LW Turnbull

1.2k total citations
30 papers, 666 citations indexed

About

LW Turnbull is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, LW Turnbull has authored 30 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in LW Turnbull's 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). LW Turnbull is often cited by papers focused on MRI in cancer diagnosis (13 papers), Advanced MRI Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). LW Turnbull collaborates with scholars based in United Kingdom. LW Turnbull's co-authors include PJ Drew, M. Lowry, D J Manton, Daniel J. Tozer, Anne M. Hubbard, John R.T. Monson, A. Chaturvedi, Michael Lind, Anthony Maraveyas and Peter Kneeshaw and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

LW Turnbull

29 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
LW Turnbull United Kingdom	13	431	153	139	94	86	30	666
D J Manton United Kingdom	13	601 1.4×	123 0.8×	80 0.6×	47 0.5×	40 0.5×	16	739
G. K. Rath India	12	212 0.5×	87 0.6×	51 0.4×	74 0.8×	30 0.3×	37	473
Amy N. Melsaether United States	17	845 2.0×	128 0.8×	130 0.9×	67 0.7×	31 0.4×	34	1.1k
Dae Sik Yang South Korea	16	138 0.3×	110 0.7×	44 0.3×	201 2.1×	67 0.8×	85	806
Hani Ashamalla United States	17	322 0.7×	125 0.8×	75 0.5×	142 1.5×	25 0.3×	70	1.0k
Eva‐Katrine Aarnes Norway	15	167 0.4×	260 1.7×	116 0.8×	35 0.4×	52 0.6×	21	658
N. Fersis Germany	14	200 0.5×	266 1.7×	108 0.8×	77 0.8×	59 0.7×	37	684
Andreanna D. Williams United Kingdom	13	216 0.5×	27 0.2×	30 0.2×	139 1.5×	208 2.4×	18	601
Claire L. Mitchell United Kingdom	8	122 0.3×	71 0.5×	51 0.4×	34 0.4×	20 0.2×	12	321
Chris J. Rose United Kingdom	10	675 1.6×	107 0.7×	22 0.2×	54 0.6×	41 0.5×	14	802

Countries citing papers authored by LW Turnbull

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Turnbull, LW, et al.. (2008). The accurate staging of ovarian cancer using 3T magnetic resonance imaging – a realistic option. BJOG An International Journal of Obstetrics & Gynaecology. 115(7). 894–901. 21 indexed citations

Turnbull, LW, et al.. (2008). In vivo magnetic resonance spectroscopy of gynaecological tumours at 3.0 Tesla. BJOG An International Journal of Obstetrics & Gynaecology. 116(2). 300–303. 36 indexed citations

Chaturvedi, A., et al.. (2006). Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy (vol 94, pg 1554, 2006). UCL Discovery (University College London). 1 indexed citations

Lowry, M., et al.. (2006). Octreotide shrinks the cellular rather than the vascular compartment in acromegalic tumours in vivo.

Manton, D J, A. Chaturvedi, Anne M. Hubbard, et al.. (2006). Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy. British Journal of Cancer. 94(3). 427–435. 152 indexed citations

Lowry, M., et al.. (2006). A simple solution for reducing artefacts due to conductive and dielectric effects in clinical magnetic resonance imaging at 3T. European Journal of Radiology. 62(1). 143–146. 27 indexed citations

Kneeshaw, Peter, LW Turnbull, & PJ Drew. (2003). Current applications and future direction of MR mammography. British Journal of Cancer. 88(1). 4–10. 38 indexed citations

Purdie, D.W., et al.. (2001). Ovarian Lymphangioma: MRI Appearances. Clinical Radiology. 56(8). 685–687. 9 indexed citations

Drew, PJ, Michael J. Kerin, Tapan Mahapatra, et al.. (2001). Evaluation of response to neoadjuvant chemoradiotherapy for locally advanced breast cancer with dynamic contrast-enhanced MRI of the breast. European Journal of Surgical Oncology. 27(7). 617–620. 70 indexed citations

10.

Liney, Gary, et al.. (2000). Bilateral open breast coil and compatible intervention device. Journal of Magnetic Resonance Imaging. 12(6). 984–990. 12 indexed citations

11.

Richmond, I, et al.. (1999). Histological analysis of the uterine junctional zone as seen by transvaginal ultrasound. Ultrasound in Obstetrics and Gynecology. 14(3). 188–193. 34 indexed citations

12.

Nicholson, A.A., et al.. (1999). Diagnosis and management of uterine arterio-venous malformations. Clinical Radiology. 54(4). 265–269. 28 indexed citations

13.

Drew, PJ, et al.. (1999). Preoperative magnetic resonance staging of rectal cancer with an endorectal coil and dynamic gadolinium enhancement. British journal of surgery. 86(2). 250–254. 41 indexed citations

14.

Drew, PJ, LW Turnbull, & Michael J. Kerin. (1998). Magnetic-resonance imaging and breast cancer multicentricity. The Lancet. 352(9128). 653–653. 1 indexed citations

15.

Coady, Anne‐Marie, et al.. (1996). Case report: MR imaging of fat necrosis of the breast associated with lipid cyst formation following conservative treatment for breast carcinoma. Clinical Radiology. 51(11). 815–817. 17 indexed citations

16.

Mussurakis, S., P.J. Carleton, & LW Turnbull. (1996). MR imaging of juvenile papillomatosis of the breast. British Journal of Radiology. 69(825). 867–870. 11 indexed citations

17.

KAY, N. R. M., et al.. (1995). Acute cervical epidural haematoma after soft-tissue cervical spine injury. Injury. 26(5). 345–346. 1 indexed citations

18.

Lowry, M., Oliver Quarrell, LW Turnbull, & A. Horsman. (1994). Proton MRS studies in Huntington's disease. Magnetic Resonance Materials in Physics Biology and Medicine. 2(3). 357–359. 1 indexed citations

19.

Ridgway, John P., et al.. (1990). An observation of increased contrast due to both T1 and T2 weighting in a synthetic image. Magnetic Resonance Imaging. 8(3). 261–266. 2 indexed citations

20.

Wathen, C G, W. J. Hannan, LW Turnbull, J E Roulston, & Alexander Muir. (1984). The Use of Nifedipine in Combination Therapy for the Management of Hypertension. Clinical Science. 66(2). 66P–66P. 3 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.

Explore authors with similar magnitude of impact