Phil Drew

10 papers receiving 667 citations

Phil Drew's Hit Papers

Comparative effectiveness of MRI in breast cancer (COMICE) trial: a randomised controlled trial 2010 · 501 citations
5010+5+10Years since publication100200300400500

Peers

Phil Drew
Comparison fields: 5 of 48
  • Radiology, Nuclear Medicine and Imaging 377
  • Cancer Research 152
  • Pathology and Forensic Medicine 105
  • Oncology 50
  • Pulmonary and Respiratory Medicine 54
Replace J. Harold Cheek with:
J. Harold Cheek United States
Monica L. Huang United States
Enrique Añorbe Spain
A.P.E. Besnard Netherlands
Supriya R. Kulkarni Canada
Martine Boisserie-Lacroix France
F. P. O’Malley Canada
A Cilotti Italy
Lee Joseph McGhan United States
Cecilia L. Mercado United States
Phil Drew relative to J. Harold Cheek United States J. Harold Cheek's profile →
Citations per field
00.5×2×4×6×8×9.3×
J. Harold Cheek · 1×
Citations per year

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-authors

The 20 scholars most cited alongside Phil Drew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phil Drew Line = papers co-authored together Phil Drew links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Comparative effectiveness of MRI in breast cancer (COMICE) trial: a randomised controlled trial
Hit paper breakdown →
2010501
2 201070
3 200658
4 200238
5
Optimal education techniques for basic surgical trainees: lessons from education theory.
199932
6 200114
7 20045
8 20085
9 20073
10 20131

About Phil Drew

Phil Drew is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Genetics, Developmental and Educational Psychology and Surgery, having authored 10 papers that have together received 727 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Breast Cancer Treatment Studies (2 papers), Innovations in Medical Education (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Surgical Simulation and Training (1 paper) and Learning Styles and Cognitive Differences (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (377 citations), Cancer Research (152 citations), Pathology and Forensic Medicine (105 citations), Oncology (50 citations) and Pulmonary and Respiratory Medicine (54 citations). Phil Drew has collaborated with scholars based in United Kingdom. Frequent co-authors include Sarah Brown, Vicky Napp, Ian Harvey, Julia M. Brown, Lindsay W. Turnbull, Andrew M. Hanby, John Greenman, Charlotte E. Dyer, LW Turnbull and Lynn Cawkwell. Their work appears in journals such as International Journal of Oncology, European Journal of Surgical Oncology, The Lancet, Health Technology Assessment and Journal of Clinical Pathology.

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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