Peter Metherall

967 total citations
27 papers, 613 citations indexed

About

Peter Metherall is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Metherall has authored 27 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Metherall's work include Electrical and Bioimpedance Tomography (4 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Peter Metherall is often cited by papers focused on Electrical and Bioimpedance Tomography (4 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Peter Metherall collaborates with scholars based in United Kingdom, Netherlands and United States. Peter Metherall's co-authors include R. H. Smallwood, D C Barber, Brian Brown, Pankaj Garg, Robin Condliffe, Samer Alabed, Andrew J. Swift, David G. Kiely, Rob J. van der Geest and Haiping Lu and has published in prestigious journals such as Nature, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Peter Metherall

25 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Metherall United Kingdom 11 317 207 122 116 115 27 613
Gregory Boverman United States 15 230 0.7× 593 2.9× 121 1.0× 493 4.3× 100 0.9× 39 892
B. Blad Sweden 8 353 1.1× 204 1.0× 211 1.7× 76 0.7× 116 1.0× 23 604
Kiwan Jeon South Korea 15 169 0.5× 195 0.9× 23 0.2× 103 0.9× 59 0.5× 39 467
David Djajaputra United States 8 447 1.4× 288 1.4× 269 2.2× 247 2.1× 158 1.4× 18 892
P. Milnes United Kingdom 14 432 1.4× 270 1.3× 35 0.3× 28 0.2× 103 0.9× 22 606
Joubin Nasehi Tehrani Australia 10 106 0.3× 147 0.7× 80 0.7× 164 1.4× 27 0.2× 22 357
A D Leathard United Kingdom 11 352 1.1× 188 0.9× 58 0.5× 6 0.1× 107 0.9× 16 505
Özlem Birgül United States 11 272 0.9× 399 1.9× 20 0.2× 296 2.6× 69 0.6× 31 584
Taras Dudykevych Germany 14 627 2.0× 273 1.3× 538 4.4× 20 0.2× 168 1.5× 17 980
C. Campanella United Kingdom 8 450 1.4× 169 0.8× 37 0.3× 27 0.2× 21 0.2× 25 721

Countries citing papers authored by Peter Metherall

Since Specialization
Citations

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

Fields of papers citing papers by Peter Metherall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Metherall

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Metherall. A scholar is included among the top collaborators of Peter Metherall 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 Peter Metherall. Peter Metherall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Evans, Kate, et al.. (2025). PEEK-on-PEEK orbital implantation: a secondary augmentation approach for delayed enophthalmos. British Journal of Oral and Maxillofacial Surgery. 63(9). 681–684.
2.
Matthews, S., Jonathan Taylor, Michael Sharkey, et al.. (2023). Evaluating the performance of artificial intelligence software for lung nodule detection on chest radiographs in a retrospective real-world UK population. BMJ Open. 13(11). e077348–e077348. 11 indexed citations
3.
Taylor, Jonathan, Richard Thomas, Peter Metherall, et al.. (2023). An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD. Kidney International Reports. 9(2). 249–256. 7 indexed citations
5.
Sharkey, Michael, Jonathan Taylor, Samer Alabed, et al.. (2022). Fully automatic cardiac four chamber and great vessel segmentation on CT pulmonary angiography using deep learning. Frontiers in Cardiovascular Medicine. 9. 983859–983859. 17 indexed citations
6.
Taylor, Jonathan, Richard Thomas, Peter Metherall, Albert Ong, & Roslyn Simms. (2022). MO012: Development of an Accurate Automated Segmentation Algorithm to Measure Total Kidney Volume in ADPKD Suitable for Clinical Application (The Cystvas Study). Nephrology Dialysis Transplantation. 37(Supplement_3). 5 indexed citations
7.
Metherall, Peter, et al.. (2022). Individualized everolimus treatment for tuberous sclerosis-related angiomyolipoma promotes treatment adherence and response. Clinical Kidney Journal. 15(6). 1160–1168. 3 indexed citations
8.
Garg, Pankaj, Rachel Jones, Peter Metherall, et al.. (2021). Left ventricular fibrosis and hypertrophy are associated with mortality in heart failure with preserved ejection fraction. Scientific Reports. 11(1). 617–617. 50 indexed citations
10.
Swift, Andrew J., Haiping Lu, Johanna Uthoff, et al.. (2020). A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis. European Heart Journal - Cardiovascular Imaging. 22(2). 236–245. 56 indexed citations
11.
Simms, Roslyn, Peter Metherall, Desmon̄d Ryan, et al.. (2019). A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease. European Radiology. 29(8). 4188–4197. 18 indexed citations
12.
Metherall, Peter, et al.. (2019). TIBIO-TALAR COALITION - A CASE REPORT AND REVIEW OF THE LITERATURE. International Journal of Anatomy and Research. 7(4.2). 7123–7126. 1 indexed citations
13.
Chapple, Keith, et al.. (2017). Three-dimensional magnetic resonance visualisation of fistula-in-ano. Techniques in Coloproctology. 21(12). 979–983. 6 indexed citations
14.
Metherall, Peter, et al.. (2017). 38Multimodality image reconstruction and fusion to guide VT ablation. EP Europace. 19(suppl_1). i17–i17. 1 indexed citations
15.
Metherall, Peter, et al.. (2015). The Oculus Rift virtual colonoscopy: introducing a new technology and initial impressions. 6(1). 9 indexed citations
16.
Metherall, Peter, et al.. (2011). 99mTc white-cell imaging in inflammatory bowel disease. Nuclear Medicine Communications. 32(7). 591–596. 3 indexed citations
17.
Ireland, Rob H., Steven Wood, Peter Metherall, et al.. (2004). Feasibility of non-linear image registration for radiotherapy treatment planning with gamma camera PET. Nuclear Medicine Communications. 25(3). 318–318. 1 indexed citations
18.
Smallwood, R. H., Peter Metherall, D. Rodney Hose, et al.. (2002). Tomographic imaging and scanning thermal microscopy: thermal impedance tomography. Thermochimica Acta. 385(1-2). 19–32. 10 indexed citations
19.
Metherall, Peter, et al.. (1999). Can We Optimize Electrode Placement for Impedance Pneumography?. Annals of the New York Academy of Sciences. 873(1). 534–542. 2 indexed citations
20.
Metherall, Peter, D C Barber, R. H. Smallwood, & Brian Brown. (1996). Three-dimensional electrical impedance tomography. Nature. 380(6574). 509–512. 310 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

Rankless by CCL
2026