Sara Bundred

461 total citations
9 papers, 295 citations indexed

About

Sara Bundred is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology. According to data from OpenAlex, Sara Bundred has authored 9 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Artificial Intelligence and 5 papers in Oncology. Recurrent topics in Sara Bundred's work include Digital Radiography and Breast Imaging (7 papers), AI in cancer detection (6 papers) and Global Cancer Incidence and Screening (4 papers). Sara Bundred is often cited by papers focused on Digital Radiography and Breast Imaging (7 papers), AI in cancer detection (6 papers) and Global Cancer Incidence and Screening (4 papers). Sara Bundred collaborates with scholars based in United Kingdom. Sara Bundred's co-authors include Mary Wilson, Yit Yoong Lim, Susan Astley, Ursula Beetles, Soujanya Gadde, Anthony Howell, D. Gareth Evans, Jamie C. Sergeant, Jack Cuzick and Elaine F. Harkness and has published in prestigious journals such as Cancer Research, Breast Cancer Research and Treatment and Breast Cancer Research.

In The Last Decade

Sara Bundred

9 papers receiving 283 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Bundred United Kingdom 6 202 161 142 73 73 9 295
Soujanya Gadde United Kingdom 7 216 1.1× 167 1.0× 148 1.0× 87 1.2× 78 1.1× 12 337
Valerie Reece United Kingdom 4 184 0.9× 141 0.9× 121 0.9× 65 0.9× 73 1.0× 6 279
Ursula Beetles United Kingdom 8 391 1.9× 242 1.5× 231 1.6× 99 1.4× 183 2.5× 17 531
Lynne Fox United Kingdom 3 210 1.0× 92 0.6× 82 0.6× 41 0.6× 117 1.6× 4 269
Koji Ohnuki Japan 10 248 1.2× 75 0.5× 87 0.6× 50 0.7× 51 0.7× 54 382
Iqbal Warsi United Kingdom 9 129 0.6× 165 1.0× 224 1.6× 153 2.1× 43 0.6× 11 359
Fang-Fang Wu United States 9 170 0.8× 190 1.2× 231 1.6× 91 1.2× 14 0.2× 10 310
Stéphanie V. de Lange Netherlands 4 204 1.0× 130 0.8× 198 1.4× 247 3.4× 34 0.5× 10 486
Robert A Smith United States 3 270 1.3× 120 0.7× 94 0.7× 96 1.3× 40 0.5× 4 410
Hilde Bjørndal Norway 9 225 1.1× 240 1.5× 294 2.1× 171 2.3× 23 0.3× 11 432

Countries citing papers authored by Sara Bundred

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sara Bundred

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Bundred. A scholar is included among the top collaborators of Sara Bundred 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 Sara Bundred. Sara Bundred is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Astley, Susan, Elaine F. Harkness, Jamie C. Sergeant, et al.. (2018). A comparison of five methods of measuring mammographic density: a case-control study. Breast Cancer Research. 20(1). 10–10. 80 indexed citations
2.
Brentnall, Adam R., Elaine F. Harkness, Susan Astley, et al.. (2015). Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Research. 17(1). 147–147. 175 indexed citations
3.
Bundred, Sara, Anthony Maxwell, Julie Morris, et al.. (2015). Randomized controlled trial of stereotactic 11-G vacuum-assisted core biopsy for the diagnosis and management of mammographic microcalcification. British Journal of Radiology. 89(1058). 20150504–20150504. 7 indexed citations
4.
Lim, Yit Yoong, Anthony Maxwell, Ursula Beetles, et al.. (2015). Digital breast tomosynthesis at screening assessment: are two views always necessary?. British Journal of Radiology. 88(1055). 20150353–20150353. 9 indexed citations
5.
Wilson, Mary, Ursula Beetles, Caroline Boggis, et al.. (2013). PB.17: Inter-observer agreement in visual analogue scale assessment of percentage breast density. Breast Cancer Research. 15(S1). 3 indexed citations
6.
Sergeant, Jamie C., Mary Wilson, Ursula Beetles, et al.. (2013). Same task, same observers, different values: the problem with visual assessment of breast density. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8673. 86730T–86730T. 11 indexed citations
7.
Bundred, Sara, Jin Zhou, Sigrid Whiteside, et al.. (2013). Impact of full-field digital mammography on pre-operative diagnosis and surgical treatment of mammographic microcalcification. Breast Cancer Research and Treatment. 143(2). 359–366. 7 indexed citations
8.
Maxwell, Anthony, Ursula Beetles, Sara Bundred, et al.. (2013). PB.18: Factors affecting breast density assessment. Breast Cancer Research. 15(S1). 1 indexed citations
9.

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.

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