Michael McGillion

7.3k total citations · 1 hit paper
91 papers, 2.4k citations indexed

About

Michael McGillion is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Surgery. According to data from OpenAlex, Michael McGillion has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cardiology and Cardiovascular Medicine, 22 papers in General Health Professions and 19 papers in Surgery. Recurrent topics in Michael McGillion's work include Cardiac Health and Mental Health (20 papers), Pediatric Pain Management Techniques (9 papers) and Pain Management and Opioid Use (8 papers). Michael McGillion is often cited by papers focused on Cardiac Health and Mental Health (20 papers), Pediatric Pain Management Techniques (9 papers) and Pain Management and Opioid Use (8 papers). Michael McGillion collaborates with scholars based in Canada, United States and United Kingdom. Michael McGillion's co-authors include Judy Watt‐Watson, Sandra Carroll, Heather M. Arthur, Marissa Bird, Carley Ouellette, Tammy Cosman, Carly Whitmore, Craig Dale, Lynn Haslam‐Larmer and Louise Rose and has published in prestigious journals such as Journal of Clinical Oncology, Pain and European Heart Journal.

In The Last Decade

Michael McGillion

89 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A generative co-design framework for healthcare innovation: development and application of an end-user engagement framework

2021 155 citations Michael McGillion et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael McGillion Canada	22	580	564	539	487	404	91	2.4k
Amanda Nicholson United Kingdom	27	979 1.7×	675 1.2×	223 0.4×	637 1.3×	277 0.7×	42	2.9k
Lani Zimmerman United States	32	634 1.1×	1.2k 2.0×	92 0.2×	358 0.7×	362 0.9×	98	3.3k
Marie O’Connor Ireland	19	340 0.6×	549 1.0×	197 0.4×	145 0.3×	239 0.6×	43	3.5k
Rachael Powell United Kingdom	22	291 0.5×	196 0.3×	190 0.4×	463 1.0×	198 0.5×	50	1.7k
Catriona McDaid United Kingdom	26	218 0.4×	259 0.5×	287 0.5×	1.0k 2.2×	550 1.4×	84	2.7k
David Yanez United States	20	318 0.5×	441 0.8×	117 0.2×	529 1.1×	364 0.9×	54	2.4k
Elizabeth G. VanDenKerkhof Canada	36	633 1.1×	237 0.4×	489 0.9×	866 1.8×	447 1.1×	114	3.3k
Leslie A. Hoffman United States	36	637 1.1×	365 0.6×	211 0.4×	403 0.8×	615 1.5×	157	3.9k
Rachel Couban Canada	23	232 0.4×	100 0.2×	535 1.0×	552 1.1×	560 1.4×	110	2.5k
Micaela M. Esquivel United States	16	261 0.5×	764 1.4×	191 0.4×	848 1.7×	774 1.9×	42	2.4k

Countries citing papers authored by Michael McGillion

Since Specialization

Citations

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

Fields of papers citing papers by Michael McGillion

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael McGillion

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

All Works

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20 of 20 papers shown

Ranisau, Jonathan, Shuang Di, Michael McGillion, et al.. (2023). Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review. Journal of Medical Internet Research. 26. e52880–e52880. 6 indexed citations

Shen, Christine, James C. Perry, Amr F. Barakat, et al.. (2023). Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator. Journal of the American Heart Association. 12(8). e026974–e026974. 13 indexed citations

Nolde, Janis M., Markus P. Schlaich, Daniel I. Sessler, et al.. (2023). Machine learning to predict myocardial injury and death after non‐cardiac surgery. Anaesthesia. 78(7). 853–860. 9 indexed citations

Lokker, Cynthia, Jobin K. Varughese, Elizabeth Álvarez, et al.. (2021). Feasibility of a Web-Based Platform (Trial My App) to Efficiently Conduct Randomized Controlled Trials of mHealth Apps For Patients With Cardiovascular Risk Factors: Protocol For Evaluating an mHealth App for Hypertension. JMIR Research Protocols. 10(2). e26155–e26155. 9 indexed citations

