Steven T. McCaw

79 total papers · 1.9k total citations
41 papers, 1.4k citations indexed

About

Steven T. McCaw is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Complementary and alternative medicine. According to data from OpenAlex, Steven T. McCaw has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Orthopedics and Sports Medicine, 25 papers in Biomedical Engineering and 7 papers in Complementary and alternative medicine. Recurrent topics in Steven T. McCaw's work include Lower Extremity Biomechanics and Pathologies (15 papers), Sports injuries and prevention (13 papers) and Sports Performance and Training (11 papers). Steven T. McCaw is often cited by papers focused on Lower Extremity Biomechanics and Pathologies (15 papers), Sports injuries and prevention (13 papers) and Sports Performance and Training (11 papers). Steven T. McCaw collaborates with scholars based in United States and Italy. Steven T. McCaw's co-authors include B. T. Bates, Paul DeVita, Jeff G. Seegmiller, Kristen M. Lagally, Angelo Cacchio, John M. Jakicic, Bret H. Goodpaster, Todd D. Royer, Kara I. Gallagher and Fredric L. Goss and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Journal of Biomechanics and Sports Medicine.

In The Last Decade

Steven T. McCaw

40 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Steven T. McCaw 1.0k 784 411 173 103 41 1.4k
Guillermo J. Noffal 978 0.9× 571 0.7× 406 1.0× 78 0.5× 122 1.2× 40 1.4k
Robert P. Wilder 939 0.9× 746 1.0× 288 0.7× 153 0.9× 117 1.1× 41 1.4k
Shala E. Davis 913 0.9× 642 0.8× 181 0.4× 264 1.5× 88 0.9× 55 1.8k
Jaan Ereline 720 0.7× 513 0.7× 269 0.7× 127 0.7× 105 1.0× 87 1.3k
Masae Miyatani 680 0.7× 595 0.8× 280 0.7× 103 0.6× 78 0.8× 39 1.8k
Masamitsu Ito 937 0.9× 869 1.1× 227 0.6× 83 0.5× 63 0.6× 31 1.5k
Kim Hébert‐Losier 1.2k 1.2× 747 1.0× 278 0.7× 83 0.5× 132 1.3× 118 1.6k
Ansgar Schwirtz 662 0.6× 659 0.8× 310 0.8× 72 0.4× 84 0.8× 72 1.4k
Christopher A. Knight 698 0.7× 841 1.1× 167 0.4× 121 0.7× 189 1.8× 51 1.5k
Jonathan I. Quinlan 739 0.7× 853 1.1× 127 0.3× 143 0.8× 57 0.6× 33 1.5k

Countries citing papers authored by Steven T. McCaw

Since Specialization
Citations

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

Fields of papers citing papers by Steven T. McCaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven T. McCaw. 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 Steven T. McCaw. The network helps show where Steven T. McCaw may publish in the future.

Co-authorship network of co-authors of Steven T. McCaw

This figure shows the co-authorship network connecting the top 25 collaborators of Steven T. McCaw. A scholar is included among the top collaborators of Steven T. McCaw 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 Steven T. McCaw. Steven T. McCaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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