Song's co-authors include Gang Li, Zhang Ren-You, Lei Guo, Jian-You Guo and Z. Yu and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and Physical review. D.
In The Last Decade
Fields of papers citing papers by Mao 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 Mao Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mao Song may publish in the future.
Countries citing papers authored by Mao Song
Since SpecializationCitations
This map shows the geographic impact of Mao 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 Mao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao Song more than expected).
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