Shan Song
About
Shan Song is a scholar working on Molecular Biology, Biochemistry and Physiology.
According to data from OpenAlex, Shan Song has authored 30 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Biochemistry and 5 papers in Physiology. Recurrent topics in Shan Song’s work include Peroxisome Proliferator-Activated Receptors (8 papers), Adipose Tissue and Metabolism (5 papers) and Advanced Glycation End Products research (4 papers). Shan Song is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (8 papers), Adipose Tissue and Metabolism (5 papers) and Advanced Glycation End Products research (4 papers). Shan Song collaborates with scholars based in China, Hong Kong and Switzerland. Shan Song's co-authors include Ming Wu, Haijiang Wu, Huijun Duan, Yonghong Shi and Yonghong Shi and has published in prestigious journals such as Oncogene, Endocrinology and British Journal of Pharmacology.
In The Last Decade
Fields of papers citing papers by Shan 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 Shan Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shan Song may publish in the future.
Countries citing papers authored by Shan Song
Since SpecializationCitations
This map shows the geographic impact of Shan 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 Shan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Song more than expected).
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