Mathew Piasecki

3.2k total citations · 1 hit paper
58 papers, 2.3k citations indexed

About

Mathew Piasecki is a scholar working on Biomedical Engineering, Physiology and Molecular Biology. According to data from OpenAlex, Mathew Piasecki has authored 58 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 21 papers in Physiology and 17 papers in Molecular Biology. Recurrent topics in Mathew Piasecki's work include Muscle activation and electromyography studies (28 papers), Muscle Physiology and Disorders (16 papers) and Cerebral Palsy and Movement Disorders (12 papers). Mathew Piasecki is often cited by papers focused on Muscle activation and electromyography studies (28 papers), Muscle Physiology and Disorders (16 papers) and Cerebral Palsy and Movement Disorders (12 papers). Mathew Piasecki collaborates with scholars based in United Kingdom, Canada and Lithuania. Mathew Piasecki's co-authors include Philip J. Atherton, Daniel J. Wilkinson, Jamie S. McPhee, Alex Ireland, David A. Jones, Daniel W. Stashuk, Bethan E. Phillips, Jessica Piasecki, Hans Degens and Agnieszka Święcicka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mathew Piasecki

55 papers receiving 2.3k citations

Hit Papers

The age-related loss of skeletal muscle mass and function... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathew Piasecki United Kingdom 24 1.2k 627 598 366 324 58 2.3k
William K. Mitchell United Kingdom 17 1.3k 1.1× 657 1.0× 294 0.5× 928 2.5× 612 1.9× 23 2.4k
Matthew A. Schrager United States 15 691 0.6× 183 0.3× 257 0.4× 212 0.6× 457 1.4× 19 1.8k
Karen M. Birch United Kingdom 28 531 0.4× 219 0.3× 555 0.9× 165 0.5× 804 2.5× 71 2.5k
Stuart Bruce United Kingdom 14 456 0.4× 268 0.4× 312 0.5× 184 0.5× 544 1.7× 32 1.5k
Martin W. Thompson Australia 31 1.5k 1.3× 336 0.5× 506 0.8× 603 1.6× 1.1k 3.3× 65 3.2k
F. M. Ivey United States 16 687 0.6× 294 0.5× 252 0.4× 309 0.8× 452 1.4× 22 1.8k
Léonard Féasson France 30 742 0.6× 566 0.9× 556 0.9× 393 1.1× 842 2.6× 119 2.7k
Helena Gapeyeva Estonia 27 549 0.5× 119 0.2× 552 0.9× 85 0.2× 762 2.4× 103 2.0k
Taku Hamada Japan 25 535 0.5× 346 0.6× 612 1.0× 165 0.5× 607 1.9× 53 1.9k
Alain Steve Comtois Canada 28 553 0.5× 521 0.8× 296 0.5× 211 0.6× 426 1.3× 128 2.4k

Countries citing papers authored by Mathew Piasecki

Since Specialization
Citations

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

Fields of papers citing papers by Mathew Piasecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew Piasecki. 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 Mathew Piasecki. The network helps show where Mathew Piasecki may publish in the future.

