Tom Maden‐Wilkinson

2.1k total citations
55 papers, 1.5k citations indexed

About

Tom Maden‐Wilkinson is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Physiology. According to data from OpenAlex, Tom Maden‐Wilkinson has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Orthopedics and Sports Medicine, 19 papers in Biomedical Engineering and 10 papers in Physiology. Recurrent topics in Tom Maden‐Wilkinson's work include Sports Performance and Training (28 papers), Sports injuries and prevention (26 papers) and Muscle activation and electromyography studies (14 papers). Tom Maden‐Wilkinson is often cited by papers focused on Sports Performance and Training (28 papers), Sports injuries and prevention (26 papers) and Muscle activation and electromyography studies (14 papers). Tom Maden‐Wilkinson collaborates with scholars based in United Kingdom, United States and Germany. Tom Maden‐Wilkinson's co-authors include Jonathan P. Folland, Hans Degens, Thomas G. Balshaw, Jamie S. McPhee, Garry J. Massey, David A. Jones, Jörn Rittweger, Neale A. Tillin, Alex Ireland and Marco Narici and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Tom Maden‐Wilkinson

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Maden‐Wilkinson United Kingdom 24 739 466 435 190 125 55 1.5k
Helena Gapeyeva Estonia 27 762 1.0× 552 1.2× 549 1.3× 150 0.8× 119 1.0× 103 2.0k
Julián Alcázar Spain 25 477 0.6× 372 0.8× 962 2.2× 240 1.3× 96 0.8× 59 1.8k
Jody L. Clasey United States 23 588 0.8× 282 0.6× 856 2.0× 110 0.6× 128 1.0× 69 2.1k
Hugo Olmedillas Spain 21 699 0.9× 162 0.3× 507 1.2× 139 0.7× 150 1.2× 69 1.4k
R. S. Lindle United States 7 408 0.6× 392 0.8× 763 1.8× 124 0.7× 239 1.9× 8 1.6k
A. Young United Kingdom 11 444 0.6× 520 1.1× 331 0.8× 126 0.7× 183 1.5× 14 1.2k
N. A. Lynch United States 5 374 0.5× 364 0.8× 711 1.6× 120 0.6× 192 1.5× 5 1.5k
Tracey A. Roy United States 8 456 0.6× 341 0.7× 611 1.4× 107 0.6× 221 1.8× 8 1.7k
Dan Ogborn Canada 14 1.3k 1.7× 397 0.9× 398 0.9× 612 3.2× 190 1.5× 22 2.0k
Alan E. Mikesky United States 21 668 0.9× 510 1.1× 295 0.7× 290 1.5× 67 0.5× 45 1.8k

Countries citing papers authored by Tom Maden‐Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Tom Maden‐Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Maden‐Wilkinson. 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 Tom Maden‐Wilkinson. The network helps show where Tom Maden‐Wilkinson may publish in the future.

