Lawrence Labrecque

929 total citations
31 papers, 630 citations indexed

About

Lawrence Labrecque is a scholar working on Neurology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lawrence Labrecque has authored 31 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 16 papers in Cardiology and Cardiovascular Medicine and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lawrence Labrecque's work include Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Optical Imaging and Spectroscopy Techniques (14 papers) and Heart Rate Variability and Autonomic Control (10 papers). Lawrence Labrecque is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (22 papers), Optical Imaging and Spectroscopy Techniques (14 papers) and Heart Rate Variability and Autonomic Control (10 papers). Lawrence Labrecque collaborates with scholars based in Canada, United Kingdom and United States. Lawrence Labrecque's co-authors include Patrice Brassard, Jonathan D. Smirl, Sarah Imhoff, Olivier Blanc, Myriam Paquette, Samuel J. E. Lucas, Simon Malenfant, Damian M. Bailey, Joel S. Burma and Philip N. Ainslie and has published in prestigious journals such as The FASEB Journal, Journal of Applied Physiology and Sports Medicine.

In The Last Decade

Lawrence Labrecque

29 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Labrecque Canada 15 394 283 251 135 88 31 630
Jasper Verbree Netherlands 7 245 0.6× 228 0.8× 170 0.7× 54 0.4× 86 1.0× 9 431
René W. M. M. Jansen Netherlands 8 250 0.6× 270 1.0× 161 0.6× 82 0.6× 166 1.9× 15 576
Myriam Paquette Canada 12 205 0.5× 197 0.7× 126 0.5× 72 0.5× 63 0.7× 14 439
Anne-Sophie G. T. Bronzwaer Netherlands 9 193 0.5× 214 0.8× 124 0.5× 53 0.4× 102 1.2× 9 374
Amanda Perrotta Canada 3 216 0.5× 175 0.6× 123 0.5× 44 0.3× 63 0.7× 4 359
Wendy L. Eubank United States 9 241 0.6× 312 1.1× 153 0.6× 42 0.3× 122 1.4× 11 529
Dieter Linden Germany 8 442 1.1× 210 0.7× 288 1.1× 83 0.6× 130 1.5× 13 624
Yu-Sok Kim Netherlands 14 146 0.4× 418 1.5× 111 0.4× 86 0.6× 285 3.2× 18 711
Sarah Imhoff Canada 9 177 0.4× 137 0.5× 105 0.4× 112 0.8× 41 0.5× 16 327
Angela S. M. Salinet United Kingdom 20 575 1.5× 184 0.7× 296 1.2× 262 1.9× 116 1.3× 38 818

Countries citing papers authored by Lawrence Labrecque

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Labrecque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Labrecque

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

All Works

20 of 20 papers shown
1.
Brothers, R. Matthew, Lawrence Labrecque, Daniel Gagnon, et al.. (2025). Directional sensitivity analysis of the cerebral pressure-flow relationship during normothermia and moderate hyperthermia. Journal of Applied Physiology. 138(4). 1079–1087. 1 indexed citations
2.
Smirl, Jonathan D., Lawrence Labrecque, François Billaut, et al.. (2025). Cerebral pressure-flow relationship directional sensitivity in healthy lowlanders and natives at high altitude. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 329(5). R727–R741.
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Kostoglou, Kyriaki, Patrice Brassard, Máx Chacón, et al.. (2024). Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet). Journal of Cerebral Blood Flow & Metabolism. 44(9). 1480–1514. 15 indexed citations
5.
Brassard, Patrice, et al.. (2024). On the challenge of assessing dynamic cerebral autoregulation. Experimental Physiology. 109(7). 1020–1023. 3 indexed citations
6.
Burma, Joel S., et al.. (2024). A systematic review, meta-analysis and meta-regression amalgamating the driven approaches used to quantify dynamic cerebral autoregulation. Journal of Cerebral Blood Flow & Metabolism. 44(8). 1271–1297. 5 indexed citations
7.
Brassard, Patrice, et al.. (2023). Quantification of dynamic cerebral autoregulation: welcome to the jungle!. Clinical Autonomic Research. 33(6). 791–810. 25 indexed citations
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10.
Labrecque, Lawrence, et al.. (2023). Impact of sex on the cerebrovascular response to incremental aerobic exercise in moderately trained endurance athletes. Journal of Applied Physiology. 134(6). 1470–1480. 2 indexed citations
11.
Labrecque, Lawrence, et al.. (2023). Cerebral blood flow pulsatility and cerebral artery stiffness acutely decrease during hemodialysis. Physiological Reports. 11(4). e15595–e15595. 1 indexed citations
12.
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Labrecque, Lawrence, Jonathan D. Smirl, Yu‐Chieh Tzeng, & Patrice Brassard. (2022). Point/counterpoint: We should take the direction of blood pressure change into consideration for dynamic cerebral autoregulation quantification. Journal of Cerebral Blood Flow & Metabolism. 42(12). 2351–2353. 13 indexed citations
14.
Labrecque, Lawrence, Jonathan D. Smirl, & Patrice Brassard. (2021). Utilization of the repeated squat-stand model for studying the directional sensitivity of the cerebral pressure-flow relationship. Journal of Applied Physiology. 131(3). 927–936. 27 indexed citations
15.
Burma, Joel S., et al.. (2021). What recording duration is required to provide physiologically valid and reliable dynamic cerebral autoregulation transfer functional analysis estimates?. Physiological Measurement. 42(4). 44002–44002. 18 indexed citations
16.
Labrecque, Lawrence, et al.. (2021). Reproducibility and diurnal variation of the directional sensitivity of the cerebral pressure-flow relationship in men and women. Journal of Applied Physiology. 132(1). 154–166. 27 indexed citations
17.
Mahjoub, Haïfa, Olivier Blanc, Myriam Paquette, et al.. (2019). Cardiac remodeling after six weeks of high-intensity interval training to exhaustion in endurance-trained men. American Journal of Physiology-Heart and Circulatory Physiology. 317(4). H685–H694. 19 indexed citations
18.
Perry, Blake G., James D. Cotter, Sally Lark, et al.. (2019). Implications of habitual endurance and resistance exercise for dynamic cerebral autoregulation. Experimental Physiology. 104(12). 1780–1789. 21 indexed citations
19.
Labrecque, Lawrence, et al.. (2017). Impact of type 2 diabetes on cardiorespiratory function and exercise performance. Physiological Reports. 5(4). e13145–e13145. 16 indexed citations
20.
Labrecque, Lawrence, Sarah Imhoff, Myriam Paquette, et al.. (2017). Diminished dynamic cerebral autoregulatory capacity with forced oscillations in mean arterial pressure with elevated cardiorespiratory fitness. Physiological Reports. 5(21). 59 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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