Cameron Shaw
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
- Health Information Management top 10%
- Electronic Health Records Systems
Papers in
-
- Multiple Sclerosis Research Studies 8
- Co-authors
- Karen M. Dwyer (1 shared paper)Helmut Butzkueven (3 shared papers)Jeannette Lechner‐Scott (5 shared papers)Steve Vucic (3 shared papers)Mark Slee (2 shared papers)Michael Barnett (3 shared papers)Clemens Scott Kruse (1 shared paper)Michael Mileski (1 shared paper)
- Journals
- Multiple Sclerosis and Related Disorders (2 papers)Multiple Sclerosis Journal (2 papers)Journal of Medical Internet Research (1 paper)Functional Ecology (1 paper)PLoS ONE (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Cameron Shaw
16 papers receiving 208 citations
Peers
Comparison fields: 5 of 59
- Pathology and Forensic Medicine 97
- Health Information Management 12
- General Dentistry 4
- Health Informatics 3
- Anatomy 2
Countries citing papers authored by Cameron Shaw
This map shows the geographic impact of Cameron Shaw'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 Cameron Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron Shaw more than expected).
Fields of papers citing papers by Cameron Shaw
This network shows the impact of papers produced by Cameron Shaw. 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 Cameron Shaw. The network helps show where Cameron Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Cameron Shaw, 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 | 2013 | 40 | |
| 2 | 2020 | 32 | |
| 3 | 2022 | 32 | |
| 4 | 2020 | 31 | |
| 5 | 2017 | 26 | |
| 6 | 2020 | 17 | |
| 7 | Invasive streptococcal disease in British Columbia. | 1990 | 7 |
| 8 | 2024 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 2 | |
| 13 | 2009 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Cameron Shaw
Cameron Shaw is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Neurology, Epidemiology and Rheumatology, having authored 19 papers that have together received 213 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Peripheral Neuropathies and Disorders (2 papers), Simulation-Based Education in Healthcare (1 paper), Healthcare cost, quality, practices (1 paper), Infection Control and Ventilation (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), Streptococcal Infections and Treatments (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (97 citations), Health Information Management (12 citations), General Dentistry (4 citations), Health Informatics (3 citations) and Anatomy (2 citations). Cameron Shaw has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Karen M. Dwyer, Helmut Butzkueven, Jeannette Lechner‐Scott, Steve Vucic, Mark Slee, Michael Barnett, Clemens Scott Kruse, Michael Mileski, Danny Liew and Vilija Jokubaitis. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Journal of Medical Internet Research, Functional Ecology and PLoS ONE.
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.