Denis McLean

834 total citations
9 papers, 671 citations indexed

About

Denis McLean is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Denis McLean has authored 9 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Biomedical Engineering and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Denis McLean's work include Ultrasound Imaging and Elastography (4 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Breast Lesions and Carcinomas (3 papers). Denis McLean is often cited by papers focused on Ultrasound Imaging and Elastography (4 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Breast Lesions and Carcinomas (3 papers). Denis McLean collaborates with scholars based in United Kingdom, Italy and Canada. Denis McLean's co-authors include Kim Thomson, Colin A. Purdie, Andrew Evans, Lee B. Jordan, Patricia Whelehan, Katrin Brauer, Alastair Thompson, Lee D. Baker, Petra Rauchhaus and Sarah Vinnicombe and has published in prestigious journals such as Radiology, Journal of Clinical Pathology and Breast Cancer Research.

In The Last Decade

Denis McLean

9 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Denis McLean United Kingdom	6	527	488	189	74	49	9	671
Katrin Brauer United Kingdom	6	754 1.4×	628 1.3×	258 1.4×	78 1.1×	55 1.1×	9	905
B. Cavanaugh United States	8	668 1.3×	484 1.0×	213 1.1×	103 1.4×	31 0.6×	13	816
Kim Thomson United Kingdom	12	991 1.9×	868 1.8×	335 1.8×	131 1.8×	69 1.4×	17	1.2k
Sebastian Wojcinski Germany	15	548 1.0×	419 0.9×	151 0.8×	207 2.8×	90 1.8×	29	803
Yuxin Jiang China	15	261 0.5×	260 0.5×	61 0.3×	76 1.0×	41 0.8×	45	527
Hai-Yun Yang China	10	188 0.4×	140 0.3×	32 0.2×	75 1.0×	27 0.6×	13	345
Chenyang Zhao China	15	203 0.4×	234 0.5×	56 0.3×	48 0.6×	37 0.8×	35	442
Susanne Grunwald Germany	10	215 0.4×	164 0.3×	45 0.2×	175 2.4×	97 2.0×	24	403
Chae Yeon Lyou South Korea	8	305 0.6×	189 0.4×	70 0.4×	137 1.9×	35 0.7×	14	428
Yu‐Mee Sohn South Korea	16	462 0.9×	213 0.4×	61 0.3×	156 2.1×	206 4.2×	49	879

Countries citing papers authored by Denis McLean

Since Specialization

Citations

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

Fields of papers citing papers by Denis McLean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis McLean

This figure shows the co-authorship network connecting the top 25 collaborators of Denis McLean. A scholar is included among the top collaborators of Denis McLean 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 Denis McLean. Denis McLean 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:

9 of 9 papers shown

1.

Lauzon, M. Louis, Cheryl R. McCreary, Denis McLean, Marina Salluzzi, & Richard Frayne. (2016). Quantitative susceptibility mapping at 3 T: comparison of acquisition methodologies. NMR in Biomedicine. 30(4). 8 indexed citations

2.

Vinnicombe, Sarah, et al.. (2015). Anisotropy of Solid Breast Lesions in 2D Shear Wave Elastography is an Indicator of Malignancy. Academic Radiology. 23(1). 53–61. 32 indexed citations

3.

Whelehan, Patricia, et al.. (2014). PB.44. Do qualitative patterns of stiffness help differentiate benign from malignant breast masses of similar stiffness during shear wave elastography?. Breast Cancer Research. 16(S1). 1 indexed citations

4.

Evans, Andrew, Patricia Whelehan, Kim Thomson, et al.. (2012). Invasive Breast Cancer: Relationship between Shear-wave Elastographic Findings and Histologic Prognostic Factors. Radiology. 263(3). 673–677. 220 indexed citations

5.

Purdie, Colin A., Lee B. Jordan, Denis McLean, et al.. (2011). Axillary lymph node core biopsy for breast cancer metastases — How many needle passes are enough?. Clinical Radiology. 67(5). 417–419. 5 indexed citations

6.

Evans, Andrew, Patricia Whelehan, Kim Thomson, et al.. (2010). Quantitative shear wave ultrasound elastography: initial experience in solid breast masses. Breast Cancer Research. 12(6). R104–R104. 370 indexed citations

7.

Purdie, Colin A., Denis McLean, J. McCullough, et al.. (2010). Management of in situ lobular neoplasia detected on needle core biopsy of breast. Journal of Clinical Pathology. 63(11). 987–993. 22 indexed citations

8.

Purdie, Colin A. & Denis McLean. (2009). Benign microcalcification and its differential diagnosis in breast screening. Diagnostic histopathology. 15(8). 382–394. 4 indexed citations

9.

McLean, Denis. (2003). The Prickly Pair: Making Nationalism in Australia and New Zealand. 9 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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