Edward Nicol

6.3k total citations · 1 hit paper
160 papers, 2.8k citations indexed

About

Edward Nicol is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Edward Nicol has authored 160 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Radiology, Nuclear Medicine and Imaging, 63 papers in Cardiology and Cardiovascular Medicine and 50 papers in Biomedical Engineering. Recurrent topics in Edward Nicol's work include Cardiac Imaging and Diagnostics (90 papers), Advanced X-ray and CT Imaging (50 papers) and Radiation Dose and Imaging (37 papers). Edward Nicol is often cited by papers focused on Cardiac Imaging and Diagnostics (90 papers), Advanced X-ray and CT Imaging (50 papers) and Radiation Dose and Imaging (37 papers). Edward Nicol collaborates with scholars based in United Kingdom, United States and Canada. Edward Nicol's co-authors include Michelle C. Williams, David E. Newby, Alastair J. Moss, Simon Padley, Giles Roditi, Jonathan Weir‐McCall, Jonathon Leipsic, Michael B. Rubens, Susanna Price and Anoop Shah and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Edward Nicol

148 papers receiving 2.7k citations

Hit Papers

Coronary Artery Plaque Characteristics Associated With Ad... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward Nicol United Kingdom 26 1.6k 1.3k 744 714 469 160 2.8k
Cameron Hague Canada 31 1.2k 0.8× 947 0.7× 349 0.5× 588 0.8× 1.3k 2.7× 107 3.2k
Michael S. Firstenberg United States 27 987 0.6× 2.5k 2.0× 978 1.3× 590 0.8× 414 0.9× 155 3.5k
Carol Mitchell United States 22 693 0.4× 1.9k 1.5× 459 0.6× 232 0.3× 991 2.1× 88 2.9k
Tasneem Z. Naqvi United States 32 900 0.6× 2.8k 2.2× 956 1.3× 199 0.3× 1.0k 2.2× 151 4.0k
Phillip M. Young United States 30 844 0.5× 1.1k 0.9× 1.1k 1.4× 250 0.4× 352 0.8× 111 3.0k
Thomas C. Gerber United States 31 2.7k 1.7× 2.4k 1.9× 1.4k 1.8× 1.2k 1.7× 814 1.7× 96 5.1k
Ravin Davidoff United States 28 545 0.3× 2.3k 1.8× 756 1.0× 338 0.5× 471 1.0× 66 3.6k
Ernesto E. Salcedo United States 37 1.4k 0.9× 3.2k 2.5× 977 1.3× 253 0.4× 632 1.3× 101 3.9k
Håvard Dalen Norway 32 1.2k 0.7× 2.4k 1.9× 681 0.9× 134 0.2× 392 0.8× 178 3.6k
Nicole Nagdyman Germany 29 281 0.2× 997 0.8× 864 1.2× 463 0.6× 954 2.0× 113 2.4k

Countries citing papers authored by Edward Nicol

Since Specialization
Citations

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

Fields of papers citing papers by Edward Nicol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Nicol

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Nicol. A scholar is included among the top collaborators of Edward Nicol 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 Edward Nicol. Edward Nicol 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.
Williams, Michelle C., Jacek Kwieciński, Jonathan Weir‐McCall, et al.. (2025). Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial. Open Heart. 12(2). e003162–e003162.
2.
Weir‐McCall, Jonathan, et al.. (2025). Plaque quantification from coronary computed tomography angiography in predicting cardiovascular events: A systematic review and meta-analysis. Journal of cardiovascular computed tomography. 19(4). 423–432. 3 indexed citations
3.
Nicol, Edward, et al.. (2025). How to Safely Use Diluted Insulin in an Automated Insulin Delivery System in Very Young Children: An Educator Perspective. Journal of Diabetes Science and Technology. 580931399–580931399.
4.
Williams, Michelle C., Jonathan Weir‐McCall, Lauren A. Baldassarre, et al.. (2024). Artificial Intelligence and Machine Learning for Cardiovascular Computed Tomography (CCT): A White Paper of the Society of Cardiovascular Computed Tomography (SCCT). Journal of cardiovascular computed tomography. 18(6). 519–532. 11 indexed citations
6.
Weir‐McCall, Jonathan, Michelle C. Williams, Anoop Shah, et al.. (2023). National Trends in Coronary Artery Disease Imaging. JACC. Cardiovascular imaging. 16(5). 659–671. 31 indexed citations
7.
O’Sullivan, Oliver, Peter Ladlow, Robert Barker‐Davies, et al.. (2023). Factors influencing medium- and long-term occupational impact following COVID-19. Occupational Medicine. 74(1). 53–62. 3 indexed citations
8.
Ladlow, Peter, Oliver O’Sullivan, Alexander N. Bennett, et al.. (2022). The effect of medium-term recovery status after COVID-19 illness on cardiopulmonary exercise capacity in a physically active adult population. Journal of Applied Physiology. 132(6). 1525–1535. 26 indexed citations
9.
Parsons, Iain, Edward Nicol, David Holdsworth, et al.. (2021). Cardiovascular risk in high-hazard occupations: the role of occupational cardiology. European Journal of Preventive Cardiology. 29(4). 702–713. 5 indexed citations
10.
Williams, Michelle C., Daniele Massera, Alastair J. Moss, et al.. (2020). Prevalence and clinical implications of valvular calcification on coronary computed tomography angiography. European Heart Journal - Cardiovascular Imaging. 22(3). 262–270. 19 indexed citations
11.
Nazir, Muhummad Sohaib, Tarun Mittal, Jonathan Weir‐McCall, et al.. (2020). Opportunities and challenges of implementing computed tomography fractional flow reserve into clinical practice. Heart. 106(18). 1387–1393. 13 indexed citations
12.
Holdsworth, David, Iain Parsons, A. John Baksi, et al.. (2019). Cardiac MRI improves cardiovascular risk stratification in hazardous occupations. Journal of Cardiovascular Magnetic Resonance. 21(1). 48–48. 2 indexed citations
13.
Nazir, Muhummad Sohaib & Edward Nicol. (2019). Cardiovascular CT: the role of cardiologists. Heart. 105(17). 1375–1376. 3 indexed citations
14.
Nicol, Edward, et al.. (2018). Congenital heart disease in aircrew. Heart. 105(Suppl 1). s64–s69. 3 indexed citations
15.
d’Arcy, Joanna, et al.. (2018). Heart muscle disease management in aircrew. Heart. 105(Suppl 1). s50–s56. 8 indexed citations
16.
Gray, Gary, et al.. (2018). Assessing aeromedical risk: a three-dimensional risk matrix approach. Heart. 105(Suppl 1). s9–s16. 28 indexed citations
17.
Gray, Gary, et al.. (2018). Management of established coronary artery disease in aircrew without myocardial infarction or revascularisation. Heart. 105(Suppl 1). s25–s30. 13 indexed citations
18.
Syburra, Thomas, et al.. (2018). Management of established coronary artery disease in aircrew with previous myocardial infarction or revascularisation. Heart. 105(Suppl 1). s31–s37. 15 indexed citations
19.
Nicol, Edward, et al.. (2018). Non-coronary cardiac surgery and percutaneous cardiology procedures in aircrew. Heart. 105(Suppl 1). s70–s73. 2 indexed citations
20.
Gray, Gary, et al.. (2018). The challenge of asymptomatic coronary artery disease in aircrew; detecting plaque before the accident. Heart. 105(Suppl 1). s17–s24. 18 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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