David Broadbent

2.5k total citations · 1 hit paper
38 papers, 1.6k citations indexed

About

David Broadbent is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, David Broadbent has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Cardiology and Cardiovascular Medicine and 4 papers in Epidemiology. Recurrent topics in David Broadbent's work include Cardiac Imaging and Diagnostics (21 papers), Advanced MRI Techniques and Applications (19 papers) and Cardiovascular Function and Risk Factors (14 papers). David Broadbent is often cited by papers focused on Cardiac Imaging and Diagnostics (21 papers), Advanced MRI Techniques and Applications (19 papers) and Cardiovascular Function and Risk Factors (14 papers). David Broadbent collaborates with scholars based in United Kingdom, United States and Denmark. David Broadbent's co-authors include Sven Plein, John P. Greenwood, Pankaj Garg, Philip Haaf, Daniel Messroghli, Adam K McDiarmid, Peter Swoboda, Ananth Kidambi, David Higgins and David P Ripley and has published in prestigious journals such as Nucleic Acids Research, Journal of the American College of Cardiology and Diabetes Care.

In The Last Decade

David Broadbent

38 papers receiving 1.6k citations

Hit Papers

Cardiac T1 Mapping and Extracellular Volume (ECV) in clin... 2016 2026 2019 2022 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cardiac T1 Mapping and Extracellular Volume (ECV) in clinical practice: a comprehensive review
    2016 623 citations Philip Haaf, Pankaj Garg et al. Journal of Cardiovascular Magnetic Resonance profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Broadbent United Kingdom 18 1.0k 987 184 150 145 38 1.6k
Nadine Kawel United States 15 870 0.8× 796 0.8× 198 1.1× 87 0.6× 149 1.0× 25 1.3k
Hans‐Marc J. Siebelink Netherlands 18 828 0.8× 597 0.6× 216 1.2× 50 0.3× 149 1.0× 43 1.2k
Clerio F. Azevedo Brazil 15 1.4k 1.4× 808 0.8× 313 1.7× 133 0.9× 190 1.3× 41 1.8k
Anja Zagrosek Germany 10 1.2k 1.2× 844 0.9× 280 1.5× 67 0.4× 171 1.2× 14 1.5k
Karen Modesto United States 15 537 0.5× 172 0.2× 143 0.8× 142 0.9× 239 1.6× 24 996
Anthony H. Tobias United States 17 386 0.4× 527 0.5× 150 0.8× 72 0.5× 223 1.5× 44 882
René Nkoulou Switzerland 24 356 0.3× 1.4k 1.5× 271 1.5× 59 0.4× 59 0.4× 60 1.7k
Jan Krejčí Czechia 21 1.3k 1.2× 187 0.2× 283 1.5× 128 0.9× 236 1.6× 109 1.7k
Carmen Lydell Canada 18 514 0.5× 249 0.3× 157 0.9× 123 0.8× 106 0.7× 60 1.0k
Holger Vogelsberg Germany 10 1.8k 1.7× 899 0.9× 492 2.7× 268 1.8× 298 2.1× 14 2.2k

Countries citing papers authored by David Broadbent

Since Specialization
Citations

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

Fields of papers citing papers by David Broadbent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Broadbent

This figure shows the co-authorship network connecting the top 25 collaborators of David Broadbent. A scholar is included among the top collaborators of David Broadbent 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 David Broadbent. David Broadbent 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.
Chowdhary, Amrit, Nicholas Jex, Marilena Giannoudi, et al.. (2024). Liraglutide Improves Myocardial Perfusion and Energetics and Exercise Tolerance in Patients With Type 2 Diabetes. Journal of the American College of Cardiology. 84(6). 540–557. 9 indexed citations
2.
Biglands, John, David Broadbent, Peter Kellman, et al.. (2023). The impact of water exchange on estimates of myocardial extracellular volume calculated using contrast enhanced T1 measurements: A preliminary analysis in patients with severe aortic stenosis. Magnetic Resonance in Medicine. 91(4). 1637–1644. 1 indexed citations
3.
Al‐Qaisieh, Bashar, et al.. (2023). The role and potential of using quantitative MRI biomarkers for imaging guidance in brain cancer radiotherapy treatment planning: A systematic review. Physics and Imaging in Radiation Oncology. 27. 100476–100476. 5 indexed citations
4.
Brown, Louise, Andrew Fitzpatrick, David Broadbent, et al.. (2023). Identification of non-ischaemic fibrosis in male veteran endurance athletes, mechanisms and association with premature ventricular beats. Scientific Reports. 13(1). 14640–14640. 8 indexed citations
5.
Scannell, Cian M., David Higgins, David Broadbent, et al.. (2023). 9 A comparison between three quantitative perfusion post processing methods. Abstracts. A7.2–A8. 2 indexed citations
6.
Anderson, Robert H., et al.. (2023). Myocardial Blood Flow Determination From Contrast‐Free Magnetic Resonance Imaging Quantification of Coronary Sinus Flow. Journal of Magnetic Resonance Imaging. 59(4). 1258–1266. 1 indexed citations
7.
Dumitru, Raluca B, David Broadbent, Francesco Del Galdo, et al.. (2021). First pilot study of extracellular volume MRI measurement in peripheral muscle of systemic sclerosis patients suggests diffuse fibrosis. Lara D. Veeken. 61(4). 1651–1657. 6 indexed citations
8.
Broadbent, David, Robert Chuter, Bashar Al‐Qaisieh, et al.. (2020). Audit feasibility for geometric distortion in magnetic resonance imaging for radiotherapy. Physics and Imaging in Radiation Oncology. 15. 80–84. 8 indexed citations
9.
Jørgensen, Niklas Rye, et al.. (2020). Fibroblast growth factor-23 is associated with imaging markers of diabetic cardiomyopathy and anti-diabetic therapeutics. Cardiovascular Diabetology. 19(1). 158–158. 14 indexed citations
10.
Foley, James, David Broadbent, Graham Fent, et al.. (2019). Clinical evaluation of two dark blood methods of late gadolinium quantification of ischemic scar. Journal of Magnetic Resonance Imaging. 50(1). 146–152. 15 indexed citations
11.
Brown, Louise, Sebastian Onciul, David Broadbent, et al.. (2018). Fully automated, inline quantification of myocardial blood flow with cardiovascular magnetic resonance: repeatability of measurements in healthy subjects. Journal of Cardiovascular Magnetic Resonance. 20(1). 48–48. 55 indexed citations
12.
Garg, Pankaj, David Broadbent, Peter Swoboda, et al.. (2017). Acute Infarct Extracellular Volume Mapping to Quantify Myocardial Area at Risk and Chronic Infarct Size on Cardiovascular Magnetic Resonance Imaging. Circulation Cardiovascular Imaging. 10(7). 33 indexed citations
13.
Garg, Pankaj, David Broadbent, Peter Swoboda, et al.. (2016). Extra-cellular expansion in the normