G Rovera
About
G Rovera is a scholar working on Immunology, Molecular Biology and Hematology.
According to data from OpenAlex, G Rovera has authored 165 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 49 papers in Molecular Biology and 45 papers in Hematology. Recurrent topics in G Rovera’s work include Acute Myeloid Leukemia Research (23 papers), Acute Lymphoblastic Leukemia research (20 papers) and Chronic Lymphocytic Leukemia Research (19 papers). G Rovera is often cited by papers focused on Acute Myeloid Leukemia Research (23 papers), Acute Lymphoblastic Leukemia research (20 papers) and Chronic Lymphocytic Leukemia Research (19 papers). G Rovera collaborates with scholars based in United States, Italy and Israel. G Rovera's co-authors include Brent Kreider, Secondo Fassino, Giovanni Abbate‐Daga, S Shane and Beverly J. Lange and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.
In The Last Decade
Fields of papers citing papers by G Rovera
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 G Rovera. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where G Rovera may publish in the future.
Countries citing papers authored by G Rovera
Since SpecializationCitations
This map shows the geographic impact of G Rovera'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 G Rovera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Rovera more than expected).
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