J. Gordon Boyd

4.4k total citations · 1 hit paper
75 papers, 2.8k citations indexed

About

J. Gordon Boyd is a scholar working on Critical Care and Intensive Care Medicine, Developmental Neuroscience and Neurology. According to data from OpenAlex, J. Gordon Boyd has authored 75 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Critical Care and Intensive Care Medicine, 19 papers in Developmental Neuroscience and 18 papers in Neurology. Recurrent topics in J. Gordon Boyd's work include Intensive Care Unit Cognitive Disorders (23 papers), Traumatic Brain Injury and Neurovascular Disturbances (14 papers) and Nerve injury and regeneration (12 papers). J. Gordon Boyd is often cited by papers focused on Intensive Care Unit Cognitive Disorders (23 papers), Traumatic Brain Injury and Neurovascular Disturbances (14 papers) and Nerve injury and regeneration (12 papers). J. Gordon Boyd collaborates with scholars based in Canada, United States and United Kingdom. J. Gordon Boyd's co-authors include Tessa Gordon, David M. Maslove, John Muscedere, Michael D. Kawaja, Olawale A.R. Sulaiman, R. Doucette, Stephanie Sibley, Braden Waters, Sean M. Bagshaw and Kenneth Rockwood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

J. Gordon Boyd

70 papers receiving 2.8k citations

Hit Papers

The impact of frailty on intensive care unit outcomes: a ... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Gordon Boyd Canada 22 1.4k 740 659 445 347 75 2.8k
Elizabeth L. Whitlock United States 23 559 0.4× 404 0.5× 848 1.3× 517 1.2× 63 0.2× 60 2.3k
Gregory W. J. Hawryluk United States 27 1.2k 0.9× 371 0.5× 1.1k 1.7× 368 0.8× 16 0.0× 77 5.8k
Sorin J. Brull United States 36 253 0.2× 672 0.9× 2.4k 3.7× 714 1.6× 18 0.1× 193 4.8k
Manfred Berres Germany 30 66 0.0× 199 0.3× 560 0.8× 344 0.8× 128 0.4× 95 2.6k
Masahiko Kawaguchi Japan 23 121 0.1× 336 0.5× 638 1.0× 317 0.7× 19 0.1× 166 1.8k
Stéfan Matecki France 35 230 0.2× 78 0.1× 404 0.6× 1.4k 3.2× 53 0.2× 106 4.8k
Michael Chang United States 28 279 0.2× 57 0.1× 1.3k 2.0× 473 1.1× 26 0.1× 90 3.5k
Carlo Ori Italy 29 195 0.1× 703 0.9× 924 1.4× 742 1.7× 9 0.0× 154 3.1k
David L. McDonagh United States 26 98 0.1× 439 0.6× 513 0.8× 616 1.4× 29 0.1× 85 2.2k
Tobias Cronberg Sweden 45 261 0.2× 263 0.4× 669 1.0× 1.9k 4.2× 24 0.1× 161 8.7k

Countries citing papers authored by J. Gordon Boyd

Since Specialization
Citations

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

Fields of papers citing papers by J. Gordon Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Gordon Boyd

This figure shows the co-authorship network connecting the top 25 collaborators of J. Gordon Boyd. A scholar is included among the top collaborators of J. Gordon Boyd 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 J. Gordon Boyd. J. Gordon Boyd 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.
3.
Honarmand, Kimia & J. Gordon Boyd. (2024). Long-Term Cognitive Function Among Critical Illness Survivors. Critical Care Clinics. 41(1). 41–52.
4.
Boyd, J. Gordon, et al.. (2023). Psychophysiological models of hypovigilance detection: A scoping review. Psychophysiology. 60(11). e14370–e14370. 2 indexed citations
5.
Kho, Michelle E., et al.. (2022). Outcomes of critically ill COVID-19 survivors and caregivers: a case study-centred narrative review. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 69(5). 630–643. 1 indexed citations
6.
Holden, Rachel M., Samuel A. Silver, Stephen H. Scott, et al.. (2021). Identifying neurocognitive outcomes and cerebral oxygenation in critically ill adults on acute kidney replacement therapy in the intensive care unit: the INCOGNITO-AKI study protocol. BMJ Open. 11(8). e049250–e049250. 1 indexed citations
7.
Holden, Rachel M., et al.. (2021). Robotic technology quantifies novel perceptual-motor impairments in patients with chronic kidney disease. Journal of Nephrology. 34(4). 1243–1256. 5 indexed citations
8.
Wood, Michael D., Kevin F. H. Lee, David M. Maslove, et al.. (2020). Delirium, Cerebral Perfusion, and High-Frequency Vital-Sign Monitoring in the Critically Ill. The CONFOCAL-2 Feasibility Study. Annals of the American Thoracic Society. 18(1). 112–121. 6 indexed citations
10.
Scott, Stephen H., A. G. Hamilton, Dimitri Petsikas, et al.. (2019). Road to recovery: a study protocol quantifying neurological outcome in cardiac surgery patients and the role of cerebral oximetry. BMJ Open. 9(12). e032935–e032935. 2 indexed citations
11.
Wood, Michael D., Jill A. Jacobson, David M. Maslove, John Muscedere, & J. Gordon Boyd. (2019). The physiological determinants of near-infrared spectroscopy-derived regional cerebral oxygenation in critically ill adults. Intensive Care Medicine Experimental. 7(1). 23–23. 19 indexed citations
12.
Wood, Michael D., et al.. (2018). Using principal component analysis to reduce complex datasets produced by robotic technology in healthy participants. Journal of NeuroEngineering and Rehabilitation. 15(1). 71–71. 10 indexed citations
13.
Scott, Stephen H., A. G. Hamilton, Dimitri Petsikas, et al.. (2018). The relationship between cerebral oxygen saturation and quantitative metrics of neurological function after coronary bypass surgery: a feasibility study. The Journal of Cardiovascular Surgery. 59(5). 716–728. 2 indexed citations
14.
Waters, Braden, et al.. (2017). Frailty measurement and outcomes in interventional studies: protocol for a systematic review of randomised control trials. BMJ Open. 7(12). e018872–e018872. 8 indexed citations
15.
Boyd, J. Gordon, et al.. (2017). Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study. Journal of Intensive Care. 5(1). 64–64. 40 indexed citations
16.
Chapman, Martin, Victoria McCredie, Derek Debicki, et al.. (2016). EEG utilization in Canadian intensive care units: A multicentre prospective observational study. Seizure. 43. 42–47. 7 indexed citations
17.
Boyd, J. Gordon, et al.. (2016). Serum proteomics as a strategy to identify novel biomarkers of neurologic recovery after cardiac arrest: a feasibility study. Intensive Care Medicine Experimental. 4(1). 9–9. 6 indexed citations
18.
Muscedere, John, David M. Maslove, J. Gordon Boyd, et al.. (2016). Prevention of nosocomial infections in critically ill patients with lactoferrin (PREVAIL study): study protocol for a randomized controlled trial. Trials. 17(1). 474–474. 5 indexed citations
19.
Arntfield, Robert, Scott J. Millington, Craig Ainsworth, et al.. (2014). Canadian Recommendations for Critical Care Ultrasound Training and Competency. Canadian Respiratory Journal. 21(6). 341–345. 65 indexed citations
20.
Rowland, James W., et al.. (2007). Olfactory ensheathing cells express smooth muscle α‐actin in vitro and in vivo. The Journal of Comparative Neurology. 503(2). 209–223. 40 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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