Jonathan Day

56 papers receiving 742 citations

Peers

Jonathan Day
Comparison fields: 5 of 49
  • Orthopedics and Sports Medicine 520
  • Health Informatics 19
  • Biochemistry 21
  • Rehabilitation 18
  • Surgery 90
Replace Hans-Wilhelm Mueller-Wohlfahrt with:
Hans-Wilhelm Mueller-Wohlfahrt Germany
Naoko Onizuka United States
Ilari Pajamäki Finland
Andrew A. Dunkman United States
Lydia Pathmanathan United States
Mehmet Erduran Türkiye
James Michael Paci United States
Neashan Mathavan Sweden
Vassiliki Tsioli Greece
Kerstin Sunding Sweden
Jonathan Day relative to Hans-Wilhelm Mueller-Wohlfahrt Germany Hans-Wilhelm Mueller-Wohlfahrt's profile →
Citations per field
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Hans-Wilhelm Mueller-Wohlfahrt · 1×
Citations per year

Countries citing papers authored by Jonathan Day

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 202055
3 202049
4 202037
5 202036
6 202035
7 202134
8 202130
9 202029
10 202128
11 202027
12 202022
13 202019
14 202018
15 202218
16 202115
17 202213
18 202213
19 202212
20 202212

About Jonathan Day

Jonathan Day is a scholar working on Orthopedics and Sports Medicine, Surgery, Oncology, Biomedical Engineering and Epidemiology, having authored 62 papers that have together received 762 indexed citations. Recurring topics across this work include Foot and Ankle Surgery (43 papers), Lower Extremity Biomechanics and Pathologies (4 papers), Knee injuries and reconstruction techniques (3 papers), Bone fractures and treatments (3 papers), Shoulder Injury and Treatment (3 papers), COVID-19 and healthcare impacts (2 papers), Tendon Structure and Treatment (2 papers) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (520 citations), Health Informatics (19 citations), Biochemistry (21 citations), Rehabilitation (18 citations) and Surgery (90 citations). Jonathan Day has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Scott Jacob Ellis, Jonathan Thorndike Deland, César de César Netto, Lew Charles Schon, Bruce J. Sangeorzan, Mark S. Myerson, Jeffrey E. Johnson, David B. Thordarson, Beat Hintermann and Jaeyoung Kim. Their work appears in journals such as Foot & Ankle International, Foot and Ankle Surgery, Sports Medicine and Arthroscopy Review, International Orthopaedics and Journal of Bone and Joint 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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