Garnette Sutherland
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Surgery 3
- Surgical Simulation and Training 2
-
- Protease and Inhibitor Mechanisms 2
- Co-authors
- Dylan R. Edwards (3 shared papers)Peter Forsyth (3 shared papers)Kevin J. Leco (2 shared papers)Huong Muzik (2 shared papers)Donald G. Morris (2 shared papers)R.N. Johnston (2 shared papers)Penny Brasher (2 shared papers)N. B. Rewcastle (2 shared papers)
- Journals
- British Journal of Cancer (2 papers)Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques (1 paper)Neurosurgery (1 paper)Operative Neurosurgery (1 paper)Acta Astronautica (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Garnette Sutherland
8 papers receiving 523 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 235
- Immunology and Allergy 80
- Genetics 65
- Neurology 45
- Oncology 111
Countries citing papers authored by Garnette Sutherland
This map shows the geographic impact of Garnette Sutherland'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 Garnette Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garnette Sutherland more than expected).
Fields of papers citing papers by Garnette Sutherland
This network shows the impact of papers produced by Garnette Sutherland. 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 Garnette Sutherland. The network helps show where Garnette Sutherland may publish in the future.
Co-authors
The 25 scholars most cited alongside Garnette Sutherland, 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 | 1999 | 205 | |
| 2 | 1999 | 182 | |
| 3 | 1999 | 62 | |
| 4 | 1998 | 58 | |
| 5 | 2011 | 11 | |
| 6 | 2012 | 6 | |
| 7 | 2019 | 4 | |
| 8 | 2007 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 0 |
About Garnette Sutherland
Garnette Sutherland is a scholar working on Surgery, Cancer Research, Control and Systems Engineering, Computer Vision and Pattern Recognition and Epidemiology, having authored 10 papers that have together received 530 indexed citations. Recurring topics across this work include Surgical Simulation and Training (2 papers), Protease and Inhibitor Mechanisms (2 papers), Anatomy and Medical Technology (1 paper), Meningioma and schwannoma management (1 paper), Advanced MRI Techniques and Applications (1 paper), Adaptive Control of Nonlinear Systems (1 paper), Cell Adhesion Molecules Research (1 paper) and Spaceflight effects on biology (1 paper). The work is most often cited by research in Cancer Research (235 citations), Immunology and Allergy (80 citations), Genetics (65 citations), Neurology (45 citations) and Oncology (111 citations). Garnette Sutherland has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Dylan R. Edwards, Peter Forsyth, Kevin J. Leco, Huong Muzik, Donald G. Morris, R.N. Johnston, Penny Brasher, N. B. Rewcastle, Randal N. Johnston and Hubert Wong. Their work appears in journals such as British Journal of Cancer, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Neurosurgery, Operative Neurosurgery and Acta Astronautica.
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.