Matthew T.G. Pain

78 papers and 2.1k indexed citations i.

About

Matthew T.G. Pain is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Cognitive Neuroscience. According to data from OpenAlex, Matthew T.G. Pain has authored 78 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Biomedical Engineering, 47 papers in Orthopedics and Sports Medicine and 13 papers in Cognitive Neuroscience. Recurrent topics in Matthew T.G. Pain’s work include Sports Performance and Training (38 papers), Sports injuries and prevention (28 papers) and Muscle activation and electromyography studies (28 papers). Matthew T.G. Pain is often cited by papers focused on Sports Performance and Training (38 papers), Sports injuries and prevention (28 papers) and Muscle activation and electromyography studies (28 papers). Matthew T.G. Pain collaborates with scholars based in United Kingdom, United States and Canada. Matthew T.G. Pain's co-authors include Jonathan P. Folland, Neale A. Tillin, John H. Challis, Maurice R. Yeadon, Steph Forrester, Pedro Jiménez‐Reyes, Mark A. King, Angela Hibbs, Chris Mills and Michael J. Hiley and has published in prestigious journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Medicine & Science in Sports & Exercise.

In The Last Decade

Co-authorship network of co-authors of Matthew T.G. Pain i

Fields of papers citing papers by Matthew T.G. Pain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T.G. Pain. 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 Matthew T.G. Pain. The network helps show where Matthew T.G. Pain may publish in the future.

Countries citing papers authored by Matthew T.G. Pain

Since Specialization
Citations

This map shows the geographic impact of Matthew T.G. Pain'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 Matthew T.G. Pain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T.G. Pain more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025