Danila Fava

11 papers and 354 indexed citations i.

About

Danila Fava is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Danila Fava has authored 11 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Physiology. Recurrent topics in Danila Fava’s work include Diabetes and associated disorders (5 papers), T-cell and B-cell Immunology (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). Danila Fava is often cited by papers focused on Diabetes and associated disorders (5 papers), T-cell and B-cell Immunology (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). Danila Fava collaborates with scholars based in Italy, United Kingdom and Brazil. Danila Fava's co-authors include Paolo Pozzilli, Richard David Leslie, O. Laurenti, G. De Mattia, L. Monetini, Maria Gisella Cavallo, M. Cassone‐Faldetta, Ottavia De Luca, Andrea Ghiselli and Yang Deng and has published in prestigious journals such as The Lancet, Diabetes Care and European Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Danila Fava i

Fields of papers citing papers by Danila Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danila Fava

Since Specialization
Citations

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