Ed Dicks

30.9k total citations
15 papers, 1.2k citations indexed

About

Ed Dicks is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Ed Dicks has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 7 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Ed Dicks's work include BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (5 papers) and Breast Cancer Treatment Studies (4 papers). Ed Dicks is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (5 papers) and Breast Cancer Treatment Studies (4 papers). Ed Dicks collaborates with scholars based in United Kingdom, United States and South Sudan. Ed Dicks's co-authors include Michael R. Stratton, Paul D.P. Pharoah, P. Andrew Futreal, Matthew J. Blow, Richard Wooster, Anton J. Enright, Stijn van Dongen, Gordon Wishart, Peter J. Campbell and Ian Goodhead and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Ed Dicks

15 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ed Dicks United Kingdom 12 582 578 358 309 158 15 1.2k
Karin Kast Germany 15 394 0.7× 400 0.7× 361 1.0× 556 1.8× 98 0.6× 52 1.1k
Susanna L. Cooke United Kingdom 16 583 1.0× 481 0.8× 473 1.3× 165 0.5× 337 2.1× 21 1.3k
Monika Graeser Germany 13 337 0.6× 462 0.8× 445 1.2× 355 1.1× 64 0.4× 46 929
S Bose United States 15 773 1.3× 237 0.4× 335 0.9× 289 0.9× 121 0.8× 26 1.4k
Christina I. Herold United States 11 388 0.7× 461 0.8× 770 2.2× 325 1.1× 106 0.7× 26 1.3k
Marcin Krzystanek Denmark 15 733 1.3× 611 1.1× 753 2.1× 209 0.7× 71 0.4× 21 1.4k
Victoria Sopik Canada 21 371 0.6× 825 1.4× 719 2.0× 400 1.3× 230 1.5× 37 1.6k
Meredith Mills United States 16 454 0.8× 539 0.9× 300 0.8× 971 3.1× 75 0.5× 32 1.5k
Angela George United Kingdom 17 412 0.7× 307 0.5× 564 1.6× 596 1.9× 331 2.1× 60 1.2k
Nils Weinhold United States 12 810 1.4× 384 0.7× 282 0.8× 194 0.6× 45 0.3× 19 1.2k

Countries citing papers authored by Ed Dicks

Since Specialization
Citations

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

Fields of papers citing papers by Ed Dicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Dicks

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

All Works

15 of 15 papers shown
1.
Ezquina, Suzana, Ed Dicks, Pei-Chen Peng, et al.. (2024). Rare germline genetic variation in PAX8 transcription factor binding sites and susceptibility to epithelial ovarian cancer. American Journal of Epidemiology. 194(4). 1023–1031. 1 indexed citations
2.
Offord, Victoria, Yajie Zhao, Hong Kee Tan, et al.. (2024). High-resolution functional mapping of RAD51C by saturation genome editing. Cell. 187(20). 5719–5734.e19. 13 indexed citations
3.
Dicks, Ed, et al.. (2022). Long-term trends in the epidemiology of cardiovascular diseases in the UK: insights from the British Heart Foundation statistical compendium. Cardiovascular Research. 118(10). 2267–2280. 20 indexed citations
4.
Reis, Francisco José Cândido dos, Gordon Wishart, Ed Dicks, et al.. (2017). An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation. Breast Cancer Research. 19(1). 58–58. 165 indexed citations
5.
Maishman, Tom, Ellen Copson, Louise Stanton, et al.. (2015). An evaluation of the prognostic model PREDICT using the POSH cohort of women aged ⩽40 years at breast cancer diagnosis. British Journal of Cancer. 112(6). 983–991. 30 indexed citations
6.
Jervis, Sarah, Honglin Song, Andrew Lee, et al.. (2015). A risk prediction algorithm for ovarian cancer incorporating BRCA1, BRCA2, common alleles and other familial effects. Journal of Medical Genetics. 52(7). 465–475. 45 indexed citations
7.
Song, Honglin, Mine Cicek, Ed Dicks, et al.. (2014). The contribution of deleterious germline mutations in BRCA1, BRCA2 and the mismatch repair genes to ovarian cancer in the population. Human Molecular Genetics. 23(17). 4703–4709. 91 indexed citations
8.
Cunningham, Julie M., Nicholas B. Larson, Jaime Davila, et al.. (2014). Clinical Characteristics of Ovarian Cancer Classified by BRCA1, BRCA2 and RAD51C Status. Scientific Reports. 4(1). 4026–4026. 111 indexed citations
9.
Jervis, Sarah, Honglin Song, Andrew Lee, et al.. (2013). Ovarian cancer familial relative risks by tumour subtypes and by known ovarian cancer genetic susceptibility variants. Journal of Medical Genetics. 51(2). 108–113. 43 indexed citations
10.
Wishart, Gordon, Chris Bajdik, Ed Dicks, Elena Provenzano, & Paul D.P. Pharoah. (2012). PREDICT Plus: a population-based validation of a prognostic model for early breast cancer that includes HER2. The Breast. 21(2). 151–151. 3 indexed citations
11.
Wishart, Gordon, Chris Bajdik, Elizabeth M. Azzato, et al.. (2011). A population-based validation of the prognostic model PREDICT for early breast cancer. European Journal of Surgical Oncology. 37(5). 411–417. 88 indexed citations
12.
Campbell, Peter J., Erin Pleasance, Philip J. Stephens, et al.. (2008). Subclonal phylogenetic structures in cancer revealed by ultra-deep sequencing. Proceedings of the National Academy of Sciences. 105(35). 13081–13086. 263 indexed citations
13.
Dicks, Ed, Jon W. Teague, Philip Stephens, et al.. (2007). AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes. Bioinformatics. 23(13). 1689–1691. 8 indexed citations
14.
Davies, Helen, Ed Dicks, Philip Stephens, et al.. (2006). High throughput DNA sequence variant detection by conformation sensitive capillary electrophoresis and automated peak comparison. Genomics. 87(3). 427–432. 32 indexed citations
15.
Blow, Matthew J., Stijn van Dongen, Anton J. Enright, et al.. (2006). RNA editing of human microRNAs. Genome biology. 7(4). R27–R27. 266 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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