Song Tan

About

Song Tan is a scholar working on Neurology, Molecular Biology and Plant Science. According to data from OpenAlex, Song Tan has authored 46 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 8 papers in Molecular Biology and 7 papers in Plant Science. Recurrent topics in Song Tan’s work include Plant Micronutrient Interactions and Effects (6 papers), Myasthenia Gravis and Thymoma (5 papers) and Plant nutrient uptake and metabolism (5 papers). Song Tan is often cited by papers focused on Plant Micronutrient Interactions and Effects (6 papers), Myasthenia Gravis and Thymoma (5 papers) and Plant nutrient uptake and metabolism (5 papers). Song Tan collaborates with scholars based in China, United States and Canada. Song Tan's co-authors include Liping Yin, Shuang Li, Wei Xiao, Gang Yang and Lee Berk and has published in prestigious journals such as Science, American Journal of Clinical Nutrition and Neurology.

In The Last Decade

Fields of papers citing papers by Song Tan

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 Song Tan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Tan may publish in the future.

Countries citing papers authored by Song Tan

Since Specialization

Citations

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

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