Christopher M. Laine

1.4k total citations
28 papers, 925 citations indexed

About

Christopher M. Laine is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Neurology. According to data from OpenAlex, Christopher M. Laine has authored 28 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 16 papers in Biomedical Engineering and 10 papers in Neurology. Recurrent topics in Christopher M. Laine's work include Muscle activation and electromyography studies (15 papers), Motor Control and Adaptation (11 papers) and Neurological disorders and treatments (9 papers). Christopher M. Laine is often cited by papers focused on Muscle activation and electromyography studies (15 papers), Motor Control and Adaptation (11 papers) and Neurological disorders and treatments (9 papers). Christopher M. Laine collaborates with scholars based in United States, Germany and United Kingdom. Christopher M. Laine's co-authors include Dario Farina, Francisco J. Valero‐Cuevas, Frank Mayer, Deborah Falla, Eduardo Martinez‐Valdes, Francesco Negro, Clayton P. Mosher, Katalin M. Gothard, Kevin Spitler and E. Fiona Bailey and has published in prestigious journals such as Journal of Neuroscience, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Christopher M. Laine

27 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher M. Laine United States 17 595 534 175 110 106 28 925
Harri Piitulainen Finland 20 637 1.1× 784 1.5× 205 1.2× 93 0.8× 175 1.7× 73 1.3k
Carol J. Mottram United States 9 524 0.9× 353 0.7× 206 1.2× 170 1.5× 106 1.0× 12 820
Rade Durbaba United Kingdom 15 380 0.6× 276 0.5× 173 1.0× 85 0.8× 100 0.9× 31 654
Michael D. Johnson United States 17 664 1.1× 482 0.9× 381 2.2× 149 1.4× 87 0.8× 28 1.1k
Junichi Ushiyama Japan 14 419 0.7× 359 0.7× 139 0.8× 35 0.3× 233 2.2× 26 774
Jennifer L. Stephenson United States 10 367 0.6× 232 0.4× 134 0.8× 63 0.6× 90 0.8× 13 698
Yasuhiro Kagamihara Japan 16 531 0.9× 460 0.9× 131 0.7× 173 1.6× 103 1.0× 32 960
Penelope A. McNulty Australia 21 400 0.7× 391 0.7× 144 0.8× 217 2.0× 67 0.6× 42 1.0k
Alexander Adam United States 8 839 1.4× 539 1.0× 187 1.1× 30 0.3× 296 2.8× 9 1.0k
Carlo J. DeLuca United States 4 551 0.9× 348 0.7× 177 1.0× 32 0.3× 153 1.4× 6 744

Countries citing papers authored by Christopher M. Laine

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Laine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Laine. 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 Christopher M. Laine. The network helps show where Christopher M. Laine may publish in the future.

