James P. Mackay

505 total citations
14 papers, 240 citations indexed

About

James P. Mackay is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, James P. Mackay has authored 14 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in James P. Mackay's work include Neuroscience and Neuropharmacology Research (8 papers), Genetic Neurodegenerative Diseases (8 papers) and Neurological disorders and treatments (6 papers). James P. Mackay is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Genetic Neurodegenerative Diseases (8 papers) and Neurological disorders and treatments (6 papers). James P. Mackay collaborates with scholars based in Canada, United States and Russia. James P. Mackay's co-authors include William F. Colmers, Janice H. Urban, Lynn A. Raymond, Johannes Burtscher, Luca Zangrandi, Christoph Schwarzer, M. Regina DeJoseph, Randy J. Leitermann, Robert A. Marr and Marja D. Sepers and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurochemistry and Human Molecular Genetics.

In The Last Decade

James P. Mackay

14 papers receiving 238 citations

Peers

James P. Mackay
Xenos Mason United States
Anthony L. Berger United States
Casey R. Vickstrom United States
William C. Buchta United States
Sunny Zhihong Jiang United States
Claire E. Stelly United States
Xenos Mason United States
James P. Mackay
Citations per year, relative to James P. Mackay James P. Mackay (= 1×) peers Xenos Mason

Countries citing papers authored by James P. Mackay

Since Specialization
Citations

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

Fields of papers citing papers by James P. Mackay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Mackay. 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 James P. Mackay. The network helps show where James P. Mackay may publish in the future.

Co-authorship network of co-authors of James P. Mackay

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

All Works

14 of 14 papers shown
1.
Mackay, James P., et al.. (2024). Mechanisms of synapse‐to‐nucleus calcium signalling in striatal neurons and impairments in Huntington's disease. Journal of Neurochemistry. 168(9). 2671–2689. 4 indexed citations
2.
Mackay, James P., et al.. (2024). Synaptic modulation of glutamate in striatum of the YAC128 mouse model of Huntington disease. Neurobiology of Disease. 205. 106774–106774. 1 indexed citations
3.
Sepers, Marja D., et al.. (2023). Age- and region-dependent cortical excitability in the zQ175 Huntington disease mouse model. Human Molecular Genetics. 33(5). 387–399. 3 indexed citations
4.
Mackay, James P., et al.. (2023). Activin A targets extrasynaptic NMDA receptors to ameliorate neuronal and behavioral deficits in a mouse model of Huntington disease. Neurobiology of Disease. 189. 106360–106360. 4 indexed citations
5.
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
6.
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
7.
Mackay, James P., et al.. (2021). Long‐Lived Organotypic Slice Culture Model of the Rat Basolateral Amygdala. Current Protocols. 1(10). e267–e267. 1 indexed citations
9.
Mackay, James P., et al.. (2019). NPY2 Receptors Reduce Tonic Action Potential-Independent GABAB Currents in the Basolateral Amygdala. Journal of Neuroscience. 39(25). 4909–4930. 18 indexed citations
10.
Mackay, James P., et al.. (2018). Cause or compensation?—Altered neuronal Ca2+ handling in Huntington's disease. CNS Neuroscience & Therapeutics. 24(4). 301–310. 29 indexed citations
11.
Schmidt, Mandi E., et al.. (2018). Altering cortical input unmasks synaptic phenotypes in the YAC128 cortico-striatal co-culture model of Huntington disease. BMC Biology. 16(1). 58–58. 12 indexed citations
12.
Mackay, James P., et al.. (2018). NPY Induces Stress Resilience via Downregulation ofIhin Principal Neurons of Rat Basolateral Amygdala. Journal of Neuroscience. 38(19). 4505–4520. 29 indexed citations
13.
Zangrandi, Luca, Johannes Burtscher, James P. Mackay, William F. Colmers, & Christoph Schwarzer. (2016). The G‐protein biased partial κ opioid receptor agonist 6′‐GNTI blocks hippocampal paroxysmal discharges without inducing aversion. British Journal of Pharmacology. 173(11). 1756–1767. 26 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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