Eleonora Gatta

26 total papers · 659 total citations
22 papers, 526 citations indexed

About

Eleonora Gatta is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Eleonora Gatta has authored 22 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Behavioral Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Social Psychology. Recurrent topics in Eleonora Gatta's work include Stress Responses and Cortisol (12 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neuroendocrine regulation and behavior (8 papers). Eleonora Gatta is often cited by papers focused on Stress Responses and Cortisol (12 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neuroendocrine regulation and behavior (8 papers). Eleonora Gatta collaborates with scholars based in United States, Italy and France. Eleonora Gatta's co-authors include Subhash C. Pandey, Alessandro Guidotti, Stefania Maccari, Jérôme Mairesse, Ferdinando Nicoletti, Jordan Marrocco, Dennis R. Grayson, Sara Morley‐Fletcher, James Auta and Gilles Van Camp and has published in prestigious journals such as Journal of Neuroscience, International Journal of Molecular Sciences and Pharmacology & Therapeutics.

In The Last Decade

Eleonora Gatta

22 papers receiving 523 citations

Author Peers

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

Author Last Decade Papers Cites
Eleonora Gatta 195 192 140 124 95 22 526
Leonardo Machado Crema 257 1.3× 109 0.6× 135 1.0× 107 0.9× 144 1.5× 25 603
Kwok Ho Christopher Choy 166 0.9× 203 1.1× 115 0.8× 120 1.0× 202 2.1× 21 604
Sara Capoccia 227 1.2× 77 0.4× 135 1.0× 123 1.0× 106 1.1× 16 527
Jessica Deslauriers 265 1.4× 84 0.4× 117 0.8× 201 1.6× 101 1.1× 24 601
Ana Paula Ventura‐Silva 126 0.6× 241 1.3× 109 0.8× 138 1.1× 85 0.9× 15 497
Eva L. van Donkelaar 120 0.6× 176 0.9× 93 0.7× 120 1.0× 127 1.3× 16 554
Georg Nikisch 193 1.0× 88 0.5× 87 0.6× 130 1.0× 203 2.1× 17 588
David Rotllant 281 1.4× 108 0.6× 217 1.6× 90 0.7× 178 1.9× 20 604
Eszter Bögi 188 1.0× 62 0.3× 169 1.2× 105 0.8× 82 0.9× 18 502
Andrea Locci 245 1.3× 93 0.5× 155 1.1× 148 1.2× 116 1.2× 22 544

Countries citing papers authored by Eleonora Gatta

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Gatta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Gatta

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