K. Ming Chan

5.1k total citations
114 papers, 3.6k citations indexed

About

K. Ming Chan is a scholar working on Surgery, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, K. Ming Chan has authored 114 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Surgery, 44 papers in Cellular and Molecular Neuroscience and 36 papers in Biomedical Engineering. Recurrent topics in K. Ming Chan's work include Nerve Injury and Rehabilitation (42 papers), Muscle activation and electromyography studies (33 papers) and Nerve injury and regeneration (29 papers). K. Ming Chan is often cited by papers focused on Nerve Injury and Rehabilitation (42 papers), Muscle activation and electromyography studies (33 papers) and Nerve injury and regeneration (29 papers). K. Ming Chan collaborates with scholars based in Canada, United States and United Kingdom. K. Ming Chan's co-authors include Tessa Gordon, Nasim Amirjani, Jaret L. Olson, Michael Morhart, Gregory H. Borschel, David C. Edwards, Thomas M. Brushart, Hollie A. Power, Kevin J. Zuo and Christine A. Webber and has published in prestigious journals such as The Journal of Physiology, Annals of Neurology and Journal of Neurophysiology.

In The Last Decade

K. Ming Chan

110 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Ming Chan Canada 36 1.6k 1.2k 1.1k 465 420 114 3.6k
Christian Krarup Denmark 35 2.1k 1.3× 1.0k 0.9× 661 0.6× 224 0.5× 572 1.4× 137 4.0k
Oskar C. Aszmann Austria 39 2.1k 1.3× 1.6k 1.4× 3.0k 2.6× 1.6k 3.4× 194 0.5× 177 5.8k
Winfried Mayr Austria 38 852 0.5× 1.0k 0.9× 1.9k 1.7× 284 0.6× 797 1.9× 168 4.3k
Dolores Ceballos Spain 20 1.5k 0.9× 658 0.6× 446 0.4× 230 0.5× 312 0.7× 24 2.5k
Christine K. Thomas United States 36 892 0.6× 495 0.4× 1.7k 1.5× 677 1.5× 415 1.0× 93 3.2k
Machiel J. Zwarts Netherlands 48 1.6k 1.0× 748 0.6× 2.9k 2.6× 1.1k 2.3× 1.2k 2.9× 166 8.1k
Meigen Liu Japan 39 904 0.6× 407 0.3× 1.1k 1.0× 1.8k 3.9× 210 0.5× 189 4.7k
Martijn J. A. Malessy Netherlands 38 1.6k 1.0× 2.7k 2.3× 386 0.3× 79 0.2× 313 0.7× 141 4.2k
Nancy N. Byl United States 43 499 0.3× 605 0.5× 844 0.7× 993 2.1× 107 0.3× 96 5.0k
Helge Topka Germany 35 1.0k 0.6× 335 0.3× 841 0.7× 1.8k 3.8× 334 0.8× 94 4.8k

Countries citing papers authored by K. Ming Chan

Since Specialization
Citations

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

Fields of papers citing papers by K. Ming Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Ming Chan. 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 K. Ming Chan. The network helps show where K. Ming Chan may publish in the future.

