Mohamed Kabbaj

8.3k total citations
94 papers, 6.0k citations indexed

About

Mohamed Kabbaj is a scholar working on Behavioral Neuroscience, Social Psychology and Biological Psychiatry. According to data from OpenAlex, Mohamed Kabbaj has authored 94 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Behavioral Neuroscience, 36 papers in Social Psychology and 28 papers in Biological Psychiatry. Recurrent topics in Mohamed Kabbaj's work include Stress Responses and Cortisol (53 papers), Neuroendocrine regulation and behavior (35 papers) and Tryptophan and brain disorders (28 papers). Mohamed Kabbaj is often cited by papers focused on Stress Responses and Cortisol (53 papers), Neuroendocrine regulation and behavior (35 papers) and Tryptophan and brain disorders (28 papers). Mohamed Kabbaj collaborates with scholars based in United States, France and Italy. Mohamed Kabbaj's co-authors include Florian Duclot, Nicole Carrier, Huda Akil, Stefania Maccari, Michel Le Moal, Fiona Hollis, Stanley J. Watson, Ceylan Isgor, David Dietz and H. Simon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Mohamed Kabbaj

93 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Kabbaj United States 42 2.8k 2.0k 1.5k 1.3k 1.0k 94 6.0k
Marianne B. Müller Germany 48 3.6k 1.3× 2.0k 1.0× 1.4k 0.9× 1.7k 1.3× 910 0.9× 134 7.3k
Zul Merali Canada 37 2.3k 0.8× 1.7k 0.8× 1.5k 1.0× 996 0.7× 758 0.7× 120 5.2k
David A. Slattery Germany 39 2.1k 0.8× 2.8k 1.4× 1.4k 0.9× 1.0k 0.8× 817 0.8× 83 5.5k
Victor Viau Canada 40 5.2k 1.9× 3.4k 1.7× 1.5k 1.0× 1.2k 0.9× 523 0.5× 70 8.4k
Ilia N. Karatsoreos United States 39 2.3k 0.8× 1.3k 0.6× 1.4k 0.9× 954 0.7× 654 0.6× 79 6.6k
Graziano Pinna United States 43 2.5k 0.9× 1.4k 0.7× 1.8k 1.2× 1.3k 1.0× 1.1k 1.1× 108 5.5k
Therese A. Kosten United States 47 1.7k 0.6× 1.3k 0.6× 3.0k 2.0× 972 0.7× 1.4k 1.4× 164 6.6k
Christoph Anacker United States 26 2.6k 0.9× 755 0.4× 1.1k 0.8× 1.8k 1.4× 1.2k 1.2× 46 6.1k
Boldizsár Czéh Germany 39 2.9k 1.0× 1.1k 0.5× 2.6k 1.8× 1.8k 1.4× 829 0.8× 85 7.2k
Alicia A. Walf United States 37 2.9k 1.0× 1.7k 0.8× 1.4k 0.9× 666 0.5× 972 0.9× 89 6.9k

Countries citing papers authored by Mohamed Kabbaj

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Kabbaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Kabbaj

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

All Works

20 of 20 papers shown
1.
Strong, Caroline E., et al.. (2024). Exploring ketamine’s reinforcement, cue-induced reinstatement, and nucleus accumbens cFos activation in male and female long evans rats. Neuropharmacology. 255. 110008–110008. 2 indexed citations
2.
Duclot, Florian, et al.. (2024). Ceftriaxone alters the gut microbiome composition and reduces alcohol intake in male and female Sprague–Dawley rats. Alcohol. 120. 169–178. 4 indexed citations
3.
Kabbaj, Mohamed, et al.. (2024). The role of CART peptide in learning and memory: A potential therapeutic target in memory-related disorders. Peptides. 181. 171298–171298. 1 indexed citations
4.
Dalla, Christina, Ivana Jarić, Georgia E. Hodes, et al.. (2023). Practical solutions for including sex as a biological variable (SABV) in preclinical neuropsychopharmacological research. Journal of Neuroscience Methods. 401. 110003–110003. 17 indexed citations
5.
Saland, Samantha K., et al.. (2022). Sex- and estrous-cycle dependent dorsal hippocampal phosphoproteomic changes induced by low-dose ketamine. Scientific Reports. 12(1). 6 indexed citations
6.
7.
Duclot, Florian & Mohamed Kabbaj. (2021). Epigenetics of Aggression. Current topics in behavioral neurosciences. 54. 283–310. 5 indexed citations
8.
Duclot, Florian, Lindsay L. Sailer, Panagiotis Koutakis, Zuoxin Wang, & Mohamed Kabbaj. (2020). Transcriptomic Regulations Underlying Pair-bond Formation and Maintenance in the Socially Monogamous Male and Female Prairie Vole. Biological Psychiatry. 91(1). 141–151. 18 indexed citations
9.
Wilber, Aaron A., et al.. (2020). Sex differences and effects of the estrous stage on hippocampal‐prefrontal theta communications. Physiological Reports. 8(22). e14646–e14646. 8 indexed citations
10.
Duclot, Florian, et al.. (2017). Epigenetic regulation of motivated behaviors by histone deacetylase inhibitors. Neuroscience & Biobehavioral Reviews. 105. 305–317. 25 indexed citations
11.
Qiao, Haifa, Bradley R. Groveman, Shuang Feng, et al.. (2015). Regulated internalization of NMDA receptors drives PKD1-mediated suppression of the activity of residual cell-surface NMDA receptors. Molecular Brain. 8(1). 75–75. 7 indexed citations
12.
Jourdi, Hussam & Mohamed Kabbaj. (2013). Acute BDNF Treatment Upregulates GluR1-SAP97 and GluR2-GRIP1 Interactions: Implications for Sustained AMPA Receptor Expression. PLoS ONE. 8(2). e57124–e57124. 22 indexed citations
13.
Liang, Dan, et al.. (2012). Histone dosage regulates DNA damage sensitivity in a checkpoint-independent manner by the homologous recombination pathway. Nucleic Acids Research. 40(19). 9604–9620. 44 indexed citations
14.
15.
Dietz, David, et al.. (2007). Corticosterone fails to produce conditioned place preference or conditioned place aversion in rats. Behavioural Brain Research. 181(2). 287–291. 25 indexed citations
16.
Talbi, Mohammed, et al.. (2006). La formation à distance, un système complexe et compliqué. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
17.
18.
Kabbaj, Mohamed, Simon J. Evans, Stanley J. Watson, & Huda Akil. (2004). The search for the neurobiological basis of vulnerability to drug abuse: using microarrays to investigate the role of stress and individual differences. Neuropharmacology. 47. 111–122. 48 indexed citations
19.
Evans, Simon J., Nicole A. Datson, Mohamed Kabbaj, et al.. (2002). Evaluation of Affymetrix Gene Chip sensitivity in rat hippocampal tissue using SAGE analysis*. European Journal of Neuroscience. 16(3). 409–413. 94 indexed citations
20.
Kabbaj, Mohamed, Christine Norton, Sara Kollack‐Walker, et al.. (2001). Social defeat alters the acquisition of cocaine self-administration in rats: role of individual differences in cocaine-taking behavior. Psychopharmacology. 158(4). 382–387. 119 indexed citations

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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