Adrian Bickerstaffe

2.8k total citations · 1 hit paper
29 papers, 1.9k citations indexed

About

Adrian Bickerstaffe is a scholar working on Oncology, Genetics and General Health Professions. According to data from OpenAlex, Adrian Bickerstaffe has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 13 papers in Genetics and 7 papers in General Health Professions. Recurrent topics in Adrian Bickerstaffe's work include Global Cancer Incidence and Screening (15 papers), BRCA gene mutations in cancer (11 papers) and Colorectal Cancer Screening and Detection (6 papers). Adrian Bickerstaffe is often cited by papers focused on Global Cancer Incidence and Screening (15 papers), BRCA gene mutations in cancer (11 papers) and Colorectal Cancer Screening and Detection (6 papers). Adrian Bickerstaffe collaborates with scholars based in Australia, United Kingdom and United States. Adrian Bickerstaffe's co-authors include James G. Dowty, Graham G. Giles, Tim Cain, Paul McGale, John D. Mathews, Tenniel Guiver, Anna Forsythe, Marcus W. Butler, Zoe Brady and P. R. Anderson and has published in prestigious journals such as Bioinformatics, American Journal of Epidemiology and BMJ.

In The Last Decade

Adrian Bickerstaffe

29 papers receiving 1.8k citations

Hit Papers

Cancer risk in 680 000 people exposed to computed tomogra... 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian Bickerstaffe Australia 14 1.0k 345 304 289 273 29 1.9k
Marcus W. Butler Ireland 18 1.1k 1.0× 355 1.0× 107 0.4× 361 1.2× 639 2.3× 51 2.4k
James G. Dowty Australia 21 1.1k 1.0× 343 1.0× 765 2.5× 401 1.4× 354 1.3× 46 3.0k
Anna Forsythe United States 10 1.1k 1.0× 347 1.0× 128 0.4× 519 1.8× 284 1.0× 25 2.0k
Tenniel Guiver Australia 5 1.0k 1.0× 344 1.0× 69 0.2× 296 1.0× 241 0.9× 6 1.6k
Zoe Brady Australia 12 1.3k 1.2× 450 1.3× 82 0.3× 316 1.1× 269 1.0× 22 1.7k
Nicola Howe United Kingdom 6 1.8k 1.7× 614 1.8× 82 0.3× 572 2.0× 435 1.6× 13 2.8k
N. Reed Dunnick United States 26 1.0k 1.0× 229 0.7× 256 0.8× 383 1.3× 468 1.7× 96 2.0k
Jane A Salotti United Kingdom 12 2.1k 2.0× 699 2.0× 125 0.4× 668 2.3× 501 1.8× 17 3.2k
Katherine E. Maturen United States 30 1.1k 1.0× 326 0.9× 306 1.0× 736 2.5× 621 2.3× 142 3.4k
Philip W. Wiest United States 10 714 0.7× 372 1.1× 170 0.6× 266 0.9× 265 1.0× 15 1.4k

Countries citing papers authored by Adrian Bickerstaffe

Since Specialization
Citations

This map shows the geographic impact of Adrian Bickerstaffe'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 Adrian Bickerstaffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Bickerstaffe more than expected).

Fields of papers citing papers by Adrian Bickerstaffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian Bickerstaffe. 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 Adrian Bickerstaffe. The network helps show where Adrian Bickerstaffe may publish in the future.

Co-authorship network of co-authors of Adrian Bickerstaffe

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

All Works

20 of 20 papers shown
1.
Milton, Shakira, Jon Emery, Adrian Bickerstaffe, et al.. (2022). Exploring a novel method for optimising the implementation of a colorectal cancer risk prediction tool into primary care: a qualitative study. Implementation Science. 17(1). 31–31. 8 indexed citations
2.
Collins, Ian, Mathias Bressel, Phyllis Butow, et al.. (2018). The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing. JMIR Formative Research. 2(2). e24–e24. 13 indexed citations
3.
Makalic, Enes, et al.. (2018). An open-source, integrated pedigree data management and visualization tool for genetic epidemiology. International Journal of Epidemiology. 47(4). 1034–1039. 4 indexed citations
4.
Weideman, Prue C., Phyllis Butow, Ian Collins, et al.. (2018). Consumer and clinician perspectives on personalising breast cancer prevention information. The Breast. 43. 39–47. 22 indexed citations
5.
Walker, Jennifer, Adrian Bickerstaffe, Marie Pirotta, et al.. (2018). The CRISP-Q study: Communicating the risks and benefits of colorectal cancer screening. Australian Journal of General Practice. 47(3). 139–144. 14 indexed citations
6.
7.
Malta, Sue, et al.. (2018). Could an online or digital aid facilitate discussions about sexual health with older Australians in general practice?. Australian Journal of General Practice. 47(12). 870–875. 6 indexed citations
8.
Phillips, Kelly‐Anne, Mathias Bressel, Ian Collins, et al.. (2018). Acceptability and usability of iPrevent, a web-based decision support tool for assessment and management of breast cancer risk. Apollo (University of Cambridge). 78(4). 1 indexed citations
10.
Walker, Jennifer, Adrian Bickerstaffe, James G. Dowty, et al.. (2017). The CRISP colorectal cancer risk prediction tool: an exploratory study using simulated consultations in Australian primary care. BMC Medical Informatics and Decision Making. 17(1). 13–13. 28 indexed citations
11.
Collins, Ian, Adrian Bickerstaffe, Louise Keogh, et al.. (2016). iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management. Breast Cancer Research and Treatment. 156(1). 171–182. 26 indexed citations
12.
Nguyen, Tuong L., Ye Kyaw Aung, C. F. Evans, et al.. (2016). Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk. International Journal of Epidemiology. 46(2). dyw212–dyw212. 26 indexed citations
13.
Collins, Ian, G. Bruce Mann, Jon Emery, et al.. (2014). Assessing and managing breast cancer risk: Clinicians' current practice and future needs. The Breast. 23(5). 644–650. 41 indexed citations
14.
MacInnis, Robert J., Adrian Bickerstaffe, Carmel Apicella, et al.. (2013). Prospective validation of the breast cancer risk prediction model BOADICEA and a batch-mode version BOADICEACentre. British Journal of Cancer. 109(5). 1296–1301. 36 indexed citations
15.
Meiser, Bettina, Melanie A. Price, Phyllis Butow, et al.. (2013). Misperceptions of ovarian cancer risk in women at increased risk for hereditary ovarian cancer. Familial Cancer. 13(2). 153–162. 5 indexed citations
16.
Mathews, John D., Anna Forsythe, Zoe Brady, et al.. (2013). Cancer risk in 680 000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians. BMJ. 346(may21 1). f2360–f2360. 1429 indexed citations breakdown →
17.
Dite, Gillian S., Maryam Mahmoodi, Adrian Bickerstaffe, et al.. (2013). Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model. Breast Cancer Research and Treatment. 139(3). 887–896. 33 indexed citations
18.
Reumann, Matthias, Enes Makalic, Benjamin Goudey, et al.. (2012). Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results. PubMed. 426. 1258–1261. 4 indexed citations
19.
MacInnis, Robert J., Gillian S. Dite, Adrian Bickerstaffe, et al.. (2012). Validation study of risk prediction models for female relatives of Australian women with breast cancer. Hereditary Cancer in Clinical Practice. 10(Suppl 2). A66–A66. 2 indexed citations
20.
Bickerstaffe, Adrian & Ingrid Zukerman. (2010). A Hierarchical Classifier Applied to Multi-way Sentiment Detection. International Conference on Computational Linguistics. 62–70. 16 indexed citations

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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