Scott Semple

4.1k total citations · 1 hit paper
78 papers, 2.3k citations indexed

About

Scott Semple is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Scott Semple has authored 78 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Cardiology and Cardiovascular Medicine and 17 papers in Surgery. Recurrent topics in Scott Semple's work include Cardiac Imaging and Diagnostics (28 papers), Advanced MRI Techniques and Applications (23 papers) and Cardiac Valve Diseases and Treatments (10 papers). Scott Semple is often cited by papers focused on Cardiac Imaging and Diagnostics (28 papers), Advanced MRI Techniques and Applications (23 papers) and Cardiac Valve Diseases and Treatments (10 papers). Scott Semple collaborates with scholars based in United Kingdom, United States and Germany. Scott Semple's co-authors include David E. Newby, Marc R. Dweck, Saeed Mirsadraee, Trevor Ahearn, Calvin Chin, Roger T. Staff, Jennifer Richards, Audrey White, Tom MacGillivray and Thomas W. Redpath and has published in prestigious journals such as The Lancet, Circulation and Nature Communications.

In The Last Decade

Scott Semple

73 papers receiving 2.3k citations

Hit Papers

Myocardial and Systemic I... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Scott Semple 1.1k 1.0k 424 378 351 78 2.3k
Felix Nensa 412 0.4× 1.8k 1.8× 374 0.9× 242 0.6× 638 1.8× 167 2.9k
Leonardo Pace 1.3k 1.2× 2.0k 2.0× 603 1.4× 191 0.5× 360 1.0× 171 3.5k
Nilesh R. Ghugre 525 0.5× 1.1k 1.0× 222 0.5× 376 1.0× 94 0.3× 66 2.6k
Michael Becker 2.1k 2.0× 1.2k 1.2× 457 1.1× 459 1.2× 244 0.7× 91 2.9k
Taigang He 1.2k 1.1× 1.3k 1.3× 263 0.6× 312 0.8× 213 0.6× 55 3.0k
W. Patricia Bandettini 966 0.9× 1.2k 1.2× 269 0.6× 121 0.3× 219 0.6× 58 2.0k
Yoshihiro Takeda 501 0.5× 898 0.9× 838 2.0× 143 0.4× 432 1.2× 134 1.8k
Christian Ritter 410 0.4× 802 0.8× 358 0.8× 94 0.2× 438 1.2× 85 1.8k
Osman Ratib 842 0.8× 2.1k 2.1× 330 0.8× 224 0.6× 635 1.8× 99 3.1k
Kelvin Chow 1.7k 1.6× 1.6k 1.5× 332 0.8× 238 0.6× 220 0.6× 109 2.7k

Countries citing papers authored by Scott Semple

Since Specialization
Citations

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

Fields of papers citing papers by Scott Semple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Semple

