Chris J. McNeil

127 total papers · 2.9k total citations
86 papers, 2.2k citations indexed

About

Chris J. McNeil is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Chris J. McNeil has authored 86 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Biomedical Engineering, 31 papers in Cognitive Neuroscience and 30 papers in Neurology. Recurrent topics in Chris J. McNeil's work include Muscle activation and electromyography studies (54 papers), Motor Control and Adaptation (28 papers) and Transcranial Magnetic Stimulation Studies (28 papers). Chris J. McNeil is often cited by papers focused on Muscle activation and electromyography studies (54 papers), Motor Control and Adaptation (28 papers) and Transcranial Magnetic Stimulation Studies (28 papers). Chris J. McNeil collaborates with scholars based in Canada, Australia and United States. Chris J. McNeil's co-authors include Charles L. Rice, Simon C. Gandevia, Janet L. Taylor, Timothy J. Doherty, Daniel W. Stashuk, Jane E. Butler, Peter Martin, David Kennedy, Brian H. Dalton and Anthony A. Vandervoort and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Chris J. McNeil

81 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chris J. McNeil 1.3k 637 602 547 296 86 2.2k
Lisa Griffin 1.2k 0.9× 493 0.8× 252 0.4× 460 0.8× 167 0.6× 69 2.8k
Stéphane Baudry 1.1k 0.8× 818 1.3× 210 0.3× 411 0.8× 228 0.8× 53 1.9k
Inge Zijdewind 1.4k 1.0× 536 0.8× 638 1.1× 1.1k 2.0× 110 0.4× 86 3.0k
Marc Jubeau 1.2k 0.9× 962 1.5× 210 0.3× 235 0.4× 366 1.2× 77 2.2k
David W. Russ 811 0.6× 557 0.9× 223 0.4× 219 0.4× 303 1.0× 80 2.0k
Jonathan P. Farthing 848 0.6× 1.2k 1.8× 298 0.5× 337 0.6× 244 0.8× 81 2.6k
Brian H. Dalton 842 0.6× 559 0.9× 252 0.4× 387 0.7× 100 0.3× 75 1.6k
Lennart Grimby 936 0.7× 317 0.5× 222 0.4× 480 0.9× 116 0.4× 46 1.8k
Julien Gondin 1.1k 0.8× 630 1.0× 223 0.4× 207 0.4× 265 0.9× 74 2.4k
Nicolas Place 1.5k 1.1× 1.1k 1.8× 217 0.4× 407 0.7× 587 2.0× 97 2.9k

Countries citing papers authored by Chris J. McNeil

Since Specialization
Citations

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

Fields of papers citing papers by Chris J. McNeil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris J. McNeil. 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 Chris J. McNeil. The network helps show where Chris J. McNeil may publish in the future.

Co-authorship network of co-authors of Chris J. McNeil

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

All Works

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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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