M Riva

129 papers and 963 indexed citations i.

About

M Riva is a scholar working on History, Surgery and Neurology. According to data from OpenAlex, M Riva has authored 129 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in History, 15 papers in Surgery and 14 papers in Neurology. Recurrent topics in M Riva’s work include History of Medicine Studies (28 papers), Neurology and Historical Studies (13 papers) and Vaccine Coverage and Hesitancy (7 papers). M Riva is often cited by papers focused on History of Medicine Studies (28 papers), Neurology and Historical Studies (13 papers) and Vaccine Coverage and Hesitancy (7 papers). M Riva collaborates with scholars based in Italy, United Kingdom and United States. M Riva's co-authors include Michael Belingheri, Giancarlo Cesana, María Emilia Paladino, V. A. Sironi and G De Vito and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Psychiatry and The Lancet Neurology.

In The Last Decade

Fields of papers citing papers by M Riva

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

Countries citing papers authored by M Riva

Since Specialization
Citations

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

Rankless by CCL
2025