Xinling Song
About
Xinling Song is a scholar working on Pharmacology, Plant Science and Molecular Biology.
According to data from OpenAlex, Xinling Song has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pharmacology, 20 papers in Plant Science and 16 papers in Molecular Biology. Recurrent topics in Xinling Song’s work include Fungal Biology and Applications (23 papers), Polysaccharides and Plant Cell Walls (20 papers) and Seaweed-derived Bioactive Compounds (10 papers). Xinling Song is often cited by papers focused on Fungal Biology and Applications (23 papers), Polysaccharides and Plant Cell Walls (20 papers) and Seaweed-derived Bioactive Compounds (10 papers). Xinling Song collaborates with scholars based in China. Xinling Song's co-authors include Le Jia, Jianjun Zhang, Zheng Gao, Zhenzhen Ren and Wenshuai Wang and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Carbohydrate Polymers.
In The Last Decade
Fields of papers citing papers by Xinling 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 Xinling Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xinling Song may publish in the future.
Countries citing papers authored by Xinling Song
Since SpecializationCitations
This map shows the geographic impact of Xinling 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 Xinling Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinling Song more than expected).
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