Co-authorship network of co-authors of Tom Maden‐Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Maden‐Wilkinson. A scholar is included among the top collaborators of Tom Maden‐Wilkinson 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 Tom Maden‐Wilkinson. Tom Maden‐Wilkinson 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.
Ansdell, Paul, Ruth Ashton, Calum Brown, et al.. (2025). Submaximal 2‐day cardiopulmonary exercise testing to assess exercise capacity and post‐exertional symptom exacerbation in people with long COVID. Experimental Physiology. 111(2). 435–448.
2.
Roberts, Brandon M., Colleen S. Deane, Nathaniel J. Szewczyk, et al.. (2025). Musculoskeletal responses to spaceflight: mechanisms, countermeasures, and key gaps. American Journal of Physiology-Cell Physiology. 329(6). C1985–C1993.
3.
Ashton, Ruth, Tom Bewick, Robert Copeland, et al.. (2025). Profiling the persistent and episodic nature of long COVID symptoms and the impact on quality of life and functional status: a cohort observation study. Journal of Global Health. 15. 4006–4006. 1 indexed citations
4.
Balshaw, Thomas G., et al.. (2024). Muscle and tendon morphology of a world strongman and deadlift champion. Journal of Applied Physiology. 137(4). 789–799.
5.
6.
Balshaw, Thomas G., et al.. (2022). The effect of specific bioactive collagen peptides on function and muscle remodeling during human resistance training. Acta Physiologica. 237(2). e13903–e13903. 15 indexed citations
7.
Maden‐Wilkinson, Tom, et al.. (2022). Comparative Perceptual, Affective, and Cardiovascular Responses between Resistance Exercise with and without Blood Flow Restriction in Older Adults. International Journal of Environmental Research and Public Health. 19(23). 16000–16000. 7 indexed citations
8.
Faghy, Mark A., et al.. (2022). COVID-19 patients require multi-disciplinary rehabilitation approaches to address persisting symptom profiles and restore pre-COVID quality of life. Expert Review of Respiratory Medicine. 16(5). 595–600. 23 indexed citations
9.
Ruddock, Alan, et al.. (2022). “I Want to Create So Much Stimulus That Adaptation Goes Through the Roof”: High-Performance Strength Coaches' Perceptions of Planned Overreaching. Frontiers in Sports and Active Living. 4. 893581–893581. 4 indexed citations
10.
Balshaw, Thomas G., et al.. (2022). Fast and ballistic contractions involve greater neuromuscular power production in older adults during resistance exercise. European Journal of Applied Physiology. 122(7). 1639–1655. 13 indexed citations
11.
Fowler‐Davis, Sally, et al.. (2021). Assessing the Acceptability of a Co-Produced Long COVID Intervention in an Underserved Community in the UK. International Journal of Environmental Research and Public Health. 18(24). 13191–13191. 11 indexed citations
12.
Škarabot, Jakob, Thomas G. Balshaw, Sumiaki Maeo, et al.. (2021). Neural adaptations to long-term resistance training: evidence for the confounding effect of muscle size on the interpretation of surface electromyography. Journal of Applied Physiology. 131(2). 702–715. 25 indexed citations
13.
Heller, Ben, et al.. (2021). Agreement between methods and terminology used to assess the kinematics of the Nordic hamstring exercise. Journal of Sports Sciences. 39(24). 2859–2868. 1 indexed citations
14.
Faghy, Mark A., et al.. (2020). A flow resistive inspiratory muscle training mask worn during high-intensity interval training does not improve 5 km running time-trial performance. European Journal of Applied Physiology. 121(1). 183–191. 3 indexed citations
15.
Ruddock, Alan, et al.. (2020). Overreaching and overtraining in strength sports and resistance training: A scoping review. Journal of Sports Sciences. 38(16). 1897–1912. 30 indexed citations
16.
Maden‐Wilkinson, Tom, Thomas G. Balshaw, Garry J. Massey, & Jonathan P. Folland. (2019). What makes long-term resistance-trained individuals so strong? A comparison of skeletal muscle morphology, architecture, and joint mechanics. Journal of Applied Physiology. 128(4). 1000–1011. 57 indexed citations
17.
Behan, Fearghal P., et al.. (2018). Sex differences in muscle morphology of the knee flexors and knee extensors. PLoS ONE. 13(1). e0190903–e0190903. 41 indexed citations
18.
Balshaw, Thomas G., et al.. (2017). Changes in agonist neural drive, hypertrophy and pre-training strength all contribute to the individual strength gains after resistance training. European Journal of Applied Physiology. 117(4). 631–640. 74 indexed citations
19.
Ireland, Alex, Hans Degens, Bergita Ganse, et al.. (2015). Greater tibial bone strength in male tennis players than controls in the absence of greater muscle output. Journal of Orthopaedic Translation. 3(3). 142–151. 9 indexed citations
20.
Degens, Hans, Tom Maden‐Wilkinson, Alex Ireland, et al.. (2013). Relationship between ventilatory function and age in masterathletes and a sedentary reference population. elib (German Aerospace Center). 42 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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