Rebecca E. Thornhill
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- Radiomics and Machine Learning in Medical Imaging 22
- Advanced MRI Techniques and Applications 18
- MRI in cancer diagnosis 16
- Cardiac Imaging and Diagnostics 9
- Equine top 2%
- Health Informatics top 5%
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- Cerebrovascular and Carotid Artery Diseases 10
- Prostate Cancer Diagnosis and Treatment 7
- Genetics top 5%
- Glioma Diagnosis and Treatment 7
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- Acute Ischemic Stroke Management 15
- Co-authors
- Andrea KassnerNicola SchiedaTrevor A. FloodMatthew D. F. McInnesLeslie R. LambTaryn HodgdonCarole DennieAshish Gupta
- Journals
- American Journal of Neuroradiology (7 papers)Journal of Magnetic Resonance Imaging (7 papers)European Radiology (6 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Rebecca E. Thornhill
71 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 121
- Radiology, Nuclear Medicine and Imaging 1.3k
- Equine 65
- Health Informatics 45
- Pulmonary and Respiratory Medicine 798
- Genetics 207
Countries citing papers authored by Rebecca E. Thornhill
This map shows the geographic impact of Rebecca E. Thornhill'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 Rebecca E. Thornhill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca E. Thornhill more than expected).
Fields of papers citing papers by Rebecca E. Thornhill
This network shows the impact of papers produced by Rebecca E. Thornhill. 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 Rebecca E. Thornhill. The network helps show where Rebecca E. Thornhill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rebecca E. Thornhill, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 11 | |
| 11 | 2016 | 18 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 21 | |
| 14 | 2014 | 142 | |
| 15 | 2012 | 9 | |
| 16 | 2010 | 26 | |
| 17 | 2009 | 30 | |
| 18 | 2006 | 18 | |
| 19 | 2001 | 19 | |
| 20 | 2000 | 77 |
About Rebecca E. Thornhill
Rebecca E. Thornhill is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), Advanced MRI Techniques and Applications (18 papers), MRI in cancer diagnosis (16 papers), Acute Ischemic Stroke Management (15 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Cardiac Imaging and Diagnostics (9 papers), Glioma Diagnosis and Treatment (7 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Equine (65 citations) and Health Informatics (45 citations). Rebecca E. Thornhill has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Andrea Kassner, Nicola Schieda, Trevor A. Flood, Matthew D. F. McInnes, Leslie R. Lamb, Taryn Hodgdon, Carole Dennie, Ashish Gupta, Carolina A. Souza and Hamid Bayanati. Their work appears in journals such as American Journal of Neuroradiology, Journal of Magnetic Resonance Imaging, European Radiology, American Journal of Roentgenology and Magnetic Resonance in Medicine.
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.