McGillion, Michael, et al.. (2021). Association between postsurgical pain and heart rate variability: protocol for a scoping review. BMJ Open. 11(4). e044949–e044949. 4 indexed citations

Parry, Monica, Ann Kristin Bjørnnes, Michelle Duong, et al.. (2021). “Her Heart Matters”—Making Visible the Cardiac Pain Experiences of Women with Physical Disabilities and Heart Disease: A Qualitative Study. CJC Open. 4(2). 214–222. 1 indexed citations

Nelson, Walter, Shuang Di, Michael McGillion, et al.. (2020). Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review. Journal of Medical Internet Research. 23(2). e25187–e25187. 77 indexed citations

Yang, Stephen, et al.. (2020). Intravenous lidocaine to prevent postoperative airway complications in adults: a systematic review and meta-analysis. British Journal of Anaesthesia. 124(3). 314–323. 67 indexed citations

Wright, Hayley, Faith Martin, Wendy Clyne, et al.. (2020). A Digital Program (Hope) for People Living With Cancer During the COVID-19 Pandemic: Protocol for a Feasibility Randomized Controlled Trial. JMIR Research Protocols. 9(12). e24264–e24264. 4 indexed citations

10.

Clarke, Hance, Michael Poon, Vivek Rao, et al.. (2019). Toward a phenomic analysis of chronic postsurgical pain following cardiac surgery. Canadian Journal of Pain. 3(1). 58–69. 6 indexed citations

11.

Carroll, Sandra, Gayathri Embuldeniya, Krystina B. Lewis, et al.. (2018). “I don’t know exactly what you’re referring to”: the challenge of values elicitation in decision making for implantable cardioverter-defibrillators. Patient Preference and Adherence. Volume 12. 1947–1954. 6 indexed citations

12.

McGillion, Michael. (2018). Remote automated postoperative monitoring: Need for and state of the science. Journal of Clinical & Experimental Cardiology. 1 indexed citations

13.

Allan, Katherine S., Theresa Aves, Laura Banfield, et al.. (2017). Comparison of health-related quality of life in patients with atrial fibrillation treated with catheter ablation or antiarrhythmic drug therapy: a systematic review and meta-analysis protocol. BMJ Open. 7(8). e017577–e017577. 5 indexed citations

14.

Parry, Monica, Ann Kristin Bjørnnes, J. Charles Victor, et al.. (2017). Self-Management Interventions for Women With Cardiac Pain: A Systematic Review and Meta-analysis. Canadian Journal of Cardiology. 34(4). 458–467. 11 indexed citations

15.

Wang, Li, Gordon Guyatt, Sean A. Kennedy, et al.. (2016). Predictors of persistent pain after breast cancer surgery: a systematic review and meta-analysis of observational studies. Canadian Medical Association Journal. 188(14). E352–E361. 227 indexed citations

16.

Allan, Katherine S., Laurie J. Morrison, Arnold Pintér, et al.. (2016). THE EFFECT OF GENDER ON SURVIVAL FROM SUDDEN CARDIAC DEATH IN THE YOUNG. Canadian Journal of Cardiology. 32(10). S213–S214. 1 indexed citations

17.

McGillion, Michael, Cook, Christina Victor, et al.. (2010). Effectiveness of percutaneous laser revascularization therapy for refractory angina. Vascular Health and Risk Management. 6. 735–735. 10 indexed citations

18.

Marchand, Serge, Michael McGillion, Manon Choinière, et al.. (2009). Canadian Pain Society Conference. Pain Research and Management. 14(2). 121–168. 1 indexed citations

19.

Hunter, Judith, et al.. (2005). Online Collaboration by Interprofessional Student Teams completing a Mixed-Mode Case Study. EdMedia: World Conference on Educational Media and Technology. 2005(1). 2158–2165. 1 indexed citations

20.

Watt‐Watson, Judy, Frances Chung, Vincent Chan, & Michael McGillion. (2004). Pain management following discharge after ambulatory same-day surgery. Journal of Nursing Management. 12(3). 153–161. 90 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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