James P. Charles

695 total citations
24 papers, 445 citations indexed

About

James P. Charles is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Molecular Biology. According to data from OpenAlex, James P. Charles has authored 24 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 11 papers in Orthopedics and Sports Medicine and 7 papers in Molecular Biology. Recurrent topics in James P. Charles's work include Muscle activation and electromyography studies (11 papers), Sports injuries and prevention (8 papers) and Muscle Physiology and Disorders (7 papers). James P. Charles is often cited by papers focused on Muscle activation and electromyography studies (11 papers), Sports injuries and prevention (8 papers) and Muscle Physiology and Disorders (7 papers). James P. Charles collaborates with scholars based in United Kingdom, United States and Netherlands. James P. Charles's co-authors include John R. Hutchinson, Ornella Cappellari, Andrew J. Spence, Dominic J. Wells, Karl T. Bates, William Anderst, Kristiaan D’Août, Silvia S. Blemker, Xiaoling Hu and Turgay Akay and has published in prestigious journals such as PLoS ONE, Current Biology and Scientific Reports.

In The Last Decade

James P. Charles

22 papers receiving 444 citations

Peers

James P. Charles

OSM

SURGE

PHYSI

Adriano Polican Ciena Brazil

Laura Smallwood United States

Taylor J. M. Dick Australia

Annette M. Gabaldón United States

Heiko Stark Germany

Ryan J. Monti United States

S. A. Rasmussen United States

Nicholas B. Holowka United States

K. Takebe Japan

Matthew J. Bellizzi United States

Adriano Polican Ciena Brazil

James P. Charles

92 ×0.5

153 ×1.2

OSM

147 ×1.2

80 ×1.3

SURGE

128 ×2.3

PHYSI

Citations per year, relative to James P. Charles James P. Charles (= 1×) peers Adriano Polican Ciena

Countries citing papers authored by James P. Charles

Since Specialization

Citations

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

Fields of papers citing papers by James P. Charles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Charles. 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 James P. Charles. The network helps show where James P. Charles may publish in the future.

Co-authorship network of co-authors of James P. Charles

This figure shows the co-authorship network connecting the top 25 collaborators of James P. Charles. A scholar is included among the top collaborators of James P. Charles 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 James P. Charles. James P. Charles 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

Charles, James P., et al.. (2025). Exploring the accuracy of palaeobiological modelling procedures in forward-dynamics simulations of maximum-effort vertical jumping. Royal Society Open Science. 12(5). 242109–242109.

Charles, James P., et al.. (2025). Gait tracking in dogs using DeepLabCut: A markerless machine learning approach for controlled settings. Applied Animal Behaviour Science. 292. 106769–106769.

Charles, James P., et al.. (2025). The biomechanics of working dog locomotion II: Loaded trotting. Journal of Experimental Biology. 228(17). 1 indexed citations

Charles, James P., et al.. (2024). Human walking biomechanics on sand substrates of varying foot sinking depth. Journal of Experimental Biology. 227(21). 3 indexed citations

Bates, Karl T., et al.. (2024). Running performance in Australopithecus afarensis. Current Biology. 35(1). 224–230.e4. 3 indexed citations

Charles, James P., et al.. (2024). The impacts of muscle-specific force-velocity properties on predictions of mouse muscle function during locomotion. Frontiers in Bioengineering and Biotechnology. 12. 1436004–1436004. 3 indexed citations

Charles, James P. & Karl T. Bates. (2023). The Functional and Anatomical Impacts of Healthy Muscle Ageing. Biology. 12(10). 1357–1357. 2 indexed citations

Charles, James P., et al.. (2023). The association between muscle architecture and muscle spindle abundance. Scientific Reports. 13(1). 2830–2830. 5 indexed citations

Charles, James P., Brendan Geraghty, James Gardiner, et al.. (2022). Why does the metabolic cost of walking increase on compliant substrates?. Journal of The Royal Society Interface. 19(196). 20220483–20220483. 9 indexed citations

10.

Charles, James P., et al.. (2022). Skeletal muscle function underpins muscle spindle abundance. Proceedings of the Royal Society B Biological Sciences. 289(1976). 20220622–20220622. 12 indexed citations

11.

Charles, James P., et al.. (2022). From fibre to function: are we accurately representing muscle architecture and performance?. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 97(4). 1640–1676. 36 indexed citations

12.

Charles, James P., et al.. (2021). Foot anatomy, walking energetics, and the evolution of human bipedalism. Journal of Human Evolution. 156. 103014–103014. 8 indexed citations

13.

McClymont, Juliet, Russell Savage, Todd C. Pataky, et al.. (2021). Intra-subject sample size effects in plantar pressure analyses. PeerJ. 9. e11660–e11660. 11 indexed citations

14.

Charles, James P., et al.. (2019). In vivo human lower limb muscle architecture dataset obtained using diffusion tensor imaging. PLoS ONE. 14(10). e0223531–e0223531. 40 indexed citations

15.

Charles, James P., Ornella Cappellari, & John R. Hutchinson. (2018). A Dynamic Simulation of Musculoskeletal Function in the Mouse Hindlimb During Trotting Locomotion. Frontiers in Bioengineering and Biotechnology. 6. 61–61. 34 indexed citations

16.

Charles, James P., Chan‐Hong Moon, & William Anderst. (2018). Determining Subject-Specific Lower-Limb Muscle Architecture Data for Musculoskeletal Models Using Diffusion Tensor Imaging. Journal of Biomechanical Engineering. 141(6). 22 indexed citations

17.

Hu, Xiaoling, James P. Charles, Turgay Akay, John R. Hutchinson, & Silvia S. Blemker. (2017). Are mice good models for human neuromuscular disease? Comparing muscle excursions in walking between mice and humans. Skeletal Muscle. 7(1). 26–26. 45 indexed citations

18.

Charles, James P., Ornella Cappellari, Andrew J. Spence, Dominic J. Wells, & John R. Hutchinson. (2016). Muscle moment arms and sensitivity analysis of a mouse hindlimb musculoskeletal model. Journal of Anatomy. 229(4). 514–535. 63 indexed citations

19.

Charles, James P., Ornella Cappellari, Andrew J. Spence, John R. Hutchinson, & Dominic J. Wells. (2016). Musculoskeletal Geometry, Muscle Architecture and Functional Specialisations of the Mouse Hindlimb. PLoS ONE. 11(4). e0147669–e0147669. 105 indexed citations

20.

Charles, James P.. (1989). The Need for Textbook Reform: An American Indian Example.. The Journal of American Indian Education. 28(3). 1–13. 4 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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