Co-authorship network of co-authors of Mathew Piasecki

This figure shows the co-authorship network connecting the top 25 collaborators of Mathew Piasecki. A scholar is included among the top collaborators of Mathew Piasecki 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 Mathew Piasecki. Mathew Piasecki 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.
Atherton, Philip J., et al.. (2025). Theta-gamma transcranial alternating current stimulation enhances ballistic motor performance in healthy young and older adults. Neurobiology of Aging. 152. 1–12. 1 indexed citations
3.
Phillips, Bethan E., et al.. (2025). Bilateral neuromuscular adaptation to acute unilateral resistance exercise in healthy older adults. GeroScience. 47(6). 6851–6867.
5.
Piasecki, Mathew, et al.. (2024). Skeletal muscle dysfunction with advancing age. Clinical Science. 138(14). 863–882. 15 indexed citations
6.
Mallinson, Joanne, Tricia M. McKeever, Christopher R. Bradley, et al.. (2024). DYNamic Assessment of Multi‐Organ level dysfunction in patients recovering from COVID‐19: DYNAMO COVID‐19. Experimental Physiology. 109(8). 1274–1291. 5 indexed citations
7.
Stashuk, Daniel W., et al.. (2024). Sex disparities of human neuromuscular decline in older humans. The Journal of Physiology. 603(1). 151–165. 12 indexed citations
8.
Phillips, Bethan E., Kenneth Smith, Daniel J. Wilkinson, et al.. (2023). A focus on leucine in the nutritional regulation of human skeletal muscle metabolism in ageing, exercise and unloading states. Clinical Nutrition. 42(10). 1849–1865. 26 indexed citations
9.
Robinson, Katie, Dominic O’Connor, Mathew Piasecki, et al.. (2023). The effects of neuromuscular electrical stimulation on hospitalised adults: systematic review and meta-analysis of randomised controlled trials. Age and Ageing. 52(12). 4 indexed citations
10.
Atherton, Philip J., et al.. (2023). Contrast‐enhanced ultrasound repeatability for the measurement of skeletal muscle microvascular blood flow. Experimental Physiology. 108(4). 549–553. 2 indexed citations
11.
Bass, Joseph J., Daniel J. Wilkinson, Daniel W. Stashuk, et al.. (2022). Motor unit dysregulation following 15 days of unilateral lower limb immobilisation. The Journal of Physiology. 600(21). 4753–4769. 31 indexed citations
12.
Chiou, Shin‐Yi, et al.. (2022). Ageing and exercise‐induced motor unit remodelling. The Journal of Physiology. 600(8). 1839–1849. 32 indexed citations
13.
Miller, Sarah, et al.. (2022). Training‐induced improvements in knee extensor force accuracy are associated with reduced vastus lateralis motor unit firing variability. Experimental Physiology. 107(9). 1061–1070. 7 indexed citations
14.
Lewis, Jonathan, Roberta Torregrossa, Mathew Piasecki, et al.. (2022). Sulfur amino acid supplementation displays therapeutic potential in a C. elegans model of Duchenne muscular dystrophy. Communications Biology. 5(1). 1255–1255. 14 indexed citations
15.
Hewitt, Jennifer, Roberta Torregrossa, Ashleigh M. Philp, et al.. (2021). Mitochondrial hydrogen sulfide supplementation improves health in the C. elegans Duchenne muscular dystrophy model. Proceedings of the National Academy of Sciences. 118(9). 33 indexed citations
16.
McCormick, Daniel, et al.. (2021). Factors associated with electrical stimulation‐induced performance fatigability are dependent upon stimulation location. Experimental Physiology. 106(4). 828–836. 11 indexed citations
17.
Piasecki, Mathew, et al.. (2021). Near-fiber electromyography. Clinical Neurophysiology. 132(5). 1089–1104. 26 indexed citations
18.
Piasecki, Jessica, Joseph J. Bass, Daniel W. Stashuk, et al.. (2020). Influence of sex on the age‐related adaptations of neuromuscular function and motor unit properties in elite masters athletes. The Journal of Physiology. 599(1). 193–205. 29 indexed citations
19.
Święcicka, Agnieszka, Mathew Piasecki, Daniel W. Stashuk, et al.. (2020). Relationship of Anabolic Hormones With Motor Unit Characteristics in Quadriceps Muscle in Healthy and Frail Aging Men. The Journal of Clinical Endocrinology & Metabolism. 105(7). e2358–e2368. 9 indexed citations
20.
Wilkinson, Daniel J., Mathew Piasecki, & Philip J. Atherton. (2018). The age-related loss of skeletal muscle mass and function: Measurement and physiology of muscle fibre atrophy and muscle fibre loss in humans. Ageing Research Reviews. 47. 123–132. 540 indexed citations breakdown →

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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