Massimo Petrera

30 total papers · 1.1k total citations
26 papers, 777 citations indexed

About

Massimo Petrera is a scholar working on Surgery, Epidemiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Massimo Petrera has authored 26 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 10 papers in Epidemiology and 8 papers in Orthopedics and Sports Medicine. Recurrent topics in Massimo Petrera's work include Shoulder Injury and Treatment (12 papers), Shoulder and Clavicle Injuries (9 papers) and Knee injuries and reconstruction techniques (6 papers). Massimo Petrera is often cited by papers focused on Shoulder Injury and Treatment (12 papers), Shoulder and Clavicle Injuries (9 papers) and Knee injuries and reconstruction techniques (6 papers). Massimo Petrera collaborates with scholars based in Canada, Italy and United States. Massimo Petrera's co-authors include John Theodoropoulos, Drew W. Taylor, Silvio Patella, Tim Dwyer, Vincenzo Patella, Darrell Ogilvie‐Harris, Antonio Spinarelli, Rita A. Kandel, Georgios Karnatzikos and Vito Pesce and has published in prestigious journals such as The American Journal of Sports Medicine, Clinical Orthopaedics and Related Research and Arthroscopy The Journal of Arthroscopic and Related Surgery.

In The Last Decade

Massimo Petrera

24 papers receiving 743 citations

Author Peers

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

Author						Papers	Cites
Massimo Petrera	605	324	268	119	85	26	777
Salma Chaudhury	614 1.0×	402 1.2×	207 0.8×	153 1.3×	83 1.0×	36	805
Leigh Ann Curl	559 0.9×	256 0.8×	278 1.0×	130 1.1×	26 0.3×	18	705
Ujash Sheth	716 1.2×	345 1.1×	248 0.9×	148 1.2×	59 0.7×	47	868
Peter Evangelista	387 0.6×	256 0.8×	91 0.3×	78 0.7×	82 1.0×	25	735
Ankur Gandhi	280 0.5×	229 0.7×	142 0.5×	134 1.1×	30 0.4×	20	635
John G. Lane	540 0.9×	153 0.5×	117 0.4×	56 0.5×	217 2.6×	27	654
Francesca Lacelli	600 1.0×	273 0.8×	223 0.8×	29 0.2×	85 1.0×	26	763
Yinghua Xu	466 0.8×	439 1.4×	151 0.6×	45 0.4×	38 0.4×	14	832
Davide Bardana	680 1.1×	218 0.7×	143 0.5×	32 0.3×	88 1.0×	35	783
M. Tryfonidis	521 0.9×	378 1.2×	105 0.4×	228 1.9×	85 1.0×	28	798

Countries citing papers authored by Massimo Petrera

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Petrera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Petrera

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