Jun Tan
Impact in
-
- Spine and Intervertebral Disc Pathology
- Surgery top 10%
- Spinal Fractures and Fixation Techniques
- Cervical and Thoracic Myelopathy
- Pelvic and Acetabular Injuries
Papers in
- Surgery 32
- Spinal Fractures and Fixation Techniques 17
- Cervical and Thoracic Myelopathy 9
- Pelvic and Acetabular Injuries 8
- Orthopedic Surgery and Rehabilitation 3
-
- Spine and Intervertebral Disc Pathology 25
- Co-authors
- Lijun Li (9 shared papers)Qiang Zhang (2 shared papers)Qihang Su (13 shared papers)Yingchao Han (3 shared papers)Guixin Sun (4 shared papers)Haitao Wang (1 shared paper)Lie Qian (3 shared papers)Jie Pan (5 shared papers)
- Journals
- Spine (3 papers)Injury (2 papers)Clinical Spine Surgery A Spine Publication (2 papers)BMC Musculoskeletal Disorders (2 papers)Small (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jun Tan
51 papers receiving 778 citations
Peers
Comparison fields: 5 of 92
- Pathology and Forensic Medicine 354
- Surgery 377
- Orthopedics and Sports Medicine 66
- Pharmacology 106
- Rheumatology 66
Countries citing papers authored by Jun Tan
This map shows the geographic impact of Jun Tan'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 Jun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tan more than expected).
Fields of papers citing papers by Jun Tan
This network shows the impact of papers produced by Jun Tan. 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 Jun Tan. The network helps show where Jun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 117 | |
| 2 | 2020 | 64 | |
| 3 | 2014 | 53 | |
| 4 | 2010 | 50 | |
| 5 | 2014 | 46 | |
| 6 | 2021 | 33 | |
| 7 | 2011 | 31 | |
| 8 | 2015 | 30 | |
| 9 | 2022 | 29 | |
| 10 | 2020 | 28 | |
| 11 | 2009 | 26 | |
| 12 | 2023 | 24 | |
| 13 | 2020 | 19 | |
| 14 | 2021 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2021 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2020 | 12 |
About Jun Tan
Jun Tan is a scholar working on Surgery, Pathology and Forensic Medicine, Pharmacology, Molecular Biology and Orthopedics and Sports Medicine, having authored 52 papers that have together received 787 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (25 papers), Spinal Fractures and Fixation Techniques (17 papers), Cervical and Thoracic Myelopathy (9 papers), Pelvic and Acetabular Injuries (8 papers), Musculoskeletal pain and rehabilitation (7 papers), Tendon Structure and Treatment (5 papers), Medical Imaging and Analysis (5 papers) and Orthopedic Surgery and Rehabilitation (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (354 citations), Surgery (377 citations), Orthopedics and Sports Medicine (66 citations), Pharmacology (106 citations) and Rheumatology (66 citations). Jun Tan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Lijun Li, Qiang Zhang, Qihang Su, Yingchao Han, Guixin Sun, Haitao Wang, Lie Qian, Jie Pan, Mingjie Yang and Yongchao Li. Their work appears in journals such as Spine, Injury, Clinical Spine Surgery A Spine Publication, BMC Musculoskeletal Disorders and Small.
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.