Jun Tang
About
Jun Tang is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Epidemiology.
According to data from OpenAlex, Jun Tang has authored 74 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pediatrics, Perinatology and Child Health, 21 papers in Pulmonary and Respiratory Medicine and 14 papers in Epidemiology. Recurrent topics in Jun Tang’s work include Neonatal Respiratory Health Research (20 papers), Neonatal and fetal brain pathology (16 papers) and Infant Nutrition and Health (7 papers). Jun Tang is often cited by papers focused on Neonatal Respiratory Health Research (20 papers), Neonatal and fetal brain pathology (16 papers) and Infant Nutrition and Health (7 papers). Jun Tang collaborates with scholars based in China, United States and United Kingdom. Jun Tang's co-authors include Dezhi Mu, Yi Qu, Tao Xiong, Li Zhang and Fengyan Zhao and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain Research.
In The Last Decade
Fields of papers citing papers by Jun Tang
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 Jun Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Tang may publish in the future.
Countries citing papers authored by Jun Tang
Since SpecializationCitations
This map shows the geographic impact of Jun Tang'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 Jun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tang more than expected).
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