Antonino Cannas

141 total papers · 5.1k total citations
60 papers, 1.2k citations indexed

About

Antonino Cannas is a scholar working on Neurology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Antonino Cannas has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Neurology, 9 papers in Clinical Psychology and 9 papers in Cognitive Neuroscience. Recurrent topics in Antonino Cannas's work include Parkinson's Disease Mechanisms and Treatments (35 papers), Neurological disorders and treatments (16 papers) and Amyotrophic Lateral Sclerosis Research (9 papers). Antonino Cannas is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (35 papers), Neurological disorders and treatments (16 papers) and Amyotrophic Lateral Sclerosis Research (9 papers). Antonino Cannas collaborates with scholars based in Italy, United States and Canada. Antonino Cannas's co-authors include Paolo Solla, Francesco Marrosu, Maria Giovanna Marrosu, Gianluca Floris, Paolo Tacconi, Giovanni Defazio, Gianni Orofino, Giuseppe Mercuro, Lucia Cugusi and Mario Meloni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Experimental Neurology and Neurobiology of Aging.

In The Last Decade

Antonino Cannas

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
Antonino Cannas 891 254 157 156 155 60 1.2k
Davide Ferrazzoli 980 1.1× 367 1.4× 193 1.2× 170 1.1× 108 0.7× 59 1.3k
Peter Valkovič 779 0.9× 250 1.0× 124 0.8× 102 0.7× 160 1.0× 76 1.3k
Paola Ortelli 775 0.9× 427 1.7× 109 0.7× 401 2.6× 69 0.4× 49 1.3k
Beatriz Tijero 1.1k 1.2× 134 0.5× 78 0.5× 216 1.4× 194 1.3× 60 1.4k
Sofia Cuoco 742 0.8× 244 1.0× 51 0.3× 341 2.2× 142 0.9× 58 1.1k
Mario Álvarez 814 0.9× 202 0.8× 116 0.7× 232 1.5× 162 1.0× 26 1.1k
Shyamal H. Mehta 680 0.8× 217 0.9× 95 0.6× 202 1.3× 202 1.3× 77 1.2k
Wing Lok Au 1.1k 1.3× 222 0.9× 94 0.6× 243 1.6× 284 1.8× 53 1.5k
Vanderci Borges 883 1.0× 154 0.6× 99 0.6× 113 0.7× 254 1.6× 76 1.1k
Maria Francesca De Pandis 630 0.7× 285 1.1× 215 1.4× 154 1.0× 168 1.1× 54 1.1k

Countries citing papers authored by Antonino Cannas

Since Specialization
Citations

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

Fields of papers citing papers by Antonino Cannas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonino Cannas

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