Massimo Siciliano

161 total papers · 1.6k total citations
55 papers, 750 citations indexed

About

Massimo Siciliano is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Massimo Siciliano has authored 55 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Hepatology, 34 papers in Epidemiology and 15 papers in Surgery. Recurrent topics in Massimo Siciliano's work include Liver Disease Diagnosis and Treatment (32 papers), Liver Disease and Transplantation (26 papers) and Hepatitis C virus research (15 papers). Massimo Siciliano is often cited by papers focused on Liver Disease Diagnosis and Treatment (32 papers), Liver Disease and Transplantation (26 papers) and Hepatitis C virus research (15 papers). Massimo Siciliano collaborates with scholars based in Italy, United States and Japan. Massimo Siciliano's co-authors include Antonio Gasbarrini, B.E. Annicchiarico, Maurizio Pompili, G. Bombardieri, A. Iacobellis, N. Caruso, L. Accadia, Angelo Andriulli, Francesca Romana Ponziani and Gioacchino Leandro and has published in prestigious journals such as Gastroenterology, Hepatology and Journal of Hepatology.

In The Last Decade

Massimo Siciliano

53 papers receiving 728 citations

Author Peers

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

Author Last Decade Papers Cites
Massimo Siciliano 593 448 127 62 55 55 750
F. Bronte 561 0.9× 639 1.4× 84 0.7× 66 1.1× 43 0.8× 36 906
J.-P. Bronowicki 639 1.1× 499 1.1× 148 1.2× 26 0.4× 51 0.9× 27 795
Ahmad Parvinian 521 0.9× 373 0.8× 416 3.3× 67 1.1× 135 2.5× 51 757
Young Sok Lee 546 0.9× 496 1.1× 101 0.8× 20 0.3× 41 0.7× 35 771
Tianfu Wen 562 0.9× 299 0.7× 278 2.2× 69 1.1× 88 1.6× 55 755
Shogo Iwabuchi 627 1.1× 295 0.7× 173 1.4× 181 2.9× 161 2.9× 43 891
Masakazu Abe 242 0.4× 310 0.7× 106 0.8× 90 1.5× 46 0.8× 48 704
Hatsue Fujino 533 0.9× 461 1.0× 120 0.9× 31 0.5× 91 1.7× 63 768
Kazuto Fukuda 477 0.8× 356 0.8× 98 0.8× 223 3.6× 49 0.9× 43 728
Federica Invernizzi 565 1.0× 532 1.2× 107 0.8× 18 0.3× 34 0.6× 51 823

Countries citing papers authored by Massimo Siciliano

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Siciliano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Siciliano

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