Sara Bundred
Impact in
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- Global Cancer Incidence and Screening
- Cancer Risks and Factors
- Colorectal Cancer Screening and Detection
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- Digital Radiography and Breast Imaging 7
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- AI in cancer detection 6
- Co-authors
- Mary Wilson (6 shared papers)Yit Yoong Lim (5 shared papers)Susan Astley (4 shared papers)Ursula Beetles (6 shared papers)Anthony Howell (5 shared papers)Jamie C. Sergeant (3 shared papers)D. Gareth Evans (5 shared papers)Soujanya Gadde (4 shared papers)
- Journals
- Breast Cancer Research (4 papers)British Journal of Radiology (2 papers)Breast Cancer Research and Treatment (1 paper)Cancer Research (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Sara Bundred
9 papers receiving 283 citations
Peers
Comparison fields: 5 of 25
- Oncology 202
- Artificial Intelligence 161
- Health Informatics 6
- Pulmonary and Respiratory Medicine 142
- Cancer Research 48
Countries citing papers authored by Sara Bundred
This map shows the geographic impact of Sara Bundred'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 Sara Bundred with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Bundred more than expected).
Fields of papers citing papers by Sara Bundred
This network shows the impact of papers produced by Sara Bundred. 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 Sara Bundred. The network helps show where Sara Bundred may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Bundred, 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 | 2018 | 80 | |
| 3 | 2013 | 11 | |
| 4 | 2015 | 9 | |
| 5 | 2015 | 7 | |
| 6 | 2013 | 7 | |
| 7 | 2013 | 3 | |
| 8 | 2012 | 2 | |
| 9 | 2013 | 1 |
About Sara Bundred
Sara Bundred is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 9 papers that have together received 295 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (7 papers), AI in cancer detection (6 papers), Global Cancer Incidence and Screening (4 papers), Breast Cancer Treatment Studies (2 papers), Breast Lesions and Carcinomas (2 papers), Estrogen and related hormone effects (1 paper), Medical Imaging Techniques and Applications (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Oncology (202 citations), Artificial Intelligence (161 citations), Health Informatics (6 citations), Pulmonary and Respiratory Medicine (142 citations) and Cancer Research (48 citations). Sara Bundred has collaborated with scholars based in United Kingdom. Frequent co-authors include Mary Wilson, Yit Yoong Lim, Susan Astley, Ursula Beetles, Anthony Howell, Jamie C. Sergeant, D. Gareth Evans, Soujanya Gadde, Elaine F. Harkness and Adam R. Brentnall. Their work appears in journals such as Breast Cancer Research, British Journal of Radiology, Breast Cancer Research and Treatment, Cancer Research and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.