Co-authorship network of co-authors of K. Ming Chan

This figure shows the co-authorship network connecting the top 25 collaborators of K. Ming Chan. A scholar is included among the top collaborators of K. Ming Chan 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 K. Ming Chan. K. Ming Chan 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
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Morhart, Michael, Jaret L. Olson, Ross T. Tsuyuki, et al.. (2023). Barriers to Surgical Intervention and Factors Influencing Motor Outcomes in Patients with Severe Peripheral Nerve Injury: A Province Wide Cohort Study. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(5). 627–635. 1 indexed citations
4.
Jack, Andrew, Christopher D. Witiw, Jaret L. Olson, et al.. (2023). Characterization of Spinal Cord Injury Patients for Arm Functional Restoration through Nerve Transfer. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(4). 477–481.
5.
Daeschler, Simeon C., Alex W. H. Chin, K. Ming Chan, et al.. (2020). Effect of moist heat reprocessing of N95 respirators on SARS-CoV-2 inactivation and respirator function. Canadian Medical Association Journal. 192(41). E1189–E1197. 47 indexed citations
6.
Zuo, Kevin J., Tessa Gordon, K. Ming Chan, & Gregory H. Borschel. (2020). Electrical stimulation to enhance peripheral nerve regeneration: Update in molecular investigations and clinical translation. Experimental Neurology. 332. 113397–113397. 119 indexed citations
7.
Zuo, Kevin J., et al.. (2019). A single session of brief electrical stimulation enhances axon regeneration through nerve autografts. Experimental Neurology. 323. 113074–113074. 44 indexed citations
8.
Elzinga, Kate, et al.. (2016). Open Anterior Release of the Superior Transverse Scapular Ligament for Decompression of the Suprascapular Nerve During Brachial Plexus Surgery. The Journal Of Hand Surgery. 41(7). e211–e215. 10 indexed citations
9.
Barber, Brittany, Margaret L. McNeely, K. Ming Chan, et al.. (2015). Intraoperative brief electrical stimulation (BES) for prevention of shoulder dysfunction after oncologic neck dissection: study protocol for a randomized controlled trial. Trials. 16(1). 240–240. 11 indexed citations
10.
Dawson, Michael R., Jacqueline S. Hebert, Craig Sherstan, et al.. (2015). Application of real-time machine learning to myoelectric prosthesis control. Prosthetics and Orthotics International. 40(5). 573–581. 45 indexed citations
11.
Chan, K. Ming, et al.. (2008). Motor Unit Number Estimation in Neuromuscular Disease. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 35(2). 153–159. 21 indexed citations
12.
Gordon, Tessa, Thomas M. Brushart, & K. Ming Chan. (2008). Augmenting nerve regeneration with electrical stimulation. Neurological Research. 30(10). 1012–1022. 93 indexed citations
13.
Norton, Jonathan, Aiko K. Thompson, K. Ming Chan, Alan H. Wilman, & Richard B. Stein. (2007). Persistent mirror movements for over sixty years: The underlying mechanisms in a cerebral palsy patient. Clinical Neurophysiology. 119(1). 80–87. 11 indexed citations
14.
Gan, Liu Shi, et al.. (2007). A New Means of Transcutaneous Coupling for Neural Prostheses. IEEE Transactions on Biomedical Engineering. 54(3). 509–517. 16 indexed citations
15.
Ellaway, P H, A. Procházka, K. Ming Chan, & Michel Gauthier. (2004). The sense of movement elicited by transcranial magnetic stimulation in humans is due to sensory feedback. The Journal of Physiology. 556(2). 651–660. 27 indexed citations
16.
Strohschein, Fay J., et al.. (2003). Applicability, Validity, and Reliability of the Piper Fatigue Scale in Postpolio Patients. American Journal of Physical Medicine & Rehabilitation. 82(2). 122–129. 26 indexed citations
17.
Kido, Aiko, et al.. (2003). Electrical stimulation of the human common peroneal nerve elicits lasting facilitation of cortical motor-evoked potentials. Experimental Brain Research. 153(3). 366–377. 107 indexed citations
18.
Brown, William F. & K. Ming Chan. (1997). Quantitative methods for estimating the number of motor units in human muscles. Muscle & Nerve. 20(S5). 70–73. 4 indexed citations
19.
Yip, Ka Man, L.K. Hung, Nicola Maffulli, & K. Ming Chan. (1996). Brachial plexus injury in association with fracture-dislocation of the shoulder.. PubMed. 55(2). 92–4. 8 indexed citations
20.
Doherty, Timothy J., Zachary Simmons, Kevin J. Felice, et al.. (1995). Methods for Estimating the Numbers of Motor Units in Human Muscles. Journal of Clinical Neurophysiology. 12(6). 565–584. 69 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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