Ruth Warren
Impact in
- Cancer Research top 0.5%
- Breast Cancer Treatment Studies
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 60
- Global Cancer Incidence and Screening 52
- Cancer Risks and Factors 20
-
- Breast Cancer Treatment Studies 27
- Co-authors
- Jane WarwickStephen W. DuffyJack CuzickElizabeth PinneyPetra MacaskillStefano CiattoNehmat HoussamiJ. Michael Dixon
- Journals
- Breast Cancer Research (11 papers)Clinical Radiology (7 papers)Cancer Epidemiology Biomarkers & Prevention (7 papers)The Breast (7 papers)British Journal of Radiology (5 papers)
- Partner nations
- United KingdomAustraliaNew Zealand
In The Last Decade
Ruth Warren
107 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 1.8k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Oncology 2.4k
- Pathology and Forensic Medicine 1.4k
- Pulmonary and Respiratory Medicine 2.1k
Countries citing papers authored by Ruth Warren
This map shows the geographic impact of Ruth Warren'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 Warren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Warren more than expected).
Fields of papers citing papers by Ruth Warren
This network shows the impact of papers produced by Ruth Warren. 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 Warren. The network helps show where Ruth Warren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruth Warren, 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 | 2020 | 18 | |
| 2 | 2013 | 12 | |
| 3 | 2012 | 93 | |
| 4 | 2012 | 18 | |
| 5 | 2011 | 304 | |
| 6 | Final results and exploitation plans for MammoGrid. | 2006 | 1 |
| 7 | 2006 | 43 | |
| 8 | 2005 | 88 | |
| 9 | 2004 | 263 | |
| 10 | 2004 | 2 | |
| 11 | 2004 | 60 | |
| 12 | 2004 | 116 | |
| 13 | 2003 | 17 | |
| 14 | 2001 | 9 | |
| 15 | 2000 | 14 | |
| 16 | 2000 | 19 | |
| 17 | 1999 | 50 | |
| 18 | 1999 | 74 | |
| 19 | 1996 | 112 | |
| 20 | 1988 | 20 |
About Ruth Warren
Ruth Warren is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 107 papers that have together received 5.6k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (52 papers), Digital Radiography and Breast Imaging (45 papers), Breast Lesions and Carcinomas (29 papers), AI in cancer detection (28 papers), Breast Cancer Treatment Studies (27 papers), Cancer Risks and Factors (20 papers), MRI in cancer diagnosis (19 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Cancer Research (1.8k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations), Oncology (2.4k citations), Pathology and Forensic Medicine (1.4k citations) and Pulmonary and Respiratory Medicine (2.1k citations). Ruth Warren has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Jane Warwick, Stephen W. Duffy, Jack Cuzick, Elizabeth Pinney, Petra Macaskill, Stefano Ciatto, Nehmat Houssami, J. Michael Dixon, Sarah J. Lord and Les Irwig. Their work appears in journals such as Breast Cancer Research, Clinical Radiology, Cancer Epidemiology Biomarkers & Prevention, The Breast and British Journal of Radiology.
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.