Ruth English
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Artificial Intelligence top 10%
- Cancer Research
- Co-authors
- Adrian L. HarrisWilliam S. SlyPeter H. WatsonJaromı́r PastorekStephen ChiaCharles C. WykoffLeticia CampoNigel Beasley
- Topics
- Ultrasound Imaging and Elastography (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)AI in cancer detection (8 papers)
- Journals
- American Journal Of PathologyIEEE Transactions on Medical ImagingJournal of Epidemiology & Community Health
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ruth English
29 papers receiving 762 citations
Peers
Comparison fields: 5 of 91
- Oncology 251
- Radiology, Nuclear Medicine and Imaging 196
- Molecular Biology 194
- Artificial Intelligence 159
- Cancer Research 142
Countries citing papers authored by Ruth English
This map shows the geographic impact of Ruth English'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 Ruth English with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth English more than expected).
Fields of papers citing papers by Ruth English
This network shows the impact of papers produced by Ruth English. 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 Ruth English. The network helps show where Ruth English may publish in the future.
Co-authorship network of co-authors of Ruth English
This figure shows the co-authorship network connecting the top 25 collaborators of Ruth English. A scholar is included among the top collaborators of Ruth English 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 Ruth English. Ruth English is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 38 | |
| 6 | 59 | |
| 7 | 83 | |
| 8 | 23 | |
| 9 | 40 | |
| 10 | 50 | |
| 11 | 111 | |
| 12 | 2 | |
| 13 | 206 | |
| 14 | The use of Magnetic Resonance Imaging to model breast compression in x-ray mammography for MR/x-ray data fusion | 10 |
| 15 | Reconstructing microcalcification clusters in 3-D using a parameterised breast compression model | 1 |
| 16 | Detecting calcifications in mammograms using the h(int) representation | 0 |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 21 | |
| 20 | 8 |
About Ruth English
Ruth English is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence, having authored 31 papers that have together received 802 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Cancer Research (142 citations), Oncology (251 citations) and Radiology, Nuclear Medicine and Imaging (196 citations). Ruth English has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Adrian L. Harris, William S. Sly, Peter H. Watson, Jaromı́r Pastorek, Stephen Chia, Charles C. Wykoff, Leticia Campo, Nigel Beasley, Peter J. Ratcliffe and Emily Banks. Their work appears in journals such as American Journal Of Pathology, IEEE Transactions on Medical Imaging and Journal of Epidemiology & Community Health.
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.