Ursula Beetles
Impact in
- Oncology top 10%
- Global Cancer Incidence and Screening
- Cancer Risks and Factors
- Colorectal Cancer Screening and Detection
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
- Oncology 12
- Global Cancer Incidence and Screening 11
- Cancer Risks and Factors 4
-
- Digital Radiography and Breast Imaging 11
- Co-authors
- Mary Wilson (14 shared papers)Susan Astley (12 shared papers)Jack Cuzick (8 shared papers)Jamie C. Sergeant (8 shared papers)D. Gareth Evans (11 shared papers)Anthony Howell (10 shared papers)Paula Stavrinos (8 shared papers)Michelle Harvie (5 shared papers)
- Journals
- Breast Cancer Research (8 papers)Cancer Research (2 papers)British Journal of Cancer (1 paper)British Journal of Radiology (1 paper)Journal of Internal Medicine (1 paper)
- Partner nations
- United KingdomCanadaNetherlands
In The Last Decade
Ursula Beetles
16 papers receiving 517 citations
Peers
Comparison fields: 5 of 36
- Oncology 391
- Artificial Intelligence 242
- Pulmonary and Respiratory Medicine 231
- Genetics 183
- Health Informatics 7
Countries citing papers authored by Ursula Beetles
This map shows the geographic impact of Ursula Beetles'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 Ursula Beetles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Beetles more than expected).
Fields of papers citing papers by Ursula Beetles
This network shows the impact of papers produced by Ursula Beetles. 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 Ursula Beetles. The network helps show where Ursula Beetles may publish in the future.
Co-authors
The 25 scholars most cited alongside Ursula Beetles, 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 | 2015 | 175 | |
| 2 | 2012 | 93 | |
| 3 | 2018 | 80 | |
| 4 | 2016 | 71 | |
| 5 | 2008 | 37 | |
| 6 | 2012 | 26 | |
| 7 | 2013 | 11 | |
| 8 | 2015 | 9 | |
| 9 | 2008 | 7 | |
| 10 | 2013 | 6 | |
| 11 | 2011 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2013 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2013 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2004 | 0 |
About Ursula Beetles
Ursula Beetles is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 531 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (11 papers), Digital Radiography and Breast Imaging (11 papers), AI in cancer detection (10 papers), Cancer Risks and Factors (4 papers), BRCA gene mutations in cancer (3 papers), Medical Imaging Techniques and Applications (3 papers), Ethics in Clinical Research (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Oncology (391 citations), Artificial Intelligence (242 citations), Pulmonary and Respiratory Medicine (231 citations), Genetics (183 citations) and Health Informatics (7 citations). Ursula Beetles has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include Mary Wilson, Susan Astley, Jack Cuzick, Jamie C. Sergeant, D. Gareth Evans, Anthony Howell, Paula Stavrinos, Michelle Harvie, Elaine F. Harkness and Adam R. Brentnall. Their work appears in journals such as Breast Cancer Research, Cancer Research, British Journal of Cancer, British Journal of Radiology and Journal of Internal 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.