Jenny Ceccarini

114 total papers · 1.9k total citations
55 papers, 1.4k citations indexed

About

Jenny Ceccarini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Jenny Ceccarini has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 18 papers in Pharmacology. Recurrent topics in Jenny Ceccarini's work include Neurotransmitter Receptor Influence on Behavior (15 papers), Functional Brain Connectivity Studies (13 papers) and Cannabis and Cannabinoid Research (12 papers). Jenny Ceccarini is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (15 papers), Functional Brain Connectivity Studies (13 papers) and Cannabis and Cannabinoid Research (12 papers). Jenny Ceccarini collaborates with scholars based in Belgium, Netherlands and United States. Jenny Ceccarini's co-authors include Koen Van Laere, Guy Bormans, Jim van Os, Michel Koole, Mathieu Vandenbulcke, Elske Vrieze, Inez Myin‐Germeys, Stefan Sunaert, Rebecca Kuepper and Cécile Henquet and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Jenny Ceccarini

55 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Jenny Ceccarini 565 435 403 220 180 55 1.4k
Jaana Kajander 635 1.1× 299 0.7× 455 1.1× 284 1.3× 231 1.3× 33 1.6k
Abhishekh H. Ashok 607 1.1× 379 0.9× 361 0.9× 453 2.1× 160 0.9× 41 1.8k
Sophie Holmes 405 0.7× 231 0.5× 345 0.9× 178 0.8× 227 1.3× 44 1.4k
Simon Zhornitsky 331 0.6× 287 0.7× 619 1.5× 380 1.7× 239 1.3× 81 1.8k
Chen-Jee Hong 256 0.5× 573 1.3× 508 1.3× 383 1.7× 109 0.6× 49 1.7k
Gustavo A. Angarita 511 0.9× 232 0.5× 488 1.2× 205 0.9× 364 2.0× 74 1.7k
Christoph Fehr 630 1.1× 179 0.4× 338 0.8× 270 1.2× 148 0.8× 45 1.7k
Beata R. Godlewska 373 0.7× 463 1.1× 603 1.5× 346 1.6× 216 1.2× 66 1.8k
Asuka Katsuki 324 0.6× 272 0.6× 440 1.1× 426 1.9× 144 0.8× 82 1.4k
Javier de Diego-Adeliño 250 0.4× 383 0.9× 372 0.9× 216 1.0× 131 0.7× 36 1.3k

Countries citing papers authored by Jenny Ceccarini

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Ceccarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenny Ceccarini

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