Francesca Davato

9 papers and 120 indexed citations i.

About

Francesca Davato is a scholar working on Physiology, Genetics and Molecular Biology. According to data from OpenAlex, Francesca Davato has authored 9 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Francesca Davato’s work include Diabetes and associated disorders (3 papers), Diet and metabolism studies (2 papers) and COVID-19 diagnosis using AI (1 paper). Francesca Davato is often cited by papers focused on Diabetes and associated disorders (3 papers), Diet and metabolism studies (2 papers) and COVID-19 diagnosis using AI (1 paper). Francesca Davato collaborates with scholars based in Italy, Germany and United Kingdom. Francesca Davato's co-authors include Massimo Federici, Marina Cardellini, Rossella Menghini, Iris Cardolini, Marta Ballanti, Stefano Rizza, Arnaldo Ippoliti, Ottavia Porzio, Alessio Farcomeni and Viviana Casagrande and has published in prestigious journals such as Diabetes, Atherosclerosis and Nutrition Metabolism and Cardiovascular Diseases.

In The Last Decade

Co-authorship network of co-authors of Francesca Davato i

Fields of papers citing papers by Francesca Davato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesca Davato

Since Specialization
Citations

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