Jonathan Low

1.0k total citations · 1 hit paper
9 papers, 592 citations indexed

About

Jonathan Low is a scholar working on Physiology, Orthopedics and Sports Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jonathan Low has authored 9 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Orthopedics and Sports Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jonathan Low's work include Sports injuries and prevention (4 papers), Sports Performance and Training (3 papers) and Muscle activation and electromyography studies (3 papers). Jonathan Low is often cited by papers focused on Sports injuries and prevention (4 papers), Sports Performance and Training (3 papers) and Muscle activation and electromyography studies (3 papers). Jonathan Low collaborates with scholars based in Canada, United States and Australia. Jonathan Low's co-authors include Daniel Fuller, Nathan Taylor, Kimberley Cullen, Richard Buote, Hui Luan, David G. Behm, Daniel D. Hodgson, Camila D. Lima, Urs Granacher and James D. Young and has published in prestigious journals such as Chemical Engineering Journal, Journal of Applied Physiology and Nature Reviews Endocrinology.

In The Last Decade

Jonathan Low

8 papers receiving 573 citations

Hit Papers

Reliability and Validity of Commercially Available Wearab... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Low Canada 5 199 139 123 87 82 9 592
David K. Spierer United States 13 149 0.7× 160 1.2× 208 1.7× 97 1.1× 141 1.7× 18 740
Courtney L. Pollock Canada 10 117 0.6× 153 1.1× 141 1.1× 87 1.0× 46 0.6× 41 602
Tryntsje Fokkema Netherlands 11 251 1.3× 174 1.3× 105 0.9× 37 0.4× 44 0.5× 21 472
Carlos Pablos Abella Spain 14 251 1.3× 99 0.7× 110 0.9× 87 1.0× 56 0.7× 68 562
Isaac Selva Raj Australia 11 161 0.8× 139 1.0× 229 1.9× 53 0.6× 85 1.0× 25 614
Juan Á. Párraga Montilla Spain 16 278 1.4× 176 1.3× 136 1.1× 78 0.9× 108 1.3× 93 681
Elizabeth F. Nagle United States 15 246 1.2× 64 0.5× 254 2.1× 61 0.7× 193 2.4× 72 711
Katie Sell United States 13 220 1.1× 56 0.4× 201 1.6× 39 0.4× 119 1.5× 41 617
José Morales Spain 17 238 1.2× 99 0.7× 54 0.4× 38 0.4× 101 1.2× 41 655
Raymond So Hong Kong 17 297 1.5× 195 1.4× 85 0.7× 46 0.5× 126 1.5× 33 688

Countries citing papers authored by Jonathan Low

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Low. 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 Jonathan Low. The network helps show where Jonathan Low may publish in the future.

Co-authorship network of co-authors of Jonathan Low

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

All Works

9 of 9 papers shown
1.
Kazemian, Negin, Janet Irungu, Geoff B. Coombs, et al.. (2025). Linking gut, heart and metabolic health through cholesterol conversion by Akkermansia muciniphila. Chemical Engineering Journal. 522. 167391–167391.
3.
Low, Jonathan, Hashim Islam, Kaja Falkenhain, et al.. (2024). An acute bout of 4 × 4-min or 10 × 1-min HIIT improves β cell glucose sensitivity in postmenopausal females with type 2 diabetes: a secondary analysis. Journal of Applied Physiology. 138(1). 311–317. 1 indexed citations
4.
Low, Jonathan & Kaja Falkenhain. (2023). The metabolic mythos of ketones. Nature Reviews Endocrinology. 20(2). 66–66. 1 indexed citations
5.
Fuller, Daniel, Jonathan Low, Richard Buote, et al.. (2020). Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review. JMIR mhealth and uhealth. 8(9). e18694–e18694. 375 indexed citations breakdown →
6.
Low, Jonathan, Hamid Ahmadi, Liam Kelly, et al.. (2019). Prior Band-Resisted Squat Jumps Improves Running and Neuromuscular Performance in Middle-Distance Runners.. PubMed. 18(2). 301–315. 13 indexed citations
7.
Lima, Camila D., et al.. (2018). Superior Training-Specific Adaptations With an 8-Week Yoak Push-up Training Program. The Journal of Strength and Conditioning Research. 32(9). 2409–2418. 4 indexed citations
8.
Hodgson, Daniel D., Camila D. Lima, Jonathan Low, & David G. Behm. (2018). FOUR WEEKS OF ROLLER MASSAGE TRAINING DID NOT IMPACT RANGE OF MOTION, PAIN PRESSURE THRESHOLD, VOLUNTARY CONTRACTILE PROPERTIES OR JUMP PERFORMANCE. International Journal of Sports Physical Therapy. 13(5). 835–845. 26 indexed citations
9.
Behm, David G., James D. Young, Joseph Whitten, et al.. (2017). Effectiveness of Traditional Strength vs. Power Training on Muscle Strength, Power and Speed with Youth: A Systematic Review and Meta-Analysis. Frontiers in Physiology. 8. 423–423. 170 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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