Stefano Benedini

66 total papers · 1.5k total citations
50 papers, 1.1k citations indexed

About

Stefano Benedini is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Stefano Benedini has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 20 papers in Endocrinology, Diabetes and Metabolism and 15 papers in Surgery. Recurrent topics in Stefano Benedini's work include Diet and metabolism studies (11 papers), Pancreatic function and diabetes (10 papers) and Adipose Tissue and Metabolism (8 papers). Stefano Benedini is often cited by papers focused on Diet and metabolism studies (11 papers), Pancreatic function and diabetes (10 papers) and Adipose Tissue and Metabolism (8 papers). Stefano Benedini collaborates with scholars based in Italy, United States and South Africa. Stefano Benedini's co-authors include Livio Luzi, Gianluca Perseghin, Alberto Battezzati, Ileana Terruzzi, Lucia Piceni Sereni, Alessandro Del Maschio, Paola Scifo, Pamela Senesi, A. Montesano and Franco Mantero and has published in prestigious journals such as American Journal of Clinical Nutrition, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Stefano Benedini

49 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Stefano Benedini 440 292 291 281 225 50 1.1k
Lucia Piceni Sereni 254 0.6× 237 0.8× 222 0.8× 334 1.2× 214 1.0× 49 1.3k
Olivier Bourron 372 0.8× 522 1.8× 273 0.9× 315 1.1× 232 1.0× 61 1.5k
Monica Vettore 282 0.6× 206 0.7× 377 1.3× 208 0.7× 146 0.6× 49 1.1k
A. Bertoli 446 1.0× 235 0.8× 363 1.2× 241 0.9× 229 1.0× 54 1.2k
Şevki Çetinkalp 535 1.2× 220 0.8× 247 0.8× 201 0.7× 224 1.0× 86 1.3k
F. Conti 494 1.1× 225 0.8× 344 1.2× 179 0.6× 104 0.5× 44 1.2k
Carlos O. Mendivil 444 1.0× 280 1.0× 195 0.7× 374 1.3× 170 0.8× 72 1.3k
James T. Lane 416 0.9× 145 0.5× 263 0.9× 353 1.3× 105 0.5× 34 1.1k
Johan Iversen 365 0.8× 237 0.8× 165 0.6× 471 1.7× 270 1.2× 39 1.2k
Norman H. Ertel 455 1.0× 294 1.0× 207 0.7× 160 0.6× 138 0.6× 34 1.3k

Countries citing papers authored by Stefano Benedini

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Benedini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Benedini

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