Catherine Riva

41 papers and 1.4k indexed citations i.

About

Catherine Riva is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Catherine Riva has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Physiology and 7 papers in Epidemiology. Recurrent topics in Catherine Riva’s work include Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Cardiovascular Disease and Adiposity (5 papers). Catherine Riva is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Cardiovascular Disease and Adiposity (5 papers). Catherine Riva collaborates with scholars based in France, United States and Spain. Catherine Riva's co-authors include Marie Josèphe Amiot, Agnès Vinet, Jean‐Pierre Lavieille, S. Pilotti, Marco A. Pierotti, Maria Di Bartolomeo, Emilio Bajetta, Enrico Leo, Marta Orsenigo and Federica Perrone and has published in prestigious journals such as British Journal of Cancer, Medicine & Science in Sports & Exercise and Annals of Oncology.

In The Last Decade

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

Fields of papers citing papers by Catherine Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Catherine Riva

Since Specialization
Citations

This map shows the geographic impact of Catherine 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 Catherine Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine 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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2025