Nicolas Doyon

1.5k total citations
29 papers, 934 citations indexed

About

Nicolas Doyon is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Algebra and Number Theory. According to data from OpenAlex, Nicolas Doyon has authored 29 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 9 papers in Algebra and Number Theory. Recurrent topics in Nicolas Doyon's work include Analytic Number Theory Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Ion channel regulation and function (5 papers). Nicolas Doyon is often cited by papers focused on Analytic Number Theory Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Ion channel regulation and function (5 papers). Nicolas Doyon collaborates with scholars based in Canada, France and United States. Nicolas Doyon's co-authors include Yves De Koninck, Steven A. Prescott, Antoine G. Godin, Laurent Vinay, Annie Castonguay, Francesco Ferrini, Louis-Étienne Lorenzo, Jean‐Martin Beaulieu, Thomas Del’Guidice and Daniela Mohr and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Nicolas Doyon

25 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Doyon Canada 9 602 360 345 203 146 29 934
Pascal Darbon France 17 585 1.0× 213 0.6× 294 0.9× 260 1.3× 104 0.7× 28 1.2k
Marat Mukhtarov France 19 744 1.2× 172 0.5× 521 1.5× 247 1.2× 98 0.7× 37 1.2k
Vítor Pinto Portugal 16 288 0.5× 403 1.1× 276 0.8× 91 0.4× 133 0.9× 19 896
Erin R. Hascup United States 18 522 0.9× 412 1.1× 251 0.7× 172 0.8× 160 1.1× 50 1.1k
William T. Birdsong United States 12 549 0.9× 194 0.5× 781 2.3× 231 1.1× 56 0.4× 19 1.6k
Neil R. Hardingham United Kingdom 18 976 1.6× 225 0.6× 544 1.6× 443 2.2× 162 1.1× 20 1.4k
Samuel Frère United States 15 549 0.9× 424 1.2× 529 1.5× 250 1.2× 111 0.8× 19 1.2k
Enhui Pan United States 14 870 1.4× 137 0.4× 476 1.4× 293 1.4× 94 0.6× 16 1.3k
Armelle Rancillac France 17 722 1.2× 219 0.6× 332 1.0× 512 2.5× 314 2.2× 37 1.4k
Zoltán Gerevich Germany 24 567 0.9× 241 0.7× 515 1.5× 156 0.8× 216 1.5× 45 1.4k

Countries citing papers authored by Nicolas Doyon

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Doyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Doyon

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Doyon. A scholar is included among the top collaborators of Nicolas Doyon 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 Nicolas Doyon. Nicolas Doyon 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.
Duchesne, Simon, et al.. (2024). A nano‐ to microscale, complex and multifactorial computational model of Alzheimer’s disease. Alzheimer s & Dementia. 20(S1). e088850–e088850.
2.
Doyon, Nicolas, et al.. (2024). A computational model of Alzheimer's disease at the nano, micro, and macroscales. Frontiers in Neuroinformatics. 18. 1348113–1348113. 6 indexed citations
3.
Doyon, Nicolas, et al.. (2024). A scoping review of mathematical models covering Alzheimer's disease progression. Frontiers in Neuroinformatics. 18. 1281656–1281656. 5 indexed citations
4.
Li, Xiaoting, et al.. (2022). Computational modeling of trans-synaptic nanocolumns, a modulator of synaptic transmission. Frontiers in Computational Neuroscience. 16. 969119–969119. 2 indexed citations
5.
Ferrini, Francesco, Jimena Pérez-Sánchez, Louis-Étienne Lorenzo, et al.. (2020). Differential chloride homeostasis in the spinal dorsal horn locally shapes synaptic metaplasticity and modality-specific sensitization. Nature Communications. 11(1). 3935–3935. 38 indexed citations
6.
Lorenzo, Louis-Étienne, Antoine G. Godin, Francesco Ferrini, et al.. (2020). Enhancing neuronal chloride extrusion rescues α2/α3 GABAA-mediated analgesia in neuropathic pain. Nature Communications. 11(1). 869–869. 45 indexed citations
7.
Doyon, Nicolas, et al.. (2020). Modelling dendritic spines with the finite element method, investigating the impact of geometry on electric and calcic responses. Journal of Mathematical Biology. 81(2). 517–547. 3 indexed citations
8.
Doyon, Nicolas, et al.. (2020). Non-invasive neuromodulation for tinnitus: A meta-analysis and modeling studies. Brain stimulation. 14(1). 113–128. 25 indexed citations
9.
Doyon, Nicolas, et al.. (2018). Sensitivity analysis of the Poisson Nernst–Planck equations: a finite element approximation for the sensitive analysis of an electrodiffusion model. Journal of Mathematical Biology. 78(1-2). 21–56. 2 indexed citations
10.
Doyon, Nicolas, Laurent Vinay, Steven A. Prescott, & Yves De Koninck. (2016). Chloride Regulation: A Dynamic Equilibrium Crucial for Synaptic Inhibition. Neuron. 89(6). 1157–1172. 172 indexed citations
11.
Doyon, Nicolas, Steven A. Prescott, & Yves De Koninck. (2016). Mild KCC2 Hypofunction Causes Inconspicuous Chloride Dysregulation that Degrades Neural Coding. Frontiers in Cellular Neuroscience. 9. 516–516. 25 indexed citations
12.
Doyon, Nicolas, et al.. (2016). Improved Simulation of Electrodiffusion in the Node of Ranvier by Mesh Adaptation. PLoS ONE. 11(8). e0161318–e0161318. 6 indexed citations
13.
Rovira, Xavier, Hugues‐Olivier Bertrand, Isabelle Brabet, et al.. (2015). Allosteric modulation of metabotropic glutamate receptors by chloride ions. The FASEB Journal. 29(10). 4174–4188. 29 indexed citations
14.
Koninck, Jean–Marie De, et al.. (2014). On the Powerful and Squarefree Parts of an Integer. 17. 1 indexed citations
15.
Vogels, Tim P., Robert C. Froemke, Nicolas Doyon, et al.. (2013). Inhibitory synaptic plasticity: spike timing-dependence and putative network function. Frontiers in Neural Circuits. 7. 119–119. 88 indexed citations
16.
Doyon, Nicolas, Steven A. Prescott, Annie Castonguay, et al.. (2011). Efficacy of Synaptic Inhibition Depends on Multiple, Dynamically Interacting Mechanisms Implicated in Chloride Homeostasis. PLoS Computational Biology. 7(9). e1002149–e1002149. 113 indexed citations
17.
Koninck, Jean–Marie De, Nicolas Doyon, & Florian Luca. (2007). Sur la quantité de nombres économiques. Acta Arithmetica. 127(2). 125–143. 1 indexed citations
18.
Koninck, Jean–Marie De & Nicolas Doyon. (2003). On a thin set of integers involving the largest prime factor function. International Journal of Mathematics and Mathematical Sciences. 2003(19). 1185–1192. 4 indexed citations
19.
Koninck, Jean–Marie De, Nicolas Doyon, & Imre Kátai. (2003). On the counting function for the Niven numbers. Acta Arithmetica. 106(3). 265–275. 5 indexed citations
20.
Koninck, Jean–Marie De & Nicolas Doyon. (2003). Large and small gaps between consecutive Niven numbers. 6. 25. 1 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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