Sara Bundred

19 total papers · 456 total citations
9 papers, 294 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 294 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, Jamie C. Sergeant, Anthony Howell, Soujanya Gadde, D. Gareth Evans, Valerie Reece and Paula Stavrinos 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 282 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Bundred 201 160 142 73 72 9 294
Soujanya Gadde 215 1.1× 166 1.0× 148 1.0× 78 1.1× 86 1.2× 12 336
Valerie Reece 183 0.9× 140 0.9× 121 0.9× 73 1.0× 64 0.9× 6 278
Michael C. S. Bissell 253 1.3× 97 0.6× 108 0.8× 66 0.9× 59 0.8× 15 349
Pål Suhrke 160 0.8× 129 0.8× 156 1.1× 27 0.4× 85 1.2× 12 315
Iqbal Warsi 129 0.6× 165 1.0× 224 1.6× 43 0.6× 153 2.1× 11 359
Amanda Dibden 202 1.0× 85 0.5× 60 0.4× 24 0.3× 71 1.0× 9 336
Fang-Fang Wu 169 0.8× 188 1.2× 231 1.6× 14 0.2× 90 1.3× 10 308
I S Simor 142 0.7× 136 0.8× 160 1.1× 22 0.3× 82 1.1× 8 316
Michael E. Pyle 99 0.5× 38 0.2× 77 0.5× 50 0.7× 53 0.7× 11 278
Gek Kwan-Lim 99 0.5× 75 0.5× 122 0.9× 87 1.2× 181 2.5× 7 343

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

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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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