Benedetta Masserini

29 total papers · 1.1k total citations
17 papers, 865 citations indexed

About

Benedetta Masserini is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology. According to data from OpenAlex, Benedetta Masserini has authored 17 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Surgery and 3 papers in Physiology. Recurrent topics in Benedetta Masserini's work include Adrenal and Paraganglionic Tumors (4 papers), Hormonal Regulation and Hypertension (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). Benedetta Masserini is often cited by papers focused on Adrenal and Paraganglionic Tumors (4 papers), Hormonal Regulation and Hypertension (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). Benedetta Masserini collaborates with scholars based in Italy. Benedetta Masserini's co-authors include Valentina Morelli, Iacopo Chiodini, Emanuela Orsi, Alfredo Scillitani, Bruno Ambrosi, Paolo Beck‐Peccoz, Francesca Coletti, Maura Arosio, Laura Iorio and Cristina Eller-Vainicher and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Metabolism.

In The Last Decade

Benedetta Masserini

16 papers receiving 832 citations

Author Peers

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

Author Last Decade Papers Cites
Benedetta Masserini 545 351 165 88 78 17 865
Mirella Hage 504 0.9× 181 0.5× 92 0.6× 161 1.8× 29 0.4× 30 961
Francesca Coletti 751 1.4× 554 1.6× 94 0.6× 29 0.3× 40 0.5× 17 934
Kevin Baynes 356 0.7× 196 0.6× 354 2.1× 137 1.6× 56 0.7× 23 934
Juan Soler 275 0.5× 163 0.5× 212 1.3× 177 2.0× 51 0.7× 26 712
Mary T Meistas 575 1.1× 178 0.5× 304 1.8× 47 0.5× 26 0.3× 10 836
G B Bolli 666 1.2× 369 1.1× 241 1.5× 46 0.5× 104 1.3× 21 1.0k
J. L. Touber 741 1.4× 356 1.0× 105 0.6× 68 0.8× 15 0.2× 31 1.1k
Irene E. Schauer 514 0.9× 237 0.7× 215 1.3× 113 1.3× 42 0.5× 36 936
Guido Adda 305 0.6× 320 0.9× 117 0.7× 44 0.5× 10 0.1× 18 720
David P. Macfarlane 395 0.7× 110 0.3× 205 1.2× 145 1.6× 14 0.2× 23 813

Countries citing papers authored by Benedetta Masserini

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Masserini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedetta Masserini

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