Colm Elliott
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 10%
- Peripheral Neuropathies and Disorders
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Multiple Sclerosis Research Studies 21
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- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Douglas L. Arnold (33 shared papers)Shibeshih Belachew (17 shared papers)Corrado Bernasconi (6 shared papers)Ludwig Kappos (3 shared papers)Jerry S. Wolinsky (3 shared papers)Stephen L. Hauser (3 shared papers)Frederik Barkhof (3 shared papers)D. Louis Collins (4 shared papers)
- Journals
- Neurology (10 papers)Multiple Sclerosis Journal (6 papers)Brain (2 papers)American Journal of Obstetrics and Gynecology (2 papers)American Journal of Neuroradiology (2 papers)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Colm Elliott
34 papers receiving 793 citations
Peers
Comparison fields: 5 of 74
- Pathology and Forensic Medicine 508
- Neurology 77
- Developmental Neuroscience 30
- Neurology 96
- Rheumatology 68
Countries citing papers authored by Colm Elliott
This map shows the geographic impact of Colm Elliott'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 Colm Elliott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colm Elliott more than expected).
Fields of papers citing papers by Colm Elliott
This network shows the impact of papers produced by Colm Elliott. 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 Colm Elliott. The network helps show where Colm Elliott may publish in the future.
Co-authors
The 25 scholars most cited alongside Colm Elliott, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 158 | |
| 2 | 2019 | 149 | |
| 3 | 2009 | 71 | |
| 4 | 2013 | 60 | |
| 5 | 2023 | 44 | |
| 6 | 2017 | 42 | |
| 7 | 2022 | 35 | |
| 8 | 2020 | 33 | |
| 9 | 2019 | 33 | |
| 10 | 1968 | 25 | |
| 11 | 2018 | 23 | |
| 12 | 2024 | 21 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 14 | |
| 15 | 2010 | 13 | |
| 16 | 2023 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2018 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 5 |
About Colm Elliott
Colm Elliott is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Epidemiology, having authored 38 papers that have together received 810 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (21 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), RNA regulation and disease (4 papers), Gene expression and cancer classification (3 papers), Brain Tumor Detection and Classification (3 papers), Systemic Lupus Erythematosus Research (3 papers), Polyomavirus and related diseases (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (508 citations), Neurology (77 citations), Developmental Neuroscience (30 citations), Neurology (96 citations) and Rheumatology (68 citations). Colm Elliott has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Douglas L. Arnold, Shibeshih Belachew, Corrado Bernasconi, Ludwig Kappos, Jerry S. Wolinsky, Stephen L. Hauser, Frederik Barkhof, D. Louis Collins, Tal Arbel and Emily Hamilton. Their work appears in journals such as Neurology, Multiple Sclerosis Journal, Brain, American Journal of Obstetrics and Gynecology and American Journal of Neuroradiology.
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.