Marcus J. Colby

556 total citations
7 papers, 438 citations indexed

About

Marcus J. Colby is a scholar working on Orthopedics and Sports Medicine, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marcus J. Colby has authored 7 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Orthopedics and Sports Medicine, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marcus J. Colby's work include Sports Performance and Training (7 papers), Sports injuries and prevention (7 papers) and Injury Epidemiology and Prevention (3 papers). Marcus J. Colby is often cited by papers focused on Sports Performance and Training (7 papers), Sports injuries and prevention (7 papers) and Injury Epidemiology and Prevention (3 papers). Marcus J. Colby collaborates with scholars based in Australia and France. Marcus J. Colby's co-authors include Jarryd Heasman, Brent Rogalski, Brian Dawson, Tim J. Gabbett, Peter Peeling, Michael K. Drew, Leanne Lester, Grégory Dupont, Hassane Zouhal and Michael Rosenberg and has published in prestigious journals such as The Journal of Strength and Conditioning Research, Journal of science and medicine in sport and International Journal of Sports Physiology and Performance.

In The Last Decade

Marcus J. Colby

7 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcus J. Colby Australia	6	423	92	89	59	49	7	438
Mo Gimpel United Kingdom	6	534 1.3×	174 1.9×	87 1.0×	50 0.8×	42 0.9×	12	606
Justin Crow Australia	10	374 0.9×	80 0.9×	62 0.7×	43 0.7×	24 0.5×	16	451
Eirik Halvorsen Wik Qatar	9	319 0.8×	119 1.3×	94 1.1×	17 0.3×	36 0.7×	15	338
Robert McCunn Germany	10	296 0.7×	76 0.8×	49 0.6×	15 0.3×	68 1.4×	18	350
Adam Owen France	11	695 1.6×	154 1.7×	92 1.0×	54 0.9×	133 2.7×	15	725
Lennert Goossens Belgium	9	253 0.6×	52 0.6×	82 0.9×	31 0.5×	51 1.0×	14	311
Christopher M. Jones United Kingdom	4	236 0.6×	39 0.4×	33 0.4×	42 0.7×	41 0.8×	7	302
Lindsay Starling South Africa	11	388 0.9×	114 1.2×	159 1.8×	15 0.3×	44 0.9×	45	464
Toby Edwards Australia	7	323 0.8×	56 0.6×	78 0.9×	14 0.2×	47 1.0×	17	373
Saulo Delfino Barboza Netherlands	11	298 0.7×	82 0.9×	124 1.4×	13 0.2×	51 1.0×	17	460

Countries citing papers authored by Marcus J. Colby

Since Specialization

Citations

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

Fields of papers citing papers by Marcus J. Colby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcus J. Colby. 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 Marcus J. Colby. The network helps show where Marcus J. Colby may publish in the future.

Co-authorship network of co-authors of Marcus J. Colby

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

All Works

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7 of 7 papers shown

Dawson, Brian, Peter Peeling, Michael K. Drew, et al.. (2018). How much is enough in rehabilitation? High running workloads following lower limb muscle injury delay return to play but protect against subsequent injury. Journal of science and medicine in sport. 21(10). 1019–1024. 29 indexed citations

Colby, Marcus J., Brian Dawson, Peter Peeling, et al.. (2018). Improvement of Prediction of Noncontact Injury in Elite Australian Footballers With Repeated Exposure to Established High-Risk Workload Scenarios. International Journal of Sports Physiology and Performance. 13(9). 1130–1135. 48 indexed citations

Colby, Marcus J.. (2018). A multifactorial approach to injury risk in elite Australian footballers. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations

Dawson, Brian, Peter Peeling, Jarryd Heasman, et al.. (2017). Identifying high risk loading conditions for in-season injury in elite Australian football players. Journal of science and medicine in sport. 21(1). 46–51. 60 indexed citations

Colby, Marcus J., Peter Peeling, Jarryd Heasman, et al.. (2017). Multivariate modelling of subjective and objective monitoring data improve the detection of non-contact injury risk in elite Australian footballers. Journal of science and medicine in sport. 20(12). 1068–1074. 63 indexed citations

Colby, Marcus J., Brian Dawson, Jarryd Heasman, et al.. (2016). Preseason Workload Volume and High-Risk Periods for Noncontact Injury Across Multiple Australian Football League Seasons. The Journal of Strength and Conditioning Research. 31(7). 1821–1829. 33 indexed citations

Colby, Marcus J., Brian Dawson, Jarryd Heasman, Brent Rogalski, & Tim J. Gabbett. (2014). Accelerometer and GPS-Derived Running Loads and Injury Risk in Elite Australian Footballers. The Journal of Strength and Conditioning Research. 28(8). 2244–2252. 204 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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