Amy Smith-Dijak

533 total citations
9 papers, 295 citations indexed

About

Amy Smith-Dijak is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Amy Smith-Dijak has authored 9 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Amy Smith-Dijak's work include Genetic Neurodegenerative Diseases (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurological disorders and treatments (4 papers). Amy Smith-Dijak is often cited by papers focused on Genetic Neurodegenerative Diseases (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurological disorders and treatments (4 papers). Amy Smith-Dijak collaborates with scholars based in Canada, United States and Netherlands. Amy Smith-Dijak's co-authors include Lynn A. Raymond, Marja D. Sepers, Matthew P. Parsons, Michael R. Hayden, Michal Geva, Lily Y. J. Zhang, Eugenia Petoukhov, Amber L. Southwell, Yuanyun Xie and Ken Mackie and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Journal of Neurochemistry.

In The Last Decade

Amy Smith-Dijak

9 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Smith-Dijak Canada 8 248 185 120 21 17 9 295
Gabriel Villafane France 9 252 1.0× 186 1.0× 233 1.9× 41 2.0× 19 1.1× 9 428
Carlie Hoffman United States 7 130 0.5× 91 0.5× 82 0.7× 26 1.2× 18 1.1× 7 258
José Luis Etcheverry Argentina 13 223 0.9× 182 1.0× 187 1.6× 28 1.3× 33 1.9× 26 366
Kärt Mätlik Finland 9 147 0.6× 128 0.7× 42 0.3× 23 1.1× 21 1.2× 18 254
Jacqueline Medrano Montero Cuba 7 228 0.9× 167 0.9× 154 1.3× 15 0.7× 23 1.4× 17 270
Andrew McGarry United States 9 161 0.6× 121 0.7× 113 0.9× 6 0.3× 10 0.6× 23 220
Prasad Joshi United States 5 344 1.4× 212 1.1× 219 1.8× 17 0.8× 11 0.6× 9 392
Zinah Wassouf Germany 10 117 0.5× 125 0.7× 144 1.2× 44 2.1× 27 1.6× 15 278
Christina E. Khodr United States 9 121 0.5× 145 0.8× 104 0.9× 29 1.4× 33 1.9× 16 334
Paola Paoletti Spain 3 195 0.8× 184 1.0× 58 0.5× 7 0.3× 10 0.6× 5 278

Countries citing papers authored by Amy Smith-Dijak

Since Specialization
Citations

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

Fields of papers citing papers by Amy Smith-Dijak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy Smith-Dijak. 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 Amy Smith-Dijak. The network helps show where Amy Smith-Dijak may publish in the future.

Co-authorship network of co-authors of Amy Smith-Dijak

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

All Works

9 of 9 papers shown
1.
Mackay, James P., Amy Smith-Dijak, Peng Zhang, et al.. (2023). Axonal ER Ca2+Release Selectively Enhances Activity-Independent Glutamate Release in a Huntington Disease Model. Journal of Neuroscience. 43(20). JN–RM. 2 indexed citations
2.
Sepers, Marja D., James P. Mackay, Dongsheng Xiao, et al.. (2022). Altered cortical processing of sensory input in Huntington disease mouse models. Neurobiology of Disease. 169. 105740–105740. 9 indexed citations
3.
Smith-Dijak, Amy, et al.. (2021). Purkinje cell axonal swellings enhance action potential fidelity and cerebellar function. Nature Communications. 12(1). 4129–4129. 22 indexed citations
4.
Smith-Dijak, Amy, et al.. (2019). Impairment and Restoration of Homeostatic Plasticity in Cultured Cortical Neurons From a Mouse Model of Huntington Disease. Frontiers in Cellular Neuroscience. 13. 209–209. 33 indexed citations
5.
Smith-Dijak, Amy, Marja D. Sepers, & Lynn A. Raymond. (2019). Alterations in synaptic function and plasticity in Huntington disease. Journal of Neurochemistry. 150(4). 346–365. 94 indexed citations
6.
Sepers, Marja D., et al.. (2017). Endocannabinoid-Specific Impairment in Synaptic Plasticity in Striatum of Huntington's Disease Mouse Model. Journal of Neuroscience. 38(3). 544–554. 25 indexed citations
7.
Southwell, Amber L., Amy Smith-Dijak, Chris Kay, et al.. (2016). An enhanced Q175 knock-in mouse model of Huntington disease with higher mutant huntingtin levels and accelerated disease phenotypes. Human Molecular Genetics. 25(17). 3654–3675. 76 indexed citations
8.
Parsons, Matthew P., et al.. (2015). Impaired development of cortico-striatal synaptic connectivity in a cell culture model of Huntington's disease. Neurobiology of Disease. 87. 80–90. 26 indexed citations
9.
Wang, Liang, et al.. (2014). Region-specific Pro-survival Signaling and Global Neuronal Protection by Wild-type Huntingtin. Journal of Huntington s Disease. 3(4). 365–376. 8 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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2026