John Tran
- Health Informatics top 5%
- Surgery top 10%
- Shoulder Injury and Treatment 25
- Anesthesia and Pain Management 6
- Orthopedic Surgery and Rehabilitation 6
- Total Knee Arthroplasty Outcomes 6
- Knee injuries and reconstruction techniques 5
- Anesthesiology and Pain Medicine top 10%
- Orthopedics and Sports Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Spine and Intervertebral Disc Pathology 12
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- Musculoskeletal pain and rehabilitation 8
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- Shoulder and Clavicle Injuries 6
- Co-authors
- Anne AgurPhilip PengMichael GofeldVincent ChanEhtesham BaigKaren LamEldon LohSanjay K. Sinha
- Journals
- Regional Anesthesia & Pain Medicine (14 papers)Pain Medicine (7 papers)Physical Medicine and Rehabilitation Clinics of North America (3 papers)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
John Tran
41 papers receiving 597 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 27
- Surgery 513
- Anesthesiology and Pain Medicine 45
- Orthopedics and Sports Medicine 63
- Pathology and Forensic Medicine 115
Countries citing papers authored by John Tran
This map shows the geographic impact of John Tran'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 Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tran more than expected).
Fields of papers citing papers by John Tran
This network shows the impact of papers produced by John Tran. 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 Tran. The network helps show where John Tran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 37 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 2021 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 1991 | 1 |
About John Tran
John Tran is a scholar working on Surgery, Health Informatics, Pathology and Forensic Medicine, Pharmacology and Otorhinolaryngology, having authored 50 papers that have together received 610 indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (25 papers), Spine and Intervertebral Disc Pathology (12 papers), Musculoskeletal pain and rehabilitation (8 papers), Anesthesia and Pain Management (6 papers), Orthopedic Surgery and Rehabilitation (6 papers), Shoulder and Clavicle Injuries (6 papers), Total Knee Arthroplasty Outcomes (6 papers) and Knee injuries and reconstruction techniques (5 papers). The work is most often cited by research in Health Informatics (27 citations), Surgery (513 citations), Anesthesiology and Pain Medicine (45 citations), Orthopedics and Sports Medicine (63 citations) and Pathology and Forensic Medicine (115 citations). John Tran has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Anne Agur, Philip Peng, Michael Gofeld, Vincent Chan, Ehtesham Baig, Karen Lam, Eldon Loh, Philip Peng, Sanjay K. Sinha and Laura Girón‐Arango. Their work appears in journals such as Regional Anesthesia & Pain Medicine, Pain Medicine, Physical Medicine and Rehabilitation Clinics of North America, Plastic & Reconstructive Surgery and Journal of Anatomy.
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.