Rebecca E. Thornhill
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 10%
- Epidemiology
- Molecular Biology
- Co-authors
- Andrea KassnerNicola SchiedaTrevor A. FloodMatthew D. F. McInnesLeslie R. LambTaryn HodgdonCarole DennieAshish Gupta
- Topics
- Radiomics and Machine Learning in Medical Imaging (22 papers)Advanced MRI Techniques and Applications (18 papers)MRI in cancer diagnosis (16 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
- Pulmonary and Respiratory Medicine 798
- Biomedical Engineering 284
- Epidemiology 233
- Molecular Biology 221
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 of co-authors of Rebecca E. Thornhill
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca E. Thornhill. A scholar is included among the top collaborators of Rebecca E. Thornhill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rebecca E. Thornhill. Rebecca E. Thornhill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 142 | |
| 15 | 9 | |
| 16 | 26 | |
| 17 | 30 | |
| 18 | 18 | |
| 19 | 19 | |
| 20 | 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) and MRI in cancer diagnosis (16 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 SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.