Massimo De Matteis

17 total papers · 713 total citations
14 papers, 461 citations indexed

About

Massimo De Matteis is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Massimo De Matteis has authored 14 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Massimo De Matteis's work include Spondyloarthritis Studies and Treatments (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Urologic and reproductive health conditions (4 papers). Massimo De Matteis is often cited by papers focused on Spondyloarthritis Studies and Treatments (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Urologic and reproductive health conditions (4 papers). Massimo De Matteis collaborates with scholars based in Italy. Massimo De Matteis's co-authors include Pietro Pavlica, Libero Barozzi, Ignazio Olivieri, Angela Padula, A. Pierro, I. Menchi, Luca Barozzi, Claudio Borghi, Silvio Ferri and Antonio Freyrie and has published in prestigious journals such as The Journal of Urology, American Journal of Roentgenology and Digestive Diseases and Sciences.

In The Last Decade

Massimo De Matteis

14 papers receiving 439 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 De Matteis 331 131 93 93 81 14 461
Robert G. Aptekar 147 0.4× 188 1.4× 33 0.4× 105 1.1× 57 0.7× 22 498
Jean‐Charles Balblanc 257 0.8× 55 0.4× 41 0.4× 55 0.6× 90 1.1× 17 452
Paul Baudoin 235 0.7× 94 0.7× 53 0.6× 55 0.6× 36 0.4× 20 415
C. Piroth 204 0.6× 195 1.5× 49 0.5× 17 0.2× 41 0.5× 19 452
Carlos Acebes 386 1.2× 160 1.2× 22 0.2× 124 1.3× 122 1.5× 20 513
Abhay Rao 234 0.7× 190 1.5× 89 1.0× 68 0.7× 111 1.4× 22 440
Valentina Germano 261 0.8× 56 0.4× 24 0.3× 63 0.7× 146 1.8× 18 492
M Hordvik 266 0.8× 133 1.0× 37 0.4× 53 0.6× 169 2.1× 13 443
David Templin 379 1.1× 42 0.3× 52 0.6× 127 1.4× 172 2.1× 15 546
J. Duchow 79 0.2× 219 1.7× 49 0.5× 23 0.2× 110 1.4× 18 435

Countries citing papers authored by Massimo De Matteis

Since Specialization
Citations

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

Fields of papers citing papers by Massimo De Matteis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo De Matteis

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