C. J. Heckman

11.5k total citations
179 papers, 8.2k citations indexed

About

C. J. Heckman is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, C. J. Heckman has authored 179 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Biomedical Engineering, 90 papers in Cellular and Molecular Neuroscience and 64 papers in Cognitive Neuroscience. Recurrent topics in C. J. Heckman's work include Muscle activation and electromyography studies (91 papers), Neuroscience and Neural Engineering (70 papers) and Neural dynamics and brain function (32 papers). C. J. Heckman is often cited by papers focused on Muscle activation and electromyography studies (91 papers), Neuroscience and Neural Engineering (70 papers) and Neural dynamics and brain function (32 papers). C. J. Heckman collaborates with scholars based in United States, Canada and Italy. C. J. Heckman's co-authors include Michael D. Johnson, Robert H. Lee, Michele D. Binder, Roger M. Enoka, David J. Bennett, Jenna Schuster, Randall K. Powers, Monica A. Gorassini, Carol J. Mottram and Teepu Siddique and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Neuroscience.

In The Last Decade

C. J. Heckman

176 papers receiving 8.1k citations

Peers

C. J. Heckman

CMN

NEURO

David J. Bennett Canada

David Burke Australia

Alan J. McComas Canada

H. Hultborn Denmark

Kerry Mills United Kingdom

Monica A. Gorassini Canada

Robert M. Brownstone Canada

Ole Kiehn Sweden

Randolph J. Nudo United States

Serge Rossignol Canada

David J. Bennett Canada

C. J. Heckman

2.5k ×0.6

2.3k ×0.7

CMN

1.7k ×0.6

998 ×0.6

NEURO

1.1k ×0.7

Citations per year, relative to C. J. Heckman C. J. Heckman (= 1×) peers David J. Bennett

Countries citing papers authored by C. J. Heckman

Since Specialization

Citations

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

Fields of papers citing papers by C. J. Heckman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. J. Heckman

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

All Works

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20 of 20 papers shown

Thompson, Seth D., et al.. (2025). Stress and stiffness as predictors of shear wave velocity in peripheral nerve. PLoS ONE. 20(3). e0319439–e0319439.

Gomes, Matheus Machado, et al.. (2024). Voluntary co‐contraction of ankle muscles alters motor unit discharge characteristics and reduces estimates of persistent inward currents. The Journal of Physiology. 602(17). 4237–4250. 7 indexed citations

McPherson, Laura Miller, et al.. (2021). Estimates of persistent inward currents are reduced in upper limb motor units of older adults. The Journal of Physiology. 599(21). 4865–4882. 49 indexed citations

Martinez‐Valdes, Eduardo, Francesco Negro, Deborah Falla, et al.. (2020). Inability to increase the neural drive to muscle is associated with task failure during submaximal contractions. Journal of Neurophysiology. 124(4). 1110–1121. 23 indexed citations

Thompson, Christopher K., Francesco Negro, Randall K. Powers, et al.. (2019). Impact of parameter selection on estimates of motoneuron excitability using paired motor unit analysis. Journal of Neural Engineering. 17(1). 16063–16063. 45 indexed citations

Thompson, Christopher K., Francesco Negro, Michael D. Johnson, et al.. (2018). Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output. The Journal of Physiology. 596(14). 2643–2659. 106 indexed citations

Ziller, Michael J., J. Alberto Ortega, Katharina A. Quinlan, et al.. (2018). Dissecting the Functional Consequences of De Novo DNA Methylation Dynamics in Human Motor Neuron Differentiation and Physiology. Cell stem cell. 22(4). 559–574.e9. 52 indexed citations

Mao, Yimin, et al.. (2017). The essential and downstream common proteins of amyotrophic lateral sclerosis: A protein-protein interaction network analysis. PLoS ONE. 12(3). e0172246–e0172246. 12 indexed citations

Johnson, Michael D., et al.. (2013). Motoneuron Intrinsic Properties, but Not Their Receptive Fields, Recover in Chronic Spinal Injury. Journal of Neuroscience. 33(48). 18806–18813. 17 indexed citations

10.

Tysseling, Vicki M., et al.. (2013). Design and evaluation of a chronic EMG multichannel detection system for long-term recordings of hindlimb muscles in behaving mice. Journal of Electromyography and Kinesiology. 23(3). 531–539. 22 indexed citations

11.

Heckman, C. J. & Roger M. Enoka. (2012). Motor Unit. Comprehensive physiology. 2(4). 2629–2682. 320 indexed citations

12.

Johnson, Michael D. & C. J. Heckman. (2010). Interactions between focused synaptic inputs and diffuse neuromodulation in the spinal cord. Annals of the New York Academy of Sciences. 1198(1). 35–41. 23 indexed citations

13.

Elbasiouny, Sherif M., Julien Amendola, J. Durand, & C. J. Heckman. (2010). Evidence from Computer Simulations for Alterations in the Membrane Biophysical Properties and Dendritic Processing of Synaptic Inputs in Mutant Superoxide Dismutase-1 Motoneurons. Journal of Neuroscience. 30(16). 5544–5558. 39 indexed citations

14.

Heckman, C. J., Allison S. Hyngstrom, & Michael D. Johnson. (2007). Active properties of motoneurone dendrites: diffuse descending neuromodulation, focused local inhibition. The Journal of Physiology. 586(5). 1225–1231. 106 indexed citations

15.

Gardiner, P. F., Yue Dai, & C. J. Heckman. (2006). Effects of exercise training on α-motoneurons. Journal of Applied Physiology. 101(4). 1228–1236. 82 indexed citations

16.

Perreault, Eric J., C. J. Heckman, & Thomas G. Sandercock. (2003). Hill muscle model errors during movement are greatest within the physiologically relevant range of motor unit firing rates. Journal of Biomechanics. 36(2). 211–218. 77 indexed citations

17.

Heckman, C. J., et al.. (1999). Chapter 4 Synaptic Integration in Bistable Motoneurons. Progress in brain research. 123. 49–56. 19 indexed citations

18.

Heckman, C. J., et al.. (1996). Motor unit recruitment patterns during reflex compensation of muscle yield investigated by computer simulations. Biological Cybernetics. 75(3). 211–217. 1 indexed citations

19.

Miller, John F., et al.. (1995). Effect of reversible dorsal cold block on the persistence of inhibition generated by spinal reflexes. Experimental Brain Research. 107(2). 205–14. 3 indexed citations

20.

Heckman, C. J., et al.. (1992). Differences between steady-state and transient post-synaptic potentials elicited by stimulation of the sural nerve. Experimental Brain Research. 91(1). 167–70. 7 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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