Co-authorship network of co-authors of Christopher M. Laine

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Laine. A scholar is included among the top collaborators of Christopher M. Laine 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 Christopher M. Laine. Christopher M. Laine 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.
Schroeder, E. Todd, et al.. (2024). Initial development of skill with a reversed bicycle and a case series of experienced riders. Scientific Reports. 14(1). 4334–4334. 1 indexed citations
2.
Laine, Christopher M., et al.. (2021). Development of a Low-Cost, Modular Muscle–Computer Interface for At-Home Telerehabilitation for Chronic Stroke. Sensors. 21(5). 1806–1806. 14 indexed citations
3.
Laine, Christopher M., et al.. (2021). Temporal control of muscle synergies is linked with alpha‐band neural drive. The Journal of Physiology. 599(13). 3385–3402. 20 indexed citations
4.
Laine, Christopher M., et al.. (2021). Force variability is mostly not motor noise: Theoretical implications for motor control. PLoS Computational Biology. 17(3). e1008707–e1008707. 18 indexed citations
5.
Laine, Christopher M., et al.. (2020). A Virtual Reality Muscle–Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study. Sensors. 20(13). 3754–3754. 28 indexed citations
6.
Laine, Christopher M. & Francisco J. Valero‐Cuevas. (2020). Parkinson's Disease Exhibits Amplified Intermuscular Coherence During Dynamic Voluntary Action. Frontiers in Neurology. 11. 204–204. 11 indexed citations
7.
Laine, Christopher M., et al.. (2018). Periodontal mechanoreceptors and bruxism at low bite forces. Archives of Oral Biology. 98. 87–91. 6 indexed citations
8.
Laine, Christopher M., et al.. (2018). Cardinal features of involuntary force variability can arise from the closed-loop control of viscoelastic afferented muscles. PLoS Computational Biology. 14(1). e1005884–e1005884. 17 indexed citations
9.
Laine, Christopher M., et al.. (2017). Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies. Frontiers in Computational Neuroscience. 11. 17–17. 60 indexed citations
10.
Laine, Christopher M. & Francisco J. Valero‐Cuevas. (2017). Intermuscular coherence reflects functional coordination. Journal of Neurophysiology. 118(3). 1775–1783. 80 indexed citations
11.
Laine, Christopher M., et al.. (2016). Dynamic Fingertip Force Variability in Individuals With Parkinson’s Disease. Journal of Hand Therapy. 29(2). e8–e8. 2 indexed citations
12.
Martinez‐Valdes, Eduardo, Francesco Negro, Christopher M. Laine, et al.. (2016). Tracking motor units longitudinally across experimental sessions with high‐density surface electromyography. The Journal of Physiology. 595(5). 1479–1496. 141 indexed citations
13.
Laine, Christopher M., et al.. (2016). The Dynamics of Voluntary Force Production in Afferented Muscle Influence Involuntary Tremor. Frontiers in Computational Neuroscience. 10. 86–86. 16 indexed citations
14.
Martinez‐Valdes, Eduardo, Christopher M. Laine, Deborah Falla, Frank Mayer, & Dario Farina. (2015). High-density surface electromyography provides reliable estimates of motor unit behavior. Clinical Neurophysiology. 127(6). 2534–2541. 84 indexed citations
15.
Laine, Christopher M., Eduardo Martinez‐Valdes, Deborah Falla, Frank Mayer, & Dario Farina. (2015). Motor Neuron Pools of Synergistic Thigh Muscles Share Most of Their Synaptic Input. Journal of Neuroscience. 35(35). 12207–12216. 117 indexed citations
16.
Laine, Christopher M., Selçuk Yavuz, Jessica M. D’Amico, et al.. (2014). Jaw tremor as a physiological biomarker of bruxism. Clinical Neurophysiology. 126(9). 1746–1753. 9 indexed citations
17.
Laine, Christopher M., et al.. (2013). Human hypoglossal motor unit activities in exercise. The Journal of Physiology. 591(14). 3579–3590. 14 indexed citations
18.
Laine, Christopher M. & E. Fiona Bailey. (2010). Common Synaptic Input to the Human Hypoglossal Motor Nucleus. Journal of Neurophysiology. 105(1). 380–387. 22 indexed citations
19.
Laine, Christopher M., Kevin Spitler, Clayton P. Mosher, & Katalin M. Gothard. (2009). Behavioral Triggers of Skin Conductance Responses and Their Neural Correlates in the Primate Amygdala. Journal of Neurophysiology. 101(4). 1749–1754. 88 indexed citations
20.
Andino, Sara L. Gonzalez, et al.. (2008). 5. Role of the amygdala in the control of saccadic eye movements. Clinical Neurophysiology. 119(9). e166–e166.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Harri Piitulainen Breakdown of academic impact, for papers by Carol J. Mottram Breakdown of academic impact, for papers by Rade Durbaba Breakdown of academic impact, for papers by Michael D. Johnson Breakdown of academic impact, for papers by Junichi Ushiyama Breakdown of academic impact, for papers by Jennifer L. Stephenson Breakdown of academic impact, for papers by Yasuhiro Kagamihara Breakdown of academic impact, for papers by Penelope A. McNulty Breakdown of academic impact, for papers by Alexander Adam Breakdown of academic impact, for papers by Carlo J. DeLuca
Rankless by CCL
2026