Daniel Avery

60 papers receiving 621 citations

Peers

Daniel Avery
Comparison fields: 5 of 105
  • Rehabilitation 109
  • Emergency Medical Services 103
  • Orthopedics and Sports Medicine 58
  • Surgery 294
  • Gender Studies 59
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Ann D. Smith United States
Patrick Felle Ireland
Michael T. Nolte United States
Warwick Bagg New Zealand
Eugene W. Brabston United States
Marie Viprey France
Tamara S. Morgan United States
Pasha Normahani United Kingdom
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Citations per field
00.5×6.4×
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Citations per year

Countries citing papers authored by Daniel Avery

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201348
2 201645
3 201744
4 201439
5 201528
6 201426
7 201926
8 201523
9 201122
10 202121
11 201621
12 201719
13 200917
14 202315
15 202015
16 202113
17
Factors Associated with Choosing Family Medicine Factors Associated with Choosing Family Medicine as a Career Specialty: What Can We Use?
200913
18 202311
19 202211
20 201411

About Daniel Avery

Daniel Avery is a scholar working on Surgery, Epidemiology, Public Health, Environmental and Occupational Health, Emergency Medical Services and Gender Studies, having authored 63 papers that have together received 647 indexed citations. Recurring topics across this work include Global Health Workforce Issues (9 papers), Diversity and Career in Medicine (9 papers), Orthopedic Surgery and Rehabilitation (7 papers), Elbow and Forearm Trauma Treatment (6 papers), Medical Education and Admissions (4 papers), Bone fractures and treatments (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Open Source Software Innovations (3 papers). The work is most often cited by research in Rehabilitation (109 citations), Emergency Medical Services (103 citations), Orthopedics and Sports Medicine (58 citations), Surgery (294 citations) and Gender Studies (59 citations). Daniel Avery has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Kristofer S. Matullo, Craig M. Rodner, Cory Edgar, James D. Leeper, Aditya Ghose, Hoa Khanh Dam, Augustus D. Mazzocca, Mark P. Cote, Liming Li and Jun Lv. Their work appears in journals such as The Journal Of Hand Surgery, American Journal of Obstetrics and Gynecology, Obesity, Arthroscopy The Journal of Arthroscopic and Related Surgery and Hypertension.

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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