Mario De Bellis

175 total papers · 2.1k total citations
63 papers, 1.3k citations indexed

About

Mario De Bellis is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mario De Bellis has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Surgery, 37 papers in Oncology and 31 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mario De Bellis's work include Pancreatic and Hepatic Oncology Research (22 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (20 papers) and Gallbladder and Bile Duct Disorders (18 papers). Mario De Bellis is often cited by papers focused on Pancreatic and Hepatic Oncology Research (22 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (20 papers) and Gallbladder and Bile Duct Disorders (18 papers). Mario De Bellis collaborates with scholars based in Italy, United States and Japan. Mario De Bellis's co-authors include Glen A. Lehman, Stuart Sherman, Evan L. Fogel, John Chappo, James L. Watkins, Lee McHenry, Harvey Cramer, Yoshikuni Kawaguchi, Jean‐Nicolas Vauthey and Giovanni Battista Rossi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Clinical Cancer Research.

In The Last Decade

Mario De Bellis

58 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Mario De Bellis 878 761 756 229 83 63 1.3k
Gabriel Liberale 849 1.0× 646 0.8× 373 0.5× 328 1.4× 56 0.7× 92 1.5k
Hideyuki Ike 752 0.9× 909 1.2× 370 0.5× 318 1.4× 73 0.9× 82 1.3k
Akihiro Cho 792 0.9× 662 0.9× 527 0.7× 412 1.8× 108 1.3× 73 1.3k
Jean M. Butte 872 1.0× 685 0.9× 561 0.7× 171 0.7× 57 0.7× 52 1.2k
Hisashi Gunji 544 0.6× 551 0.7× 449 0.6× 217 0.9× 150 1.8× 58 1.1k
Giulio Di Candio 754 0.9× 545 0.7× 415 0.5× 220 1.0× 63 0.8× 79 1.3k
Satoshi Nakamura 993 1.1× 549 0.7× 564 0.7× 507 2.2× 95 1.1× 68 1.5k
Michitaka Nagase 661 0.8× 639 0.8× 828 1.1× 219 1.0× 77 0.9× 50 1.3k
Paolo Aurello 750 0.9× 639 0.8× 641 0.8× 146 0.6× 101 1.2× 102 1.3k
Maximiliano Gelli 740 0.8× 547 0.7× 365 0.5× 348 1.5× 87 1.0× 80 1.2k

Countries citing papers authored by Mario De Bellis

Since Specialization
Citations

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

Fields of papers citing papers by Mario De Bellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario De Bellis. 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 Mario De Bellis. The network helps show where Mario De Bellis may publish in the future.

Co-authorship network of co-authors of Mario De Bellis

This figure shows the co-authorship network connecting the top 25 collaborators of Mario De Bellis. A scholar is included among the top collaborators of Mario De Bellis 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 Mario De Bellis. Mario De Bellis 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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2026