Mitchell Sutton
Impact in
- Emergency Medicine top 10%
- Trauma and Emergency Care Studies
- Cardiac Arrest and Resuscitation
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- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
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- Traumatic Brain Injury Research 7
-
- Spondyloarthritis Studies and Treatments 6
- Co-authors
- Michael Escobar (11 shared papers)Angela Colantonio (11 shared papers)Tatyana Mollayeva (11 shared papers)Vincy Chan (11 shared papers)Zheng Hu (3 shared papers)Chen Xiong (4 shared papers)Vinod Chandran (6 shared papers)Xiaobing Feng (2 shared papers)
- Journals
- The Journal of Rheumatology (3 papers)BMJ Open (2 papers)Archives of Physical Medicine and Rehabilitation (2 papers)Scientific Reports (2 papers)Arthritis Care & Research (1 paper)
- Partner nations
- CanadaUnited StatesIreland
In The Last Decade
Mitchell Sutton
20 papers receiving 192 citations
Peers
Comparison fields: 5 of 54
- Emergency Medicine 54
- Neurology 46
- Rheumatology 31
- Epidemiology 68
- Modeling and Simulation 6
Countries citing papers authored by Mitchell Sutton
This map shows the geographic impact of Mitchell Sutton'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 Mitchell Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Sutton more than expected).
Fields of papers citing papers by Mitchell Sutton
This network shows the impact of papers produced by Mitchell Sutton. 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 Mitchell Sutton. The network helps show where Mitchell Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Sutton, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 35 | |
| 2 | 2018 | 22 | |
| 3 | 2022 | 19 | |
| 4 | 2021 | 17 | |
| 5 | 2017 | 15 | |
| 6 | 2019 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 1989 | 1 | |
| 20 | 2022 | 1 |
About Mitchell Sutton
Mitchell Sutton is a scholar working on Epidemiology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Emergency Medicine and Modeling and Simulation, having authored 22 papers that have together received 197 indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (7 papers), Spondyloarthritis Studies and Treatments (6 papers), Fractional Differential Equations Solutions (3 papers), Trauma and Emergency Care Studies (3 papers), Numerical methods in engineering (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Autopsy Techniques and Outcomes (2 papers) and Nonlinear Differential Equations Analysis (2 papers). The work is most often cited by research in Emergency Medicine (54 citations), Neurology (46 citations), Rheumatology (31 citations), Epidemiology (68 citations) and Modeling and Simulation (6 citations). Mitchell Sutton has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Michael Escobar, Angela Colantonio, Tatyana Mollayeva, Vincy Chan, Zheng Hu, Chen Xiong, Vinod Chandran, Xiaobing Feng, Daniel Pereira and Dafna D. Gladman. Their work appears in journals such as The Journal of Rheumatology, BMJ Open, Archives of Physical Medicine and Rehabilitation, Scientific Reports and Arthritis Care & Research.
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.