Michel Cauchon

843 total citations
27 papers, 571 citations indexed

About

Michel Cauchon is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Michel Cauchon has authored 27 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in General Health Professions, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Michel Cauchon's work include Patient-Provider Communication in Healthcare (14 papers), Patient Satisfaction in Healthcare (8 papers) and Health Sciences Research and Education (6 papers). Michel Cauchon is often cited by papers focused on Patient-Provider Communication in Healthcare (14 papers), Patient Satisfaction in Healthcare (8 papers) and Health Sciences Research and Education (6 papers). Michel Cauchon collaborates with scholars based in Canada, United States and Philippines. Michel Cauchon's co-authors include France Légaré, Michel Labrecque, Stéphane Turcotte, Jeremy Grimshaw, Ian D. Graham, Danielle Saucier, Luc Côté, R. Brian Haynes, Anik Giguère and Marie‐Pierre Gagnon and has published in prestigious journals such as PLoS ONE, Canadian Medical Association Journal and Patient Education and Counseling.

In The Last Decade

Michel Cauchon

23 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Cauchon Canada 9 418 202 68 61 52 27 571
Louis S. Jenkins South Africa 14 224 0.5× 191 0.9× 32 0.5× 58 1.0× 25 0.5× 59 483
Bupendra Shah United States 11 603 1.4× 303 1.5× 46 0.7× 64 1.0× 14 0.3× 25 918
Elisha M. Friesema United States 12 267 0.6× 64 0.3× 40 0.6× 104 1.7× 41 0.8× 16 568
Shannon McKinn Australia 14 219 0.5× 143 0.7× 36 0.5× 125 2.0× 20 0.4× 30 461
Diana Tabak Canada 12 286 0.7× 348 1.7× 26 0.4× 98 1.6× 25 0.5× 19 710
Klaus B. Von Pressentin South Africa 13 335 0.8× 139 0.7× 29 0.4× 141 2.3× 10 0.2× 75 495
Laura P. Shone United States 12 335 0.8× 68 0.3× 25 0.4× 128 2.1× 47 0.9× 14 515
Peder A. Halvorsen Norway 14 292 0.7× 129 0.6× 53 0.8× 227 3.7× 8 0.2× 46 676
Åsa Kettis Lindblad Sweden 17 193 0.5× 151 0.7× 14 0.2× 63 1.0× 31 0.6× 29 598
Richard G. Best United States 6 306 0.7× 109 0.5× 140 2.1× 80 1.3× 15 0.3× 7 585

Countries citing papers authored by Michel Cauchon

Since Specialization
Citations

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

Fields of papers citing papers by Michel Cauchon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Cauchon

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Cauchon. A scholar is included among the top collaborators of Michel Cauchon 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 Michel Cauchon. Michel Cauchon 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.
Allan, G. Michael, Kris Aubrey‐Bassler, Michel Cauchon, et al.. (2021). Validation des lignes directrices de pratique clinique. Canadian Family Physician. 67(7). e169–e173. 1 indexed citations
2.
Allan, G. Michael, Kris Aubrey‐Bassler, Michel Cauchon, et al.. (2021). Endorsement of clinical practice guidelines. Canadian Family Physician. 67(7). 499–502. 4 indexed citations
3.
Paquin, Vincent, et al.. (2019). Twenty “must-read” research articles for primary care providers in Nunavik: scoping study and development of an information tool. International Journal of Circumpolar Health. 78(1). 1578638–1578638. 7 indexed citations
4.
Robitaille, Hubert, Patrick Archambault, Johanne Blais, et al.. (2018). Can patients be trained to expect shared decision making in clinical consultations? Feasibility study of a public library program to raise patient awareness. PLoS ONE. 13(12). e0208449–e0208449. 12 indexed citations
5.
Rossignol, Michel, Michel Labrecque, Michel Cauchon, Marie-Claude Breton, & Paul Poirier. (2017). Number of patients needed to prescribe statins in primary cardiovascular prevention: mirage and reality. Family Practice. 35(4). 376–382. 6 indexed citations
6.
7.
Robitaille, Hubert, Stéphane Turcotte, Rhéda Adekpedjou, et al.. (2016). Teaching Shared Decision Making to Family Medicine Residents: A Descriptive Study of a Web-Based Tutorial. JMIR Medical Education. 2(2). e17–e17. 8 indexed citations
8.
Giguère, Anik, Michel Labrecque, France Légaré, et al.. (2015). Feasibility of a randomized controlled trial to evaluate the impact of decision boxes on shared decision-making processes. BMC Medical Informatics and Decision Making. 15(1). 13–13. 7 indexed citations
9.
Labrecque, Michel & Michel Cauchon. (2013). La médecine fondée sur des données probantes est-elle surestimée en médecine familiale?: Oui.. Canadian Family Physician. 59(11). 1164–1166.
10.
Légaré, France, et al.. (2012). Training family physicians in shared decision-making to reduce the overuse of antibiotics in acute respiratory infections: a cluster randomized trial. Canadian Medical Association Journal. 184(13). E726–E734. 169 indexed citations
11.
Giguère, Anik, Michel Labrecque, Michel Cauchon, et al.. (2012). Barriers and facilitators to implementing Decision Boxes in primary healthcare teams to facilitate shared decisionmaking: a study protocol. BMC Medical Informatics and Decision Making. 12(1). 85–85. 7 indexed citations
12.
Giguère, Anik, France Légaré, Roland Grad, et al.. (2012). Decision boxes for clinicians to support evidence-based practice and shared decision making: the user experience. Implementation Science. 7(1). 72–72. 38 indexed citations
13.
Cauchon, Michel, et al.. (2011). ADAPTATION TO SPANISH-SPEAKING COUNTRIES OF THE INFOCRITIQUE - SELF-LEARNING MODULES ON CRITICAL READING AND MANAGING OF INFORMATION. EDULEARN proceedings. 60–62. 1 indexed citations
15.
Gagnon, Marie‐Pierre, et al.. (2007). Perceived barriers to completing an e-learning program onevidence-based medicine. Journal of Innovation in Health Informatics. 15(2). 83–91. 66 indexed citations
16.
Graham, Ian D., Danielle Saucier, & Michel Cauchon. (2006). Supporting patients facing diffi cult health care decisions. 4 indexed citations
17.
Légaré, France, Annette M. O’Connor, Ian D. Graham, et al.. (2006). Primary health care professionals’ views on barriers and facilitators to the implementation of the Ottawa Decision Support Framework in practice. Patient Education and Counseling. 63(3). 380–390. 67 indexed citations
18.
Légaré, France, et al.. (2006). Supporting patients facing difficult health care decisions: use of the Ottawa Decision Support Framework.. PubMed. 52. 476–7. 90 indexed citations
19.
Leduc, Yvan & Michel Cauchon. (2001). Finding the right information at the right time. Part 2: MEDLINE, medical journals, and websites.. PubMed. 47. 567–9, 577.
20.
Leduc, Yvan, et al.. (1995). [Utilization of computerized classification system of primary care: three years of experience].. PubMed. 41. 1338–45. 3 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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