Phil Drew

945 total citations
11 papers, 655 citations indexed

About

Phil Drew is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Phil Drew has authored 11 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cancer Research. Recurrent topics in Phil Drew's work include Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (3 papers) and Breast Cancer Treatment Studies (3 papers). Phil Drew is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (3 papers) and Breast Cancer Treatment Studies (3 papers). Phil Drew collaborates with scholars based in United Kingdom. Phil Drew's co-authors include Vicky Napp, Sarah Brown, Julia Brown, Ian Harvey, Catherine Olivier, Lindsay W. Turnbull, Andrew M. Hanby, John Greenman, Vivek Rao and Charlotte E. Dyer and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Journal of Clinical Pathology.

In The Last Decade

Phil Drew

11 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phil Drew United Kingdom 7 366 354 263 119 95 11 655
Jennifer Chun United States 14 286 0.8× 163 0.5× 220 0.8× 311 2.6× 95 1.0× 46 719
Franziska Kubatzki Italy 13 297 0.8× 236 0.7× 189 0.7× 168 1.4× 180 1.9× 18 603
Amy Cyr United States 16 420 1.1× 98 0.3× 281 1.1× 178 1.5× 246 2.6× 46 607
J. Harold Cheek United States 14 278 0.8× 225 0.6× 276 1.0× 230 1.9× 73 0.8× 23 672
A. Helen Westenberg Netherlands 11 334 0.9× 59 0.2× 189 0.7× 220 1.8× 179 1.9× 19 520
Christopher A. Peters United States 10 161 0.4× 120 0.3× 131 0.5× 132 1.1× 88 0.9× 25 467
I. Verslegers Belgium 11 313 0.9× 519 1.5× 411 1.6× 93 0.8× 77 0.8× 26 757
Fredrika Killander Sweden 12 240 0.7× 63 0.2× 94 0.4× 199 1.7× 47 0.5× 25 411
Cha Kyong Yom South Korea 15 220 0.6× 62 0.2× 166 0.6× 143 1.2× 136 1.4× 23 583
Kathryn A Carolin United States 10 308 0.8× 51 0.1× 219 0.8× 297 2.5× 108 1.1× 11 586

Countries citing papers authored by Phil Drew

Since Specialization
Citations

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

Fields of papers citing papers by Phil Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Drew

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

All Works

11 of 11 papers shown
1.
Agarwal, Vijay, Tapan Mahapatra, Penelope McManus, et al.. (2013). Proteomic identification of putative biomarkers of breast neo-adjuvant chemotherapy resistance. European Journal of Surgical Oncology. 39(5). 480–481. 1 indexed citations
2.
Turnbull, Lindsay W., Sarah Brown, Ian Harvey, et al.. (2010). Comparative effectiveness of MRI in breast cancer (COMICE) trial: a randomised controlled trial. The Lancet. 375(9714). 563–571. 442 indexed citations
4.
Drew, Phil, LW Turnbull, I. Harvey, et al.. (2008). MR Imaging in breast cancer - results of the COMICE trial. European Journal of Surgical Oncology. 34(10). 1156–1156. 5 indexed citations
6.
Rao, Vivek, et al.. (2006). Potential prognostic and therapeutic roles for cytokines in breast cancer (Review). Oncology Reports. 15(1). 179–85. 56 indexed citations
7.
Garimella, Veerabhadram, M. A. Watson, Anne M. Hubbard, et al.. (2005). Correlation of pre-treatment apoptotic marker expression with response to neo-adjuvant chemotherapy in locally advanced breast cancer. Journal of Clinical Oncology. 23(16_suppl). 701–701. 1 indexed citations
8.
Drew, Phil, et al.. (2004). Chromosomal alterations in breast cancer revealed by multicolour fluorescence in situ hybridization. International Journal of Oncology. 25(2). 277–83. 6 indexed citations
9.
Cawkwell, Lynn, et al.. (2002). Karyotypic variation between independently cultured strains of the cell line MCF-7 identified by multicolour fluorescence in situ hybridization. International Journal of Oncology. 20(3). 489–94. 38 indexed citations
10.
Drew, Phil, et al.. (2001). Angiotensin in Cardiac Surgery: Efficacy in Patients on Angiotensin Converting Enzyme Inhibitors. European Journal of Heart Failure. 3(5). 587–592. 10 indexed citations
11.
Drew, Phil, et al.. (1999). Optimal education techniques for basic surgical trainees: lessons from education theory.. PubMed. 44(1). 55–6. 32 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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