Carmen Fava

About

Carmen Fava is a scholar working on Hematology, Genetics and Rheumatology. According to data from OpenAlex, Carmen Fava has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Hematology, 54 papers in Genetics and 24 papers in Rheumatology. Recurrent topics in Carmen Fava’s work include Chronic Myeloid Leukemia Treatments (60 papers), Chronic Lymphocytic Leukemia Research (47 papers) and Eosinophilic Disorders and Syndromes (22 papers). Carmen Fava is often cited by papers focused on Chronic Myeloid Leukemia Treatments (60 papers), Chronic Lymphocytic Leukemia Research (47 papers) and Eosinophilic Disorders and Syndromes (22 papers). Carmen Fava collaborates with scholars based in Italy, United States and Canada. Carmen Fava's co-authors include Giuseppe Saglio, Giovanna Rege‐Cambrin, Jessica Petiti, Daniela Cilloni and Fabio Stagno and has published in prestigious journals such as Blood, International Journal of Molecular Sciences and European Journal of Cancer.

In The Last Decade

Fields of papers citing papers by Carmen Fava

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 Carmen Fava. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Carmen Fava may publish in the future.

Countries citing papers authored by Carmen Fava

Since Specialization

Citations

This map shows the geographic impact of Carmen Fava'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 Carmen Fava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Fava more than expected).

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