Massimo Squadrelli

21 total papers · 1.3k total citations
13 papers, 966 citations indexed

About

Massimo Squadrelli is a scholar working on Surgery, Otorhinolaryngology and Oncology. According to data from OpenAlex, Massimo Squadrelli has authored 13 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Otorhinolaryngology and 4 papers in Oncology. Recurrent topics in Massimo Squadrelli's work include Head and Neck Cancer Studies (5 papers), Head and Neck Surgical Oncology (4 papers) and Cancer Diagnosis and Treatment (2 papers). Massimo Squadrelli is often cited by papers focused on Head and Neck Cancer Studies (5 papers), Head and Neck Surgical Oncology (4 papers) and Cancer Diagnosis and Treatment (2 papers). Massimo Squadrelli collaborates with scholars based in Italy, Switzerland and Russia. Massimo Squadrelli's co-authors include Giulio Cantù, Luigi Mariani, Maria Oggionni, Laura D. Locati, Simona Suardi, Paolo Bossi, Marco A. Pierotti, Federica Perrone, Lisa Licitra and Silvana Pilotti and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Clinical Cancer Research.

In The Last Decade

Massimo Squadrelli

13 papers receiving 948 citations

Hit Papers

High-Risk Human Papilloma... 2006 2026 2012 2019 2006 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Massimo Squadrelli 699 525 352 192 172 13 966
Simona Suardi 553 0.8× 487 0.9× 551 1.6× 172 0.9× 374 2.2× 10 1.2k
Rammohan Tiwari 742 1.1× 729 1.4× 535 1.5× 188 1.0× 162 0.9× 28 1.2k
Christel Bræmer Lajer 403 0.6× 285 0.5× 196 0.6× 122 0.6× 339 2.0× 20 941
Jatin P. Shah 718 1.0× 872 1.7× 679 1.9× 171 0.9× 48 0.3× 14 1.2k
E. A. van Slooten 323 0.5× 347 0.7× 804 2.3× 299 1.6× 164 1.0× 16 1.2k
I‐How Chen 306 0.4× 377 0.7× 309 0.9× 130 0.7× 162 0.9× 24 843
Markus Jungehuelsing 535 0.8× 587 1.1× 389 1.1× 67 0.3× 48 0.3× 12 868
Randall S. Weber 582 0.8× 526 1.0× 321 0.9× 332 1.7× 221 1.3× 7 1.1k
Yu‐Liang Chang 349 0.5× 207 0.4× 345 1.0× 145 0.8× 297 1.7× 24 928
Vanni Mondin 504 0.7× 812 1.5× 602 1.7× 259 1.3× 139 0.8× 20 1.2k

Countries citing papers authored by Massimo Squadrelli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Squadrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Squadrelli

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