Michela Servadio

32 total papers · 1.2k total citations
23 papers, 887 citations indexed

About

Michela Servadio is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Michela Servadio has authored 23 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 8 papers in Pharmacology. Recurrent topics in Michela Servadio's work include Autism Spectrum Disorder Research (9 papers), Cannabis and Cannabinoid Research (8 papers) and Neuroendocrine regulation and behavior (7 papers). Michela Servadio is often cited by papers focused on Autism Spectrum Disorder Research (9 papers), Cannabis and Cannabinoid Research (8 papers) and Neuroendocrine regulation and behavior (7 papers). Michela Servadio collaborates with scholars based in Italy, Netherlands and France. Michela Servadio's co-authors include Viviana Trezza, Patrizia Campolongo, Louk J. M. J. Vanderschuren, Antonia Manduca, Veronica Cartocci, Valentina Pallottini, Francesca Melancia, Sara Schiavi, Maura Palmery and Ruth Damsteegt and has published in prestigious journals such as Neuroscience, British Journal of Pharmacology and Neuropsychopharmacology.

In The Last Decade

Michela Servadio

23 papers receiving 882 citations

Author Peers

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

Author Last Decade Papers Cites
Michela Servadio 355 267 220 215 206 23 887
Sara Schiavi 464 1.3× 160 0.6× 142 0.6× 162 0.8× 289 1.4× 27 797
Olivier Lassalle 317 0.9× 71 0.3× 487 2.2× 468 2.2× 245 1.2× 26 1.0k
QiLiang Chen 239 0.7× 280 1.0× 203 0.9× 45 0.2× 84 0.4× 26 839
Dubravka Hranilović 222 0.6× 107 0.4× 441 2.0× 68 0.3× 186 0.9× 44 1.0k
Ruth Damsteegt 250 0.7× 486 1.8× 445 2.0× 125 0.6× 62 0.3× 17 958
Amanda J. Sales 136 0.4× 88 0.3× 309 1.4× 511 2.4× 92 0.4× 27 916
Richard M. Vardaris 243 0.7× 110 0.4× 433 2.0× 233 1.1× 106 0.5× 24 818
Jonas Melke 280 0.8× 165 0.6× 201 0.9× 42 0.2× 301 1.5× 29 983
Hewlet G. McFarlane 481 1.4× 264 1.0× 317 1.4× 39 0.2× 328 1.6× 13 1.0k
Thomas Larrieu 124 0.3× 169 0.6× 186 0.8× 167 0.8× 33 0.2× 15 1.0k

Countries citing papers authored by Michela Servadio

Since Specialization
Citations

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

Fields of papers citing papers by Michela Servadio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Servadio

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