Gary L. Dunnington

132 papers receiving 4.7k citations

Peers

Gary L. Dunnington
Comparison fields: 5 of 152
  • Family Practice 482
  • Public Health, Environmental and Occupational Health 2.3k
  • Emergency Medicine 611
  • Gender Studies 477
  • Surgery 2.2k
Replace Carol‐Anne Moulton with:
Carol‐Anne Moulton Canada
Debra A. DaRosa United States
Reed G. Williams United States
Douglas S. Smink United States
Mary E. Klingensmith United States
Hilary Sanfey United States
Richard W. Schwartz United States
Amy T. Wang United States
Irene Ma Canada
Sylvain Boet Canada
Gary L. Dunnington relative to Carol‐Anne Moulton Canada Carol‐Anne Moulton's profile →
Citations per field
00.5×3.6×
Carol‐Anne Moulton · 1×
Citations per year

Countries citing papers authored by Gary L. Dunnington

Since Specialization
Citations

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

Fields of papers citing papers by Gary L. Dunnington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary L. Dunnington. 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 Gary L. Dunnington. The network helps show where Gary L. Dunnington may publish in the future.

Co-authors

The 25 scholars most cited alongside Gary L. Dunnington, 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 Gary L. Dunnington Line = papers co-authored together Gary L. Dunnington links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007261
2 2008183
3 2009180
4 2006172
5 2005168
6 2007139
7 1997126
8 2008114
9 1997113
10 2006111
11 2005106
12 2009103
13 1998101
14 199986
15 200881
16 200480
17 200475
18 200366
19 200765
20 201264

About Gary L. Dunnington

Gary L. Dunnington is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Cardiology and Cardiovascular Medicine, Gender Studies and General Health Professions, having authored 133 papers that have together received 4.9k indexed citations. Recurring topics across this work include Innovations in Medical Education (65 papers), Surgical Simulation and Training (41 papers), Cardiac, Anesthesia and Surgical Outcomes (22 papers), Diversity and Career in Medicine (22 papers), Hospital Admissions and Outcomes (16 papers), Radiology practices and education (14 papers), Clinical Reasoning and Diagnostic Skills (13 papers) and Anatomy and Medical Technology (9 papers). The work is most often cited by research in Family Practice (482 citations), Public Health, Environmental and Occupational Health (2.3k citations), Emergency Medicine (611 citations), Gender Studies (477 citations) and Surgery (2.2k citations). Gary L. Dunnington has collaborated with scholars based in United States, Canada and Rwanda. Frequent co-authors include Reed G. Williams, Debra A. DaRosa, Margaret L. Boehler, Daniel J. Scott, Hilary Sanfey, Cathy J. Schwind, Michael J. Kim, Nicole K. Roberts, Janet Ketchum and Laura Q. Rogers. Their work appears in journals such as The American Journal of Surgery, Journal of surgical education, Surgery, Journal of the American College of Surgeons and Annals of Surgery.

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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