Arianna Casini

79 total papers · 1.2k total citations
48 papers, 918 citations indexed

About

Arianna Casini is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Arianna Casini has authored 48 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Arianna Casini's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Arianna Casini is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Arianna Casini collaborates with scholars based in Italy, United States and Japan. Arianna Casini's co-authors include Loredana D’Este, Tindaro Renda, Rosa Vaccaro, Massimiliano Prencipe, Franco Culasso, Giorgio Vivacqua, Shun Yu, Marco Fiorelli, Domenico Passafiume and Gianfranco Spalletta and has published in prestigious journals such as PLoS ONE, Neurology and The Journal of Comparative Neurology.

In The Last Decade

Arianna Casini

46 papers receiving 902 citations

Author Peers

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

Author Last Decade Papers Cites
Arianna Casini 223 212 200 177 136 48 918
Jürg Lütschg 262 1.2× 183 0.9× 108 0.5× 408 2.3× 105 0.8× 55 1.0k
Haim Golan 136 0.6× 194 0.9× 174 0.9× 285 1.6× 127 0.9× 29 1.2k
A. Burke 157 0.7× 156 0.7× 91 0.5× 360 2.0× 110 0.8× 34 1.2k
Zeki Odabaşı 117 0.5× 303 1.4× 160 0.8× 287 1.6× 78 0.6× 107 1.1k
Ana Rubio 71 0.3× 196 0.9× 180 0.9× 287 1.6× 116 0.9× 39 995
Marcello Romano 241 1.1× 139 0.7× 129 0.6× 317 1.8× 83 0.6× 48 1.1k
Attila Schwarcz 162 0.7× 156 0.7× 103 0.5× 240 1.4× 95 0.7× 69 1.0k
Federico Paolini Paoletti 166 0.7× 163 0.8× 340 1.7× 444 2.5× 141 1.0× 69 1.0k
John Howieson 122 0.5× 188 0.9× 84 0.4× 271 1.5× 57 0.4× 35 906
R F Gledhill 275 1.2× 83 0.4× 111 0.6× 182 1.0× 169 1.2× 36 1.1k

Countries citing papers authored by Arianna Casini

Since Specialization
Citations

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

Fields of papers citing papers by Arianna Casini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arianna Casini

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