Phil Drew
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Molecular Biology Techniques and Applications 3
- Gene expression and cancer classification 2
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- MRI in cancer diagnosis 2
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Vicky Napp (3 shared papers)Sarah Brown (3 shared papers)Julia Brown (2 shared papers)Catherine Olivier (1 shared paper)Ian Harvey (1 shared paper)Lindsay W. Turnbull (1 shared paper)Andrew M. Hanby (1 shared paper)John Greenman (4 shared papers)
- Journals
- International Journal of Oncology (2 papers)European Journal of Surgical Oncology (2 papers)Journal of Clinical Oncology (1 paper)Health Technology Assessment (1 paper)The Lancet (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Phil Drew
11 papers receiving 626 citations
Phil Drew's Hit Papers
Peers
Comparison fields: 5 of 59
- Cancer Research 298
- Radiology, Nuclear Medicine and Imaging 207
- Pathology and Forensic Medicine 134
- Oncology 83
- Surgery 61
Countries citing papers authored by Phil Drew
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
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 25 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Comparative effectiveness of MRI in breast cancer (COMICE) trial: a randomised controlled trial Hit paper breakdown → | 2010 | 444 |
| 2 | 2010 | 62 | |
| 3 | 2006 | 56 | |
| 4 | 2002 | 38 | |
| 5 | Optimal education techniques for basic surgical trainees: lessons from education theory. | 1999 | 32 |
| 6 | 2001 | 10 | |
| 7 | 2004 | 6 | |
| 8 | 2008 | 5 | |
| 9 | 2007 | 2 | |
| 10 | 2005 | 1 | |
| 11 | 2013 | 1 |
About Phil Drew
Phil Drew is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Oncology and Biotechnology, having authored 11 papers that have together received 657 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), MRI in cancer diagnosis (2 papers), Gene expression and cancer classification (2 papers), Cancer Research and Treatments (2 papers), Breast Cancer Treatment Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (298 citations), Radiology, Nuclear Medicine and Imaging (207 citations), Pathology and Forensic Medicine (134 citations), Oncology (83 citations) and Surgery (61 citations). Phil Drew has collaborated with scholars based in United Kingdom. Frequent co-authors include Vicky Napp, Sarah Brown, Julia Brown, Catherine Olivier, Ian Harvey, Lindsay W. Turnbull, Andrew M. Hanby, John Greenman, Vivek Rao and Charlotte E. Dyer. Their work appears in journals such as International Journal of Oncology, European Journal of Surgical Oncology, Journal of Clinical Oncology, Health Technology Assessment and The Lancet.
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.