Francesca Lugli

49 total papers · 727 total citations
23 papers, 447 citations indexed

About

Francesca Lugli is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Francesca Lugli has authored 23 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Francesca Lugli's work include Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Adrenal and Paraganglionic Tumors (4 papers). Francesca Lugli is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Adrenal and Paraganglionic Tumors (4 papers). Francesca Lugli collaborates with scholars based in Italy, United States and United Kingdom. Francesca Lugli's co-authors include Antonio Bianchi, Laura De Marinis, Guido Rindi, Alfredo Pontecorvi, Antonella Giampietro, Libero Lauriola, Giulio Maira, Donato Iacovazzo, Carmelo Anile and Eivind Carlsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Gastrointestinal Endoscopy.

In The Last Decade

Francesca Lugli

20 papers receiving 437 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Lugli 257 232 150 137 83 23 447
Javier Aller 299 1.2× 244 1.1× 210 1.4× 137 1.0× 46 0.6× 37 520
Christine Cortet 390 1.5× 72 0.3× 48 0.3× 161 1.2× 86 1.0× 17 497
Giulia Franchi 162 0.6× 214 0.9× 158 1.1× 47 0.3× 31 0.4× 22 504
Clark Oh 201 0.8× 127 0.5× 160 1.1× 129 0.9× 11 0.1× 20 441
Osama Al‐Saif 118 0.5× 146 0.6× 197 1.3× 168 1.2× 17 0.2× 30 479
J.-L. Wémeau 385 1.5× 148 0.6× 75 0.5× 193 1.4× 30 0.4× 31 514
Rajeev Kasaliwal 289 1.1× 67 0.3× 72 0.5× 170 1.2× 37 0.4× 23 431
Amanda N. Graff‐Baker 154 0.6× 104 0.4× 247 1.6× 161 1.2× 11 0.1× 21 488
Trine Normann 211 0.8× 63 0.3× 86 0.6× 83 0.6× 28 0.3× 28 470
Ariel Barkan 398 1.5× 152 0.7× 38 0.3× 174 1.3× 31 0.4× 22 486

Countries citing papers authored by Francesca Lugli

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Lugli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Lugli

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Lugli. A scholar is included among the top collaborators of Francesca Lugli 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 Francesca Lugli. Francesca Lugli 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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