Michael J. Asmussen

673 total citations
36 papers, 493 citations indexed

About

Michael J. Asmussen is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Michael J. Asmussen has authored 36 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 14 papers in Cognitive Neuroscience and 13 papers in Orthopedics and Sports Medicine. Recurrent topics in Michael J. Asmussen's work include Motor Control and Adaptation (13 papers), Muscle activation and electromyography studies (11 papers) and Lower Extremity Biomechanics and Pathologies (11 papers). Michael J. Asmussen is often cited by papers focused on Motor Control and Adaptation (13 papers), Muscle activation and electromyography studies (11 papers) and Lower Extremity Biomechanics and Pathologies (11 papers). Michael J. Asmussen collaborates with scholars based in Canada, Germany and Australia. Michael J. Asmussen's co-authors include Aimee J. Nelson, Benno M. Nigg, Mark F. Jacobs, Saša Čigoja, Jared R. Fletcher, Colin R. Firminger, W. Brent Edwards, Sandro Nigg, M. Mohr and Wing‐Kai Lam and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Journal of Applied Physiology.

In The Last Decade

Michael J. Asmussen

32 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Asmussen Canada 14 282 194 189 171 49 36 493
Rinaldo A. Mezzarane Brazil 14 280 1.0× 198 1.0× 152 0.8× 97 0.6× 84 1.7× 28 548
Trevor S. Barss Canada 18 359 1.3× 188 1.0× 207 1.1× 162 0.9× 23 0.5× 31 753
Volker Zschorlich Germany 13 180 0.6× 156 0.8× 123 0.7× 169 1.0× 12 0.2× 36 551
B.M.H. van Wezel Netherlands 9 418 1.5× 235 1.2× 131 0.7× 94 0.5× 21 0.4× 10 678
Nicholas D. J. Strzalkowski Canada 13 169 0.6× 152 0.8× 54 0.3× 140 0.8× 59 1.2× 27 458
Hiroki Obata Japan 15 262 0.9× 177 0.9× 164 0.9× 106 0.6× 8 0.2× 45 511
Jacqueline A. Palmer United States 15 212 0.8× 134 0.7× 169 0.9× 51 0.3× 18 0.4× 27 603
Jean‐Pierre Roll France 7 311 1.1× 267 1.4× 68 0.4× 294 1.7× 111 2.3× 8 787
Edward W. Block Canada 10 116 0.4× 291 1.5× 89 0.5× 53 0.3× 38 0.8× 18 522
F Horák United States 8 173 0.6× 288 1.5× 139 0.7× 141 0.8× 15 0.3× 17 766

Countries citing papers authored by Michael J. Asmussen

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Asmussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Asmussen

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Asmussen. A scholar is included among the top collaborators of Michael J. Asmussen 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 Michael J. Asmussen. Michael J. Asmussen 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.
Asmussen, Michael J., F. Cumhur Öner, Klaus John Schnake, et al.. (2025). Surgical versus Non-Surgical Treatment of Thoracolumbar Burst Fractures in Neurologically Intact Patients: A Prospective International Multicentre Cohort Study. Global Spine Journal. 16(1). 628–638. 1 indexed citations
4.
Wright, David, Alessandro D. Uboldi, Trevor Wilson, et al.. (2025). A pre-existing chronic Toxoplasma gondii infection promotes epileptogenesis and neuropathology in a mouse model of mesial temporal lobe epilepsy. Brain Behavior and Immunity. 128. 440–455. 3 indexed citations
5.
Kinnunen, Matti, Tuomas Happonen, Christian A. Clermont, et al.. (2024). Wearable Upper Arm SpO2 Sensor for Wellness Monitoring. IEEE Transactions on Biomedical Engineering. 72(5). 1766–1774.
6.
Gollhofer, Albert, et al.. (2024). Comparison of muscle activity of the lower limbs while running on different treadmill models. Frontiers in Human Neuroscience. 18. 1341772–1341772. 1 indexed citations
7.
Ludwig, Taryn, et al.. (2024). T1 Pelvic and Lumbar Pelvic Angles Normative Values. Spine. 50(16). 1135–1138. 1 indexed citations
8.
Asmussen, Michael J., et al.. (2022). 2021 ISB World Athletics Award for Biomechanics: The Subtalar Joint Maintains “Spring-Like” Function While Running in Footwear That Perturbs Foot Pronation. Journal of Applied Biomechanics. 38(4). 221–231. 2 indexed citations
9.
Čigoja, Saša, Michael J. Asmussen, Colin R. Firminger, et al.. (2020). The Effects of Increased Midsole Bending Stiffness of Sport Shoes on Muscle-Tendon Unit Shortening and Shortening Velocity: a Randomised Crossover Trial in Recreational Male Runners. Sports Medicine - Open. 6(1). 9–9. 41 indexed citations
10.
Čigoja, Saša, Colin R. Firminger, Michael J. Asmussen, et al.. (2019). Effects of midsole bending stiffness on arch deformation of the human foot during running. Footwear Science. 11(sup1). S181–S182. 1 indexed citations
11.
Firminger, Colin R., Saša Čigoja, Michael J. Asmussen, et al.. (2019). Effect of longitudinal bending stiffness and running speed on a probabilistic achilles tendinopathy model. Footwear Science. 11(sup1). S66–S68. 3 indexed citations
12.
Asmussen, Michael J., et al.. (2019). The Submaximal Lateral Shuffle Test: A reliability and sensitivity analysis. Journal of Sports Sciences. 37(18). 2066–2074. 5 indexed citations
13.
Asmussen, Michael J., et al.. (2018). Force measurements during running on different instrumented treadmills. Journal of Biomechanics. 84. 263–268. 15 indexed citations
14.
Jacobs, Mark F., et al.. (2014). Continuous theta-burst stimulation over primary somatosensory cortex modulates short-latency afferent inhibition. Clinical Neurophysiology. 125(11). 2253–2259. 45 indexed citations
15.
Asmussen, Michael J., et al.. (2014). Modulation of Short-Latency Afferent Inhibition Depends on Digit and Task-Relevance. PLoS ONE. 9(8). e104807–e104807. 30 indexed citations
16.
Jacobs, Mark F., et al.. (2013). 30 Hz Theta-burst Stimulation Over Primary Somatosensory Cortex Modulates Corticospinal Output to the Hand. Brain stimulation. 7(2). 269–274. 34 indexed citations
17.
Asmussen, Michael J., et al.. (2013). Short-Latency Afferent Inhibition Modulation during Finger Movement. PLoS ONE. 8(4). e60496–e60496. 41 indexed citations
18.
Jacobs, Mark F., et al.. (2013). Continuous theta-burst stimulation over the primary somatosensory cortex modulates interhemispheric inhibition. Neuroreport. 24(7). 394–398. 5 indexed citations
19.
Asmussen, Michael J., et al.. (2012). Theta burst repetitive transcranial magnetic stimulation attenuates somatosensory evoked potentials from the lower limb. BMC Neuroscience. 13(1). 133–133. 5 indexed citations
20.
Asmussen, Michael J., et al.. (2000). Effects of serotonin1/2 receptor agonists on dark-phase food and water intake in rats. Pharmacology Biochemistry and Behavior. 67(2). 291–305. 21 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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