A Riva

56 papers and 749 indexed citations i.

About

A Riva is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, A Riva has authored 56 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 14 papers in Surgery and 13 papers in Molecular Biology. Recurrent topics in A Riva’s work include Salivary Gland Disorders and Functions (25 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers) and Urologic and reproductive health conditions (6 papers). A Riva is often cited by papers focused on Salivary Gland Disorders and Functions (25 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers) and Urologic and reproductive health conditions (6 papers). A Riva collaborates with scholars based in Italy, Sweden and United States. A Riva's co-authors include Gerhard Aumüller, Francesca Riva, Roberto Puxeddu, Bernard Tandler, Jørgen Ekström, M Cossu, Terenzio Congiu, A Segawa, Saverio Cinti and Rita De Matteis and has published in prestigious journals such as British Journal of Cancer, Journal of Dental Research and Fertility and Sterility.

In The Last Decade

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

Fields of papers citing papers by A Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A 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 A Riva. The network helps show where A Riva may publish in the future.

Countries citing papers authored by A Riva

Since Specialization
Citations

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

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