Faïza Benaliouad

995 total citations · 1 hit paper
8 papers, 686 citations indexed

About

Faïza Benaliouad is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Faïza Benaliouad has authored 8 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Faïza Benaliouad's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Faïza Benaliouad is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Faïza Benaliouad collaborates with scholars based in Canada, United States and United Kingdom. Faïza Benaliouad's co-authors include Roy A. Wise, Antonello Bonci, Garret D. Stuber, Ross A. McDevitt, Jonathan P. Britt, Pierre-Paul Rompré, Shitij Kapur, Sridhar Natesan, Eduardo D. Gigante and Peter S. McPherson and has published in prestigious journals such as Neuron, PLoS ONE and Scientific Reports.

In The Last Decade

Faïza Benaliouad

7 papers receiving 676 citations

Hit Papers

Synaptic and Behavioral Profile of Multiple Glutamatergic... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Faïza Benaliouad Canada 6 506 289 226 93 64 8 686
Phillip M. Baker United States 15 445 0.9× 353 1.2× 169 0.7× 89 1.0× 54 0.8× 22 709
Sietse Jonkman United Kingdom 11 516 1.0× 309 1.1× 254 1.1× 100 1.1× 32 0.5× 15 729
Andrea Hetzel United States 6 685 1.4× 302 1.0× 454 2.0× 82 0.9× 64 1.0× 7 919
Vivien Zell United States 13 503 1.0× 285 1.0× 238 1.1× 66 0.7× 56 0.9× 18 704
Judith Schweimer United Kingdom 13 354 0.7× 301 1.0× 150 0.7× 85 0.9× 30 0.5× 18 607
David A. Kupferschmidt United States 16 498 1.0× 300 1.0× 208 0.9× 96 1.0× 28 0.4× 23 727
Anna Tchenio France 10 408 0.8× 166 0.6× 167 0.7× 91 1.0× 53 0.8× 13 595
Huikun Wang United States 12 620 1.2× 252 0.9× 289 1.3× 73 0.8× 93 1.5× 18 790
Satoshi Yawata Japan 11 437 0.9× 209 0.7× 270 1.2× 52 0.6× 33 0.5× 16 635
Jonathan A. Sugam United States 13 501 1.0× 348 1.2× 227 1.0× 130 1.4× 76 1.2× 16 755

Countries citing papers authored by Faïza Benaliouad

Since Specialization
Citations

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

Fields of papers citing papers by Faïza Benaliouad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faïza Benaliouad

This figure shows the co-authorship network connecting the top 25 collaborators of Faïza Benaliouad. A scholar is included among the top collaborators of Faïza Benaliouad 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 Faïza Benaliouad. Faïza Benaliouad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Martin, Ryan, et al.. (2020). Dopamine D1 receptor signalling in dyskinetic Parkinsonian rats revealed by fiber photometry using FRET-based biosensors. Scientific Reports. 10(1). 14426–14426. 22 indexed citations
2.
Laflamme, Carl, Paul M. McKeever, Rahul Kumar, et al.. (2019). Implementation of an antibody characterization procedure and application to the major ALS/FTD disease gene C9ORF72. eLife. 8. 44 indexed citations
3.
Gigante, Eduardo D., et al.. (2016). Optogenetic Activation of a Lateral Hypothalamic-Ventral Tegmental Drive-Reward Pathway. PLoS ONE. 11(7). e0158885–e0158885. 16 indexed citations
4.
Britt, Jonathan P., Faïza Benaliouad, Ross A. McDevitt, et al.. (2012). Synaptic and Behavioral Profile of Multiple Glutamatergic Inputs to the Nucleus Accumbens. Neuron. 76(4). 790–803. 546 indexed citations breakdown →
5.
Benaliouad, Faïza, Simon Zhornitsky, & Pierre-Paul Rompré. (2010). Evidence that the reward attenuating effect of the D1-like antagonist, SCH-23390, is not mediated by its agonist action at the 5-HT2c receptors. Behavioural Brain Research. 217(2). 467–471. 5 indexed citations
6.
Benaliouad, Faïza, Shitij Kapur, Sridhar Natesan, & Pierre-Paul Rompré. (2009). Effects of the dopamine stabilizer, OSU-6162, on brain stimulation reward and on quinpirole-induced changes in reward and locomotion. European Neuropsychopharmacology. 19(6). 416–430. 20 indexed citations
7.
Benaliouad, Faïza, Shitij Kapur, & Pierre-Paul Rompré. (2006). Blockade of 5-HT2a Receptors Reduces Haloperidol-Induced Attenuation of Reward. Neuropsychopharmacology. 32(3). 551–561. 33 indexed citations
8.
Landry, Pierre, et al.. (2003). Increased use of antibiotics in clozapine-treated patients. International Clinical Psychopharmacology. 18(5). 297–298.

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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