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Semple. A scholar is included among the top collaborators of Scott Semple 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 Scott Semple. Scott Semple 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.
Xu, Wei, Ines Mesa‐Eguiagaray, David M. Morris, et al.. (2025). Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank. Nature Communications. 16(1). 99–99. 6 indexed citations
2.
Goatman, Keith A., et al.. (2023). Can a single image processing algorithm work equally well across all phases of DCE-MRI. arXiv (Cornell University). 115–115. 1 indexed citations
3.
Singh, Trisha, Shruti Joshi, Mohammed N. Meah, et al.. (2023). Repeatability and reproducibility of cardiac manganese-enhanced magnetic resonance imaging. Scientific Reports. 13(1). 3366–3366. 1 indexed citations
4.
Craig, Neil, Shruti Joshi, Scott Semple, et al.. (2023). OP3 Cardiac fibrosis in carcinoid syndrome: a pilot study. A2.1–A2. 1 indexed citations
5.
Morris, David M., Chengjia Wang, Giorgos Papanastasiou, et al.. (2023). A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data. Computational and Structural Biotechnology Journal. 24. 89–104. 10 indexed citations
6.
Fletcher, Alexander J., Gillian Macnaught, Sebastien Cadet, et al.. (2022). Vascular biomechanics and molecular disease activity in the thoracic aorta: a novel imaging method. European Heart Journal - Cardiovascular Imaging. 23(12). 1698–1707. 4 indexed citations
7.
Brennan, Paul, Mark T. Macmillan, Catriona Graham, et al.. (2021). Study protocol: a multicentre, open-label, parallel-group, phase 2, randomised controlled trial of autologous macrophage therapy for liver cirrhosis (MATCH). BMJ Open. 11(11). e053190–e053190. 25 indexed citations
8.
Corcoran, David, Aleksandra Radjenovic, Ify Mordi, et al.. (2020). Vascular effects of serelaxin in patients with stable coronary artery disease: a randomized placebo-controlled trial. Cardiovascular Research. 117(1). 320–329. 6 indexed citations
9.
Tavares, Adriana, Gillian A. Gray, Andrew H. Baker, et al.. (2020). Manganese-enhanced T1 mapping to quantify myocardial viability: validation with 18F-fluorodeoxyglucose positron emission tomography. Scientific Reports. 10(1). 2018–2018. 14 indexed citations
10.
Kershaw, Lucy, Maurits A. Jansen, Andrew Bond, et al.. (2019). Manganese-enhanced MRI: Comparison of agents in the rat pancreas. SHILAP Revista de lepidopterología. 1. 100002–100002. 1 indexed citations
11.
Chartsias, Agisilaos, Giorgos Papanastasiou, Chengjia Wang, et al.. (2019). Disentangle, align and fuse for multimodal and zero-shot image segmentation. arXiv (Cornell University). 4 indexed citations
12.
Spath, Nicholas, Gillian A. Gray, Lydia M. Le Page, et al.. (2018). Manganese-Enhanced T1 Mapping in the Myocardium of Normal and Infarcted Hearts. Contrast Media & Molecular Imaging. 2018. 1–13. 17 indexed citations
13.
McDonald, Natasha, Peter Eddowes, James Hodson, et al.. (2018). Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study. Scientific Reports. 8(1). 9189–9189. 59 indexed citations
14.
Everett, Russell J., Lionel Tastet, Marie‐Annick Clavel, et al.. (2018). Progression of Hypertrophy and Myocardial Fibrosis in Aortic Stenosis. Circulation Cardiovascular Imaging. 11(6). e007451–e007451. 117 indexed citations
15.
Denison, Fiona C., Gillian Macnaught, Scott Semple, et al.. (2017). Brain Development in Fetuses of Mothers with Diabetes: A Case-Control MR Imaging Study. American Journal of Neuroradiology. 38(5). 1037–1044. 12 indexed citations
16.
Stirrat, Colin, Shirjel Alam, Tom MacGillivray, et al.. (2016). Ferumoxytol-enhanced magnetic resonance imaging methodology and normal values at 1.5 and 3T. Journal of Cardiovascular Magnetic Resonance. 18(1). 46–46. 21 indexed citations
17.
Chin, Calvin, David Messika‐Zeitoun, Anoop Shah, et al.. (2015). A clinical risk score of myocardial fibrosis predicts adverse outcomes in aortic stenosis. European Heart Journal. 37(8). 713–723. 69 indexed citations
18.
Alam, Shirjel, Jennifer Richards, Anoop Shah, et al.. (2013). NANOPARTICLE ENHANCED MRI: A NOVEL METHOD OF INVESTIGATING MYOCARDIAL INFLAMMATION. Journal of the American College of Cardiology. 61(10). E1072–E1072. 1 indexed citations
19.
McDermott, Garry, A. Welch, Roger T. Staff, et al.. (2006). Monitoring primary breast cancer throughout chemotherapy using FDG-PET. Breast Cancer Research and Treatment. 102(1). 75–84. 96 indexed citations
20.
Redpath, T W, Scott Semple, Gordon D. Waiter, et al.. (2003). Novel T‐weighted contrast preparation scheme for segmented k‐space myocardial imaging. Magnetic Resonance in Medicine. 49(4). 776–780. 4 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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