Leila Danesi

33 total papers · 410 total citations
17 papers, 239 citations indexed

About

Leila Danesi is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Leila Danesi has authored 17 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 7 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Leila Danesi's work include Hemoglobinopathies and Related Disorders (7 papers), Pituitary Gland Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Leila Danesi is often cited by papers focused on Hemoglobinopathies and Related Disorders (7 papers), Pituitary Gland Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Leila Danesi collaborates with scholars based in Italy. Leila Danesi's co-authors include Francesco Cavagnini, Massimo Scacchi, Cecilia Invitti, Maria Domenica Cappellini, Nadia Mirra, Agnese Cattaneo, A. Dubini, Laura Zanaboni, Francesca Pecori Giraldi and Elena Valassi and has published in prestigious journals such as Psychopharmacology, Clinical Endocrinology and European Journal of Endocrinology.

In The Last Decade

Leila Danesi

17 papers receiving 231 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Leila Danesi 106 75 61 55 32 17 239
Özlem Sangün 36 0.3× 26 0.3× 62 1.0× 58 1.1× 12 0.4× 28 326
Arthur W. Bauman 43 0.4× 38 0.5× 104 1.7× 8 0.1× 31 1.0× 13 292
S. Ümit Sarící 29 0.3× 35 0.5× 58 1.0× 79 1.4× 4 0.1× 21 300
Alessandra Scardapane 30 0.3× 30 0.4× 149 2.4× 25 0.5× 8 0.3× 12 323
Lucero Lopez-Perez 71 0.7× 121 1.6× 31 0.5× 4 0.1× 8 0.3× 10 306
Ivy Ekem 112 1.1× 103 1.4× 32 0.5× 9 0.2× 3 0.1× 19 203
Kristen Beebe 12 0.1× 60 0.8× 102 1.7× 24 0.4× 5 0.2× 23 235
Pacharapan Surapolchai 101 1.0× 70 0.9× 64 1.0× 10 0.2× 7 0.2× 18 166
Thomas 26 0.2× 31 0.4× 37 0.6× 6 0.1× 6 0.2× 21 320
Ritsuko Ikeda 45 0.4× 25 0.3× 13 0.2× 9 0.2× 16 0.5× 18 321

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).

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.

Co-authorship network of co-authors of Leila Danesi

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Danesi. A scholar is included among the top collaborators of Leila Danesi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leila Danesi. Leila Danesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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