Jonathan Taylor

604 total citations
23 papers, 395 citations indexed

About

Jonathan Taylor is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jonathan Taylor has authored 23 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jonathan Taylor's work include Cardiac Imaging and Diagnostics (6 papers), Medical Imaging Techniques and Applications (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Jonathan Taylor is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Medical Imaging Techniques and Applications (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Jonathan Taylor collaborates with scholars based in United Kingdom, Netherlands and Canada. Jonathan Taylor's co-authors include M L Espir, Stanley D. Brauer, John Fenner, Peter Metherall, Christopher Johns, Samer Alabed, Andrew J. Swift, Pankaj Garg, Robin Condliffe and David G. Kiely and has published in prestigious journals such as Nephrology Dialysis Transplantation, BMJ Open and Postgraduate Medical Journal.

In The Last Decade

Jonathan Taylor

23 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Taylor United Kingdom 9 139 126 81 73 68 23 395
Sébastien Verclytte France 14 98 0.7× 74 0.6× 265 3.3× 55 0.8× 44 0.6× 27 553
Oana Dumitrașcu United States 14 52 0.4× 206 1.6× 87 1.1× 33 0.5× 29 0.4× 55 597
Paolo Reganati Italy 10 131 0.9× 86 0.7× 62 0.8× 63 0.9× 24 0.4× 14 326
Barbara Di Pietro Italy 15 38 0.3× 53 0.4× 96 1.2× 47 0.6× 46 0.7× 17 394
Marie Wasielewski United States 10 111 0.8× 65 0.5× 112 1.4× 36 0.5× 31 0.5× 25 425
Changhu Liang China 11 38 0.3× 71 0.6× 104 1.3× 27 0.4× 19 0.3× 47 336
Holger Wenz Germany 13 54 0.4× 262 2.1× 106 1.3× 85 1.2× 14 0.2× 62 522
Frauke Kellner‐Weldon Switzerland 15 71 0.5× 88 0.7× 89 1.1× 55 0.8× 10 0.1× 34 485
William Robert Kwapong China 14 58 0.4× 135 1.1× 323 4.0× 24 0.3× 23 0.3× 58 604
Qiao‐Ying Yuan China 9 21 0.2× 44 0.3× 56 0.7× 40 0.5× 44 0.6× 16 359

Countries citing papers authored by Jonathan Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Taylor. A scholar is included among the top collaborators of Jonathan Taylor 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 Jonathan Taylor. Jonathan Taylor 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.
Shelmerdine, Susan C., Sarah Hickman, Jonathan Taylor, et al.. (2024). Facilitating the use of routine data to evaluate artificial intelligence solutions: lessons from the NIHR/RCR data curation workshop. Clinical Radiology. 79(12). 892–902. 1 indexed citations
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.
Williams, Steven E., Michelle C. Williams, David E. Newby, et al.. (2023). Deep learning estimation of three-dimensional left atrial shape from two-chamber and four-chamber cardiac long axis views. European Heart Journal - Cardiovascular Imaging. 24(5). 607–615. 4 indexed citations
4.
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.
Michopoulou, Sofia, et al.. (2023). Brain PET and SPECT imaging and quantification: a survey of the current status in the UK. Nuclear Medicine Communications. 44(10). 834–842. 1 indexed citations
6.
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
7.
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
8.
O’Brien, Hugh, John Whitaker, Baldeep S. Sidhu, et al.. (2021). Automated Left Ventricle Ischemic Scar Detection in CT Using Deep Neural Networks. Frontiers in Cardiovascular Medicine. 8. 655252–655252. 15 indexed citations
9.
Taylor, Jonathan, Michael Sharkey, & Peter Metherall. (2021). In-house development, implementation and evaluation of machine learning software for automated clinical scan processing. Nuclear Medicine Communications. 42(10). 1157–1161. 1 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.
Taylor, Jonathan, et al.. (2018). The subresolution DaTSCAN phantom. Nuclear Medicine Communications. 39(3). 268–275. 3 indexed citations
12.
Taylor, Jonathan, et al.. (2018). Computer-aided diagnosis for (123I)FP-CIT imaging: impact on clinical reporting. EJNMMI Research. 8(1). 36–36. 7 indexed citations
13.
14.
Taylor, Jonathan, et al.. (2017). UK audit of quantitative thyroid uptake imaging. Nuclear Medicine Communications. 38(7). 608–616. 2 indexed citations
15.
Taylor, Jonathan, et al.. (2015). Ureteric foreign body following previous aorto-iliac graft. Canadian Urological Association Journal. 9(5-6). 300–300. 1 indexed citations
16.
Taylor, Jonathan, et al.. (2014). Commissioning of a new SeHCAT detector and comparison with an uncollimated gamma camera. Nuclear Medicine Communications. 35(10). 1071–1076. 3 indexed citations
17.
Taylor, Jonathan, et al.. (2012). The Use of Mersilene Mesh for Wrapping of Hydroxyapatite Orbital Implants: Mid-Term Result. Orbit. 31(3). 155–158. 13 indexed citations
18.
Taylor, Jonathan, et al.. (2011). Correlation of left ventricular count rate with patient weight in Tc-99m myocardial perfusion imaging. Nuclear Medicine Communications. 32(4). 279–283. 5 indexed citations
19.
Taylor, Jonathan, et al.. (2011). Assessing the performance of a solid-state cardiac gamma camera prior to its introduction into routine clinical service. 52. 1937–1937. 3 indexed citations
20.
Yoxall, Alaster, et al.. (2009). Understanding the use of tools for opening packaging. Universal Access in the Information Society. 9(3). 273–281. 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.

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