Daniela Calvigioni

37 total papers · 2.2k total citations
23 papers, 1.1k citations indexed

About

Daniela Calvigioni is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Daniela Calvigioni has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 9 papers in Pharmacology and 8 papers in Cognitive Neuroscience. Recurrent topics in Daniela Calvigioni's work include Neuroscience and Neuropharmacology Research (14 papers), Cannabis and Cannabinoid Research (9 papers) and Neural dynamics and brain function (7 papers). Daniela Calvigioni is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Cannabis and Cannabinoid Research (9 papers) and Neural dynamics and brain function (7 papers). Daniela Calvigioni collaborates with scholars based in Sweden, United States and Austria. Daniela Calvigioni's co-authors include Tibor Harkany, János Fuzik, Erik Keimpema, Yasmin L. Hurd, Zoltán Máté, Gábor Szabó, Yuchio Yanagawa, Amit Zeisel, Sten Linnarsson and Giuseppe Tortoriello and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Daniela Calvigioni

23 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Calvigioni 412 409 366 250 235 23 1.1k
János Fuzik 451 1.1× 191 0.5× 360 1.0× 126 0.5× 295 1.3× 19 1.0k
LaRonda L. Morford 823 2.0× 216 0.5× 232 0.6× 260 1.0× 406 1.7× 25 1.4k
Meritxell López‐Gallardo 456 1.1× 491 1.2× 168 0.5× 178 0.7× 121 0.5× 35 1.3k
Paul Berghuis 866 2.1× 821 2.0× 251 0.7× 229 0.9× 315 1.3× 16 1.5k
Olivier Lassalle 487 1.2× 468 1.1× 218 0.6× 107 0.4× 317 1.3× 26 1.0k
Gareth J. Hathway 482 1.2× 269 0.7× 267 0.7× 281 1.1× 124 0.5× 41 1.5k
Alvaro Llorente‐Berzal 503 1.2× 657 1.6× 83 0.2× 175 0.7× 158 0.7× 29 1.2k
Melisa J. Wallace 811 2.0× 629 1.5× 281 0.8× 104 0.4× 248 1.1× 28 1.3k
Emma Puighermanal 843 2.0× 746 1.8× 379 1.0× 44 0.2× 389 1.7× 27 1.5k
Gabor Egervári 249 0.6× 228 0.6× 776 2.1× 165 0.7× 61 0.3× 24 1.3k

Countries citing papers authored by Daniela Calvigioni

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Calvigioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Calvigioni

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