Rita Ferla
About
Rita Ferla is a scholar working on Molecular Biology, Genetics and Epidemiology.
According to data from OpenAlex, Rita Ferla has authored 17 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Epidemiology. Recurrent topics in Rita Ferla’s work include Virus-based gene therapy research (6 papers), Regulation of Appetite and Obesity (4 papers) and Lysosomal Storage Disorders Research (4 papers). Rita Ferla is often cited by papers focused on Virus-based gene therapy research (6 papers), Regulation of Appetite and Obesity (4 papers) and Lysosomal Storage Disorders Research (4 papers). Rita Ferla collaborates with scholars based in Italy, United States and Hungary. Rita Ferla's co-authors include Eva Surmacz, Alberto Auricchio, Antonio Russo, Sandra Cascio and Edoardo Nusco and has published in prestigious journals such as Annals of Oncology, Journal of Cellular Physiology and European Journal of Cancer.
In The Last Decade
Fields of papers citing papers by Rita Ferla
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 Rita Ferla. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Rita Ferla may publish in the future.
Countries citing papers authored by Rita Ferla
Since SpecializationCitations
This map shows the geographic impact of Rita Ferla'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 Rita Ferla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Ferla more than expected).
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