Hakima Moukhles

1.3k total citations
31 papers, 1.1k citations indexed

About

Hakima Moukhles is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hakima Moukhles has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Cell Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hakima Moukhles's work include Muscle Physiology and Disorders (7 papers), Caveolin-1 and cellular processes (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Hakima Moukhles is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Caveolin-1 and cellular processes (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Hakima Moukhles collaborates with scholars based in Canada, France and United States. Hakima Moukhles's co-authors include Salvatore Carbonetto, Patrice D. Côté, Michael Lindenbaum, Geoffroy Noël, A. Nieoullon, A. Daszuta, Bharat Joshi, Marianne Amalric, Olivier Bosler and Guy Doucet and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and PLoS ONE.

In The Last Decade

Hakima Moukhles

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hakima Moukhles Canada 17 713 416 194 172 145 31 1.1k
Mary Simmons United States 6 833 1.2× 578 1.4× 249 1.3× 106 0.6× 184 1.3× 6 1.3k
Kateryna Kolkova Denmark 13 678 1.0× 465 1.1× 274 1.4× 101 0.6× 98 0.7× 17 1.2k
Patrick C. Nahirney Canada 17 580 0.8× 221 0.5× 121 0.6× 135 0.8× 79 0.5× 34 1.2k
Harold G. Marks United States 24 840 1.2× 685 1.6× 115 0.6× 125 0.7× 239 1.6× 48 1.6k
Arnab Barik United States 17 574 0.8× 346 0.8× 145 0.7× 398 2.3× 260 1.8× 27 1.2k
Gabriella Sekerková United States 17 350 0.5× 252 0.6× 185 1.0× 69 0.4× 87 0.6× 31 970
Toshiyuki Kumagai Japan 23 852 1.2× 345 0.8× 132 0.7× 152 0.9× 166 1.1× 60 1.5k
Jason M. Newbern United States 17 830 1.2× 390 0.9× 149 0.8× 88 0.5× 93 0.6× 35 1.3k
Jacquelyn A. Brown United States 20 414 0.6× 333 0.8× 170 0.9× 84 0.5× 309 2.1× 28 1.3k
Paulo H. Hashimoto Japan 16 308 0.4× 288 0.7× 205 1.1× 90 0.5× 46 0.3× 42 719

Countries citing papers authored by Hakima Moukhles

Since Specialization
Citations

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

Fields of papers citing papers by Hakima Moukhles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakima Moukhles

This figure shows the co-authorship network connecting the top 25 collaborators of Hakima Moukhles. A scholar is included among the top collaborators of Hakima Moukhles 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 Hakima Moukhles. Hakima Moukhles 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.
Moukhles, Hakima, et al.. (2017). Determining Cell-surface Expression and Endocytic Rate of Proteins in Primary Astrocyte Cultures Using Biotinylation. Journal of Visualized Experiments. 5 indexed citations
2.
3.
Joshi, Bharat, et al.. (2016). Aquaporin-4 Cell-Surface Expression and Turnover Are Regulated by Dystroglycan, Dynamin, and the Extracellular Matrix in Astrocytes. PLoS ONE. 11(10). e0165439–e0165439. 39 indexed citations
4.
5.
Levinson, Joshua N., Geoffroy Noël, Gregory R. Handrigan, et al.. (2009). Synaptic localization of neuroligin 2 in the rodent retina: Comparative study with the dystroglycan‐containing complex. Journal of Neuroscience Research. 88(4). 837–849. 2 indexed citations
6.
Noël, Geoffroy, et al.. (2009). Interdependence of Laminin-mediated Clustering of Lipid Rafts and the Dystrophin Complex in Astrocytes. Journal of Biological Chemistry. 284(29). 19694–19704. 35 indexed citations
7.
Levinson, Joshua N., et al.. (2009). Postsynaptic scaffolding molecules modulate the localization of neuroligins. Neuroscience. 165(3). 782–793. 33 indexed citations
8.
Stuart, Heather, et al.. (2008). Localized Rho GTPase Activation Regulates RNA Dynamics and Compartmentalization in Tumor Cell Protrusions. Journal of Biological Chemistry. 283(50). 34785–34795. 20 indexed citations
9.
Noël, Geoffroy, et al.. (2007). Distribution of potassium ion and water permeable channels at perivascular glia in brain and retina of the Largemyd mouse. Journal of Neurochemistry. 103(5). 1940–1953. 29 indexed citations
10.
Joly, Sandrine, Allison Dorfman, Sylvain Chemtob, Hakima Moukhles, & Pierre Lachapelle. (2006). Structural and functional consequences of bright light exposure on the retina of neonatal rats. Documenta Ophthalmologica. 113(2). 93–103. 8 indexed citations
11.
12.
Côté, Patrice D., Hakima Moukhles, & Salvatore Carbonetto. (2002). Dystroglycan Is Not Required for Localization of Dystrophin, Syntrophin, and Neuronal Nitric-oxide Synthase at the Sarcolemma but Regulates Integrin α7B Expression and Caveolin-3 Distribution. Journal of Biological Chemistry. 277(7). 4672–4679. 51 indexed citations
13.
Leschziner, Andrés E., Hakima Moukhles, Michael Lindenbaum, et al.. (2000). Neural Regulation of α‐Dystroglycan Biosynthesis and Glycosylation in Skeletal Muscle. Journal of Neurochemistry. 74(1). 70–80. 47 indexed citations
14.
Moukhles, Hakima, Rouel S. Roque, & Salvatore Carbonetto. (2000). ?-dystroglycan isoforms are differentially distributed in adult rat retina. The Journal of Comparative Neurology. 420(2). 182–194. 35 indexed citations
15.
Côté, Patrice D., Hakima Moukhles, Michael Lindenbaum, & Salvatore Carbonetto. (1999). Chimaeric mice deficient in dystroglycans develop muscular dystrophy and have disrupted myoneural synapses. Nature Genetics. 23(3). 338–342. 190 indexed citations
16.
Moukhles, Hakima, Olivier Bosler, J. Paul Bolam, et al.. (1997). Quantitative and morphometric data indicate precise cellular interactions between serotonin terminals and postsynaptic targets in rat substantia nigra. Neuroscience. 76(4). 1159–1171. 116 indexed citations
17.
Moukhles, Hakima, et al.. (1995). Efficient immunodetection of various protein antigens in glutaraldehyde-fixed brain tissue.. Journal of Histochemistry & Cytochemistry. 43(12). 1285–1291. 24 indexed citations
18.
Amalric, Marianne, Hakima Moukhles, A. Nieoullon, & A. Daszuta. (1995). Complex Deficits on Reaction Time Performance following Bilateral Intrastriatal 6‐OHDA Infusion in the Rat. European Journal of Neuroscience. 7(5). 972–980. 81 indexed citations
19.
Moukhles, Hakima, et al.. (1994). Regulation of dopamine levels in intrastriatal grafts of fetal mesencephalic cell suspension: an in vivo voltammetric approach. Experimental Brain Research. 102(1). 10–20. 6 indexed citations
20.
Moukhles, Hakima, A. Nieoullon, & A. Daszuta. (1992). Early and widespread normalization of dopamine-neuropeptide Y interactions in the rat striatum after transplantation of fetal mesencephalon cells. Neuroscience. 47(4). 781–792. 15 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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