Alan J. McComas

11.4k citations
156 papers · 8.8k · 3 hit papers · h-index 51

Impact in

Papers in

Alan J. McComas

152 papers receiving 8.3k citations

Alan J. McComas's Hit Papers

Contractile changes in opposing muscles of the human ankle joint with aging 1986 · 432 citations
4320+18+36Years since publication100200300400500

Peers

Alan J. McComas
Comparison fields: 5 of 148
  • Orthopedics and Sports Medicine 1.8k
  • Neurology 1.0k
  • Biomedical Engineering 4.2k
  • Cellular and Molecular Neuroscience 1.7k
  • Neurology 1.2k
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Citations per year

Countries citing papers authored by Alan J. McComas

Since Specialization
Citations

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

Fields of papers citing papers by Alan J. McComas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan J. McComas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan J. McComas Line = papers co-authored together Alan J. McComas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Physiological changes in ageing muscles
Hit paper breakdown →
1973581
2
Electrophysiological estimation of the number of motor units within a human muscle
Hit paper breakdown →
1971510
3 1981483
4
Contractile changes in opposing muscles of the human ankle joint with aging
Hit paper breakdown →
1986432
5 1982284
6 1983275
7 1981238
8 2006229
9 1971213
10 1973187
11 1973169
12 1990167
13 1989156
14 1971139
15 1971137
16 1982124
17 1989119
18 1985119
19 1970117
20 1983115

About Alan J. McComas

Alan J. McComas is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Neurology, having authored 156 papers that have together received 8.8k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (78 papers), Neuroscience and Neural Engineering (27 papers), Muscle Physiology and Disorders (26 papers), Motor Control and Adaptation (19 papers), Transcranial Magnetic Stimulation Studies (17 papers), Advanced Sensor and Energy Harvesting Materials (15 papers), Neurological disorders and treatments (15 papers) and Genetic Neurodegenerative Diseases (15 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.8k citations), Neurology (1.0k citations), Biomedical Engineering (4.2k citations), Cellular and Molecular Neuroscience (1.7k citations) and Neurology (1.2k citations). Alan J. McComas has collaborated with scholars based in Canada, United Kingdom and Australia. Frequent co-authors include R. E. P. Sica, M. J. Campbell, Alain Bélanger, Anthony A. Vandervoort, A.R.M. Upton, Jonathan I. Quinlan, D. G. Sale, Frank Petito, P. Fawcett and Audrey L. Hicks. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Journal of the Neurological Sciences, Muscle & Nerve, Experimental Neurology and Journal of Applied Physiology.

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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