M Riva

131 papers and 990 indexed citations i.

About

M Riva is a scholar working on History, Surgery and Neurology. According to data from OpenAlex, M Riva has authored 131 papers receiving a total of 990 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 States and United Kingdom. M Riva's co-authors include Michael Belingheri, Giancarlo Cesana, María Emilia Paladino, Paolo Mantegazza, G De Vito, V. A. Sironi, Alessandro Padovani, Marina Zanetti, Luca Rozzini and Paolo Liberini and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Psychiatry and The Lancet Neurology.

In The Last Decade

Co-authorship network of co-authors of M Riva i

Fields of papers citing papers by M Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Riva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M Riva. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025