Pu Song

About

Pu Song is a scholar working on Molecular Biology, Astronomy and Astrophysics and Cell Biology. According to data from OpenAlex, Pu Song has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Astronomy and Astrophysics and 15 papers in Cell Biology. Recurrent topics in Pu Song’s work include Ionosphere and magnetosphere dynamics (20 papers), Solar and Space Plasma Dynamics (18 papers) and melanin and skin pigmentation (15 papers). Pu Song is often cited by papers focused on Ionosphere and magnetosphere dynamics (20 papers), Solar and Space Plasma Dynamics (18 papers) and melanin and skin pigmentation (15 papers). Pu Song collaborates with scholars based in China, United States and Japan. Pu Song's co-authors include C. T. Russell, Kai Li, Tianwen Gao, Chunying Li and Zhe Jian and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

In The Last Decade

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

Countries citing papers authored by Pu Song

Since Specialization

Citations

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

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