Matteo Castaldo

87 total papers · 854 total citations
46 papers, 456 citations indexed

About

Matteo Castaldo is a scholar working on Psychiatry and Mental health, Pharmacology and Physiology. According to data from OpenAlex, Matteo Castaldo has authored 46 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Psychiatry and Mental health, 22 papers in Pharmacology and 17 papers in Physiology. Recurrent topics in Matteo Castaldo's work include Migraine and Headache Studies (24 papers), Musculoskeletal pain and rehabilitation (22 papers) and Myofascial pain diagnosis and treatment (15 papers). Matteo Castaldo is often cited by papers focused on Migraine and Headache Studies (24 papers), Musculoskeletal pain and rehabilitation (22 papers) and Myofascial pain diagnosis and treatment (15 papers). Matteo Castaldo collaborates with scholars based in Denmark, Italy and Spain. Matteo Castaldo's co-authors include Lars Arendt‐Nielsen, César Fernández‐de‐las‐Peñas, Jorge Hugo Villafañe, Kelun Wang, María Palacios‐Ceña, Alessandro Chiarotto, Paola Torelli, Francesca Bovis, Marta Ponzano and Cinzia Finocchi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and International Journal of Environmental Research and Public Health.

In The Last Decade

Matteo Castaldo

41 papers receiving 449 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Castaldo 263 191 142 132 122 46 456
Peter J. Tuchin 254 1.0× 238 1.2× 67 0.5× 161 1.2× 60 0.5× 44 550
Aleksander Chaibi 282 1.1× 216 1.1× 115 0.8× 132 1.0× 55 0.5× 19 487
Rutger M. J. de Zoete 124 0.5× 415 2.2× 145 1.0× 137 1.0× 99 0.8× 34 535
Naiane Teixeira Bastos de Oliveira 130 0.5× 394 2.1× 115 0.8× 83 0.6× 118 1.0× 23 529
M.V. Churyukanov 93 0.4× 266 1.4× 109 0.8× 111 0.8× 145 1.2× 35 448
Tibor M. Szikszay 223 0.8× 229 1.2× 42 0.3× 113 0.9× 154 1.3× 50 479
Dorine Lenoir 183 0.7× 290 1.5× 60 0.4× 51 0.4× 147 1.2× 26 456
İlknur Albayrak Gezer 189 0.7× 155 0.8× 40 0.3× 50 0.4× 58 0.5× 38 476
Nicholas Shenker 76 0.3× 161 0.8× 54 0.4× 63 0.5× 160 1.3× 37 500
Katsuyoshi Tanaka 233 0.9× 377 2.0× 62 0.4× 50 0.4× 148 1.2× 31 541

Countries citing papers authored by Matteo Castaldo

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Castaldo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Castaldo

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