Thomas Cha
Impact in
-
- Spine and Intervertebral Disc Pathology
- Health Informatics top 10%
Papers in ⓘ
-
- Spine and Intervertebral Disc Pathology 26
- Pharmacology 14
- Musculoskeletal pain and rehabilitation 14
- Co-authors
- Guoan Li (18 shared papers)Joseph H. Schwab (13 shared papers)Stuart H. Hershman (14 shared papers)Chaochao Zhou (13 shared papers)Christopher M. Bono (8 shared papers)Anmol Gupta (10 shared papers)Harold A. Fogel (11 shared papers)Karen Sepucha (3 shared papers)
- Journals
- The Spine Journal (5 papers)Global Spine Journal (4 papers)Journal of Biomechanics (4 papers)Clinical Biomechanics (2 papers)Annals of Biomedical Engineering (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Thomas Cha
38 papers receiving 649 citations
Peers
Comparison fields: 5 of 91
- Pathology and Forensic Medicine 349
- Health Informatics 22
- Surgery 410
- Pharmacology 148
- Orthopedics and Sports Medicine 50
Countries citing papers authored by Thomas Cha
This map shows the geographic impact of Thomas Cha'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 Thomas Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Cha more than expected).
Fields of papers citing papers by Thomas Cha
This network shows the impact of papers produced by Thomas Cha. 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 Thomas Cha. The network helps show where Thomas Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Cha, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2018 | 78 | |
| 3 | 2017 | 59 | |
| 4 | 2020 | 52 | |
| 5 | 2013 | 37 | |
| 6 | 2020 | 33 | |
| 7 | 2019 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2021 | 25 | |
| 10 | 2019 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2016 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 2019 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2020 | 7 | |
| 20 | 2012 | 7 |
About Thomas Cha
Thomas Cha is a scholar working on Pathology and Forensic Medicine, Pharmacology, Surgery, Orthopedics and Sports Medicine and Health Information Management, having authored 41 papers that have together received 659 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (26 papers), Spinal Fractures and Fixation Techniques (20 papers), Musculoskeletal pain and rehabilitation (14 papers), Scoliosis diagnosis and treatment (10 papers), Medical Imaging and Analysis (8 papers), Cervical and Thoracic Myelopathy (8 papers), Pelvic and Acetabular Injuries (4 papers) and Patient-Provider Communication in Healthcare (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (349 citations), Health Informatics (22 citations), Surgery (410 citations), Pharmacology (148 citations) and Orthopedics and Sports Medicine (50 citations). Thomas Cha has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Guoan Li, Joseph H. Schwab, Stuart H. Hershman, Chaochao Zhou, Christopher M. Bono, Anmol Gupta, Harold A. Fogel, Karen Sepucha, Steven J. Atlas and Andrew A. Freiberg. Their work appears in journals such as The Spine Journal, Global Spine Journal, Journal of Biomechanics, Clinical Biomechanics and Annals of Biomedical Engineering.
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.