James P. Coxon

7.1k total citations · 1 hit paper
78 papers, 4.3k citations indexed

About

James P. Coxon is a scholar working on Cognitive Neuroscience, Neurology and Biomedical Engineering. According to data from OpenAlex, James P. Coxon has authored 78 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cognitive Neuroscience, 38 papers in Neurology and 14 papers in Biomedical Engineering. Recurrent topics in James P. Coxon's work include Transcranial Magnetic Stimulation Studies (37 papers), Motor Control and Adaptation (27 papers) and Functional Brain Connectivity Studies (18 papers). James P. Coxon is often cited by papers focused on Transcranial Magnetic Stimulation Studies (37 papers), Motor Control and Adaptation (27 papers) and Functional Brain Connectivity Studies (18 papers). James P. Coxon collaborates with scholars based in Australia, Belgium and New Zealand. James P. Coxon's co-authors include Winston D. Byblow, Cathy M. Stinear, Stephan P. Swinnen, Nicole Wenderoth, Annouchka Van Impe, Daniel J. Goble, Melanie K. Fleming, P. Alan Barber, Peter Smale and Inge Leunissen and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

James P. Coxon

73 papers receiving 4.3k citations

Hit Papers

Functional potential in chronic stroke patients depends o... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James P. Coxon Australia 35 2.5k 1.5k 831 781 662 78 4.3k
Richard Staines Canada 39 2.9k 1.1× 1.4k 0.9× 729 0.9× 1.0k 1.3× 317 0.5× 152 4.8k
Patrick Ragert Germany 35 3.3k 1.3× 2.4k 1.5× 448 0.5× 969 1.2× 628 0.9× 114 5.4k
Christian Dettmers Germany 32 1.8k 0.7× 1.1k 0.7× 1.5k 1.8× 591 0.8× 343 0.5× 108 4.4k
Adriana Bastos Conforto Brazil 28 1.0k 0.4× 1.5k 1.0× 1.2k 1.5× 584 0.7× 360 0.5× 130 3.6k
Riccardo Mazzocchio Italy 30 1.8k 0.7× 2.1k 1.4× 947 1.1× 1.2k 1.5× 264 0.4× 69 4.0k
Brett W. Fling United States 28 1.3k 0.5× 807 0.5× 384 0.5× 566 0.7× 556 0.8× 83 3.6k
Udo Kischka United Kingdom 26 1.2k 0.5× 1.2k 0.8× 810 1.0× 481 0.6× 354 0.5× 57 3.2k
Antonio Fiaschi Italy 50 2.8k 1.1× 2.7k 1.8× 1.0k 1.2× 974 1.2× 502 0.8× 192 7.2k
Lumy Sawaki United States 27 1.6k 0.6× 1.7k 1.1× 1.2k 1.5× 922 1.2× 155 0.2× 56 3.5k
Stephen E. Nadeau United States 33 2.2k 0.9× 757 0.5× 2.0k 2.4× 561 0.7× 268 0.4× 102 5.0k

Countries citing papers authored by James P. Coxon

Since Specialization
Citations

This map shows the geographic impact of James P. Coxon'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. Coxon 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. Coxon more than expected).

Fields of papers citing papers by James P. Coxon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of James P. Coxon. A scholar is included among the top collaborators of James P. Coxon 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. Coxon. James P. Coxon 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.
Hendrikse, Joshua, et al.. (2025). Inducing motor cortex plasticity with repetitive transcranial ultrasound stimulation. Brain stimulation. 18(1). 480–480.
2.
Taylor, E., et al.. (2024). Exercise‐induced cortical disinhibition mediates the relationship between fitness and memory in older adults. The Journal of Physiology. 602(12). 2945–2959. 3 indexed citations
3.
Hendrikse, Joshua, Karyn Richardson, Rebecca Segrave, et al.. (2024). White matter alterations associated with chronic cannabis use disorder: a structural network and fixel-based analysis. Translational Psychiatry. 14(1). 429–429.
4.
Biabani, Mana, et al.. (2024). Disinhibition across Secondary Motor Cortical Regions during Motor Sequence Learning: A TMS-EEG Study. Journal of Neuroscience. 45(8). e0443242024–e0443242024.
5.
Andrews, Sophie C., et al.. (2023). A single bout of moderate-intensity aerobic exercise improves motor learning in premanifest and early Huntington’s disease. Frontiers in Psychology. 14. 1089333–1089333. 6 indexed citations
8.
Biabani, Mana, Alex Fornito, James P. Coxon, Ben Fulcher, & Nigel C. Rogasch. (2021). The correspondence between EMG and EEG measures of changes in cortical excitability following transcranial magnetic stimulation. The Journal of Physiology. 599(11). 2907–2932. 23 indexed citations
9.
Rattray, Ben, et al.. (2021). A Short-Term Intervention of High-Intensity Exercise and Anodal-tDCS on Motor Learning in Middle-Aged Adults: An RCT. Frontiers in Human Neuroscience. 15. 661079–661079. 3 indexed citations
10.
Hendrikse, Joshua, James P. Coxon, Chao Suo, et al.. (2020). Multi-day rTMS exerts site-specific effects on functional connectivity but does not influence associative memory performance. Cortex. 132. 423–440. 21 indexed citations
11.
Cirillo, John, et al.. (2019). Does hypnotic susceptibility influence information processing speed and motor cortical preparatory activity?. Neuropsychologia. 129. 179–190. 7 indexed citations
12.
He, Jason, et al.. (2018). Impaired motor inhibition in developmental coordination disorder. Brain and Cognition. 127. 23–33. 23 indexed citations
13.
MacDonald, Hayley J., Angus J. C. McMorland, Cathy M. Stinear, James P. Coxon, & Winston D. Byblow. (2017). An Activation Threshold Model for Response Inhibition. PLoS ONE. 12(1). e0169320–e0169320. 22 indexed citations
14.
Caeyenberghs, Karen, Alexander Leemans, James P. Coxon, et al.. (2011). Bimanual Coordination and Corpus Callosum Microstructure in Young Adults with Traumatic Brain Injury: A Diffusion Tensor Imaging Study. Journal of Neurotrauma. 28(6). 897–913. 55 indexed citations
15.
Sisti, Helene M., Monique Geurts, Jolien Gooijers, et al.. (2011). Testing Multiple Coordination Constraints with a Novel Bimanual Visuomotor Task. PLoS ONE. 6(8). e23619–e23619. 53 indexed citations
16.
Swinnen, Stephan P., Johan Wagemans, James P. Coxon, et al.. (2009). Shared neural resources between left and right interlimb coordination skills: The neural substrate of abstract motor representations. NeuroImage. 49(3). 2570–2580. 41 indexed citations
17.
Stinear, Cathy M., James P. Coxon, & Winston D. Byblow. (2008). Primary motor cortex and movement prevention: Where Stop meets Go. Neuroscience & Biobehavioral Reviews. 33(5). 662–673. 144 indexed citations
18.
Coxon, James P., Cathy M. Stinear, & Winston D. Byblow. (2008). Stop and Go: The Neural Basis of Selective Movement Prevention. Journal of Cognitive Neuroscience. 21(6). 1193–1203. 91 indexed citations
19.
Goble, Daniel J., James P. Coxon, Nicole Wenderoth, Annouchka Van Impe, & Stephan P. Swinnen. (2008). Proprioceptive sensibility in the elderly: Degeneration, functional consequences and plastic-adaptive processes. Neuroscience & Biobehavioral Reviews. 33(3). 271–278. 290 indexed citations
20.
Coxon, James P., Cathy M. Stinear, & Winston D. Byblow. (2007). Selective Inhibition of Movement. Journal of Neurophysiology. 97(3). 2480–2489. 144 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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