Jay Toor

402 citations
30 papers · 254 · h-index 8

Impact in

Papers in

    • Healthcare Operations and Scheduling Optimization 10
    • Knee injuries and reconstruction techniques 2
    • Scoliosis diagnosis and treatment 2
    • Cervical and Thoracic Myelopathy 2
    • Total Knee Arthroplasty Outcomes 2

Jay Toor

26 papers receiving 247 citations

Peers

Jay Toor
Comparison fields: 5 of 63
  • Health Informatics 18
  • Emergency Medical Services 36
  • Surgery 94
  • Microbiology 12
  • Health Information Management 16
Replace Neal Thurley with:
Neal Thurley United Kingdom
Tolga Tolunay Türkiye
Chayanin Angthong Thailand
Chihwen Winnie Yu-Moe United States
Konrad Leslie Davis United States
Daan Dohmen Netherlands
Yinji Jin South Korea
Herbert De Praetere Belgium
Evan L. Leventhal United States
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Jay Toor relative to Neal Thurley United Kingdom Neal Thurley's profile →
Citations per field
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Neal Thurley · 1×
Citations per year

Countries citing papers authored by Jay Toor

Since Specialization
Citations

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

Fields of papers citing papers by Jay Toor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 202236
3 202135
4 201818
5 202216
6 202212
7 202111
8
Does Computed Tomography Change our Observation and Management of Fracture Non-Unions?
201610
9 20228
10 20238
11 20237
12 20166
13 20236
14 20245
15 20224
16 20234
17 20254
18 20213
19 20213
20 20253

About Jay Toor

Jay Toor is a scholar working on Emergency Medical Services, Surgery, Health Information Management, Management Information Systems and Pharmacology, having authored 30 papers that have together received 254 indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (10 papers), Knee injuries and reconstruction techniques (2 papers), Scoliosis diagnosis and treatment (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Healthcare Quality and Management (2 papers), Cervical and Thoracic Myelopathy (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Health Informatics (18 citations), Emergency Medical Services (36 citations), Surgery (94 citations), Microbiology (12 citations) and Health Information Management (16 citations). Jay Toor has collaborated with scholars based in Canada, United States and Greece. Frequent co-authors include Johnathan R. Lex, Robert Koucheki, Cari Marisa Whyne, David J. Backstein, Bheeshma Ravi, Elias B. Khalil, Jesse Isaac Wolfstadt, Jin Tong Du, Panayiotis J. Papagelopoulos and Peter Charles Ferguson. Their work appears in journals such as Canadian Journal of Surgery, European Spine Journal, The Spine Journal, PLoS ONE and Acta Biomaterialia.

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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