Leila Danesi

17 papers and 235 indexed citations i.

About

Leila Danesi is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Leila Danesi has authored 17 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Leila Danesi’s work include Hemoglobinopathies and Related Disorders (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). Leila Danesi is often cited by papers focused on Hemoglobinopathies and Related Disorders (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). Leila Danesi collaborates with scholars based in Italy. Leila Danesi's co-authors include Francesco Cavagnini, Cecilia Invitti, Massimo Scacchi, A. Dubini, Maria Domenica Cappellini, Francesca Pecori Giraldi, Agnese Cattaneo, Nadia Mirra, Laura Zanaboni and Elena Valassi and has published in prestigious journals such as Psychopharmacology, European Journal of Endocrinology and Clinical Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Leila Danesi i

Fields of papers citing papers by Leila Danesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leila Danesi

Since Specialization
Citations

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