Song Tan

About

Song Tan is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Song Tan has authored 22 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Song Tan’s work include Acute Ischemic Stroke Management (5 papers), Gastric Cancer Management and Outcomes (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Song Tan is often cited by papers focused on Acute Ischemic Stroke Management (5 papers), Gastric Cancer Management and Outcomes (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Song Tan collaborates with scholars based in China and Germany. Song Tan's co-authors include Bo Wu, Aihua Hou, Yuming Xu, Ming Liu and Shaolin Liu and has published in prestigious journals such as Neurology, Stroke and Scientific Reports.

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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