Tina Green
About
Tina Green is a scholar working on Epidemiology, Genetics and Immunology.
According to data from OpenAlex, Tina Green has authored 23 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 5 papers in Genetics and 5 papers in Immunology. Recurrent topics in Tina Green’s work include Cervical Cancer and HPV Research (5 papers), Immunotherapy and Immune Responses (4 papers) and Virus-based gene therapy research (4 papers). Tina Green is often cited by papers focused on Cervical Cancer and HPV Research (5 papers), Immunotherapy and Immune Responses (4 papers) and Virus-based gene therapy research (4 papers). Tina Green collaborates with scholars based in United States and United Kingdom. Tina Green's co-authors include Joseph M. Antonello, Mark T. Esser, Michael J. Caulfield, Katrina M. Nolan and Martha Brown and has published in prestigious journals such as PLoS ONE, Journal of Virology and The FASEB Journal.
In The Last Decade
Fields of papers citing papers by Tina Green
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 Tina Green. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tina Green may publish in the future.
Countries citing papers authored by Tina Green
Since SpecializationCitations
This map shows the geographic impact of Tina Green'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 Tina Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Green more than expected).
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