John Q. Young

72 papers receiving 1.9k citations

John Q. Young's Hit Papers

Cognitive Load Theory: Implications for medical education: AMEE Guide No. 86 2014 · 531 citations
5310+4+8Years since publication100200300400500

Peers

John Q. Young
Comparison fields: 5 of 112
  • Family Practice 272
  • Emergency Medicine 275
  • Public Health, Environmental and Occupational Health 534
  • Emergency Medical Services 98
  • Experimental and Cognitive Psychology 155
Replace Rajesh S. Mangrulkar with:
Rajesh S. Mangrulkar United States
Debra A. DaRosa United States
Ryan Brydges Canada
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Jennifer Weller New Zealand
Peter Dieckmann Denmark
Eugène J. F. M. Custers Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by John Q. Young

Since Specialization
Citations

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

Fields of papers citing papers by John Q. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Q. Young. 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 John Q. Young. The network helps show where John Q. Young may publish in the future.

Co-authors

The 25 scholars most cited alongside John Q. Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Q. Young Line = papers co-authored together John Q. Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cognitive Load Theory: Implications for medical education: AMEE Guide No. 86
Hit paper breakdown →
2014531
2 2011228
3 201378
4 201273
5 201870
6 201746
7 202245
8 201642
9 201740
10 200938
11 201638
12 201535
13 201433
14 201930
15 201629
16 200226
17 202024
18 202024
19 202122
20 202122

About John Q. Young

John Q. Young is a scholar working on Public Health, Environmental and Occupational Health, Emergency Medicine, General Health Professions, Family Practice and Emergency Medical Services, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Innovations in Medical Education (20 papers), Hospital Admissions and Outcomes (18 papers), Clinical Reasoning and Diagnostic Skills (11 papers), Patient Safety and Medication Errors (5 papers), Healthcare Policy and Management (5 papers), COVID-19 and Mental Health (5 papers), Healthcare professionals’ stress and burnout (5 papers) and Diversity and Career in Medicine (4 papers). The work is most often cited by research in Family Practice (272 citations), Emergency Medicine (275 citations), Public Health, Environmental and Occupational Health (534 citations), Emergency Medical Services (98 citations) and Experimental and Cognitive Psychology (155 citations). John Q. Young has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Olle ten Cate, Jeroen J. G. van Merriënboer, Patricia O’Sullivan, Robert M. Wachter, Justin L. Sewell, Andrew D. Auerbach, Brian Niehaus, Connie M. Lee, Sumant R Ranji and David M. Irby. Their work appears in journals such as Academic Medicine, Academic Psychiatry, Medical Education, Medical Teacher and The Joint Commission Journal on Quality and Patient Safety.

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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