LW Turnbull
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research
- Pathology and Forensic Medicine top 10%
- Surgery
- Obstetrics and Gynecology top 10%
- Co-authors
- PJ DrewM. LowryD J MantonDaniel J. TozerAnne M. HubbardJohn R.T. MonsonMichael LindA. Chaturvedi
- Topics
- MRI in cancer diagnosis (13 papers)Advanced MRI Techniques and Applications (13 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Partner nations
- United Kingdom
In The Last Decade
LW Turnbull
29 papers receiving 655 citations
Peers
Comparison fields: 5 of 58
- Radiology, Nuclear Medicine and Imaging 431
- Cancer Research 153
- Pathology and Forensic Medicine 139
- Surgery 94
- Obstetrics and Gynecology 86
Countries citing papers authored by LW Turnbull
This map shows the geographic impact of LW Turnbull'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 LW Turnbull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LW Turnbull more than expected).
Fields of papers citing papers by LW Turnbull
This network shows the impact of papers produced by LW Turnbull. 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 LW Turnbull. The network helps show where LW Turnbull may publish in the future.
Co-authorship network of co-authors of LW Turnbull
This figure shows the co-authorship network connecting the top 25 collaborators of LW Turnbull. A scholar is included among the top collaborators of LW Turnbull 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 LW Turnbull. LW Turnbull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 21 | |
| 3 | Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy (vol 94, pg 1554, 2006) | 1 |
| 4 | Octreotide shrinks the cellular rather than the vascular compartment in acromegalic tumours in vivo | 0 |
| 5 | 27 | |
| 6 | 152 | |
| 7 | 38 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 70 | |
| 11 | 12 | |
| 12 | 34 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 17 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About LW Turnbull
LW Turnbull is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Cancer Research, having authored 30 papers that have together received 666 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (13 papers), Advanced MRI Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (431 citations), Obstetrics and Gynecology (86 citations) and Cancer Research (153 citations). LW Turnbull has collaborated with scholars based in United Kingdom. Frequent co-authors include PJ Drew, M. Lowry, D J Manton, Daniel J. Tozer, Anne M. Hubbard, John R.T. Monson, Michael Lind, A. Chaturvedi, Anthony Maraveyas and Peter Kneeshaw. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Cancer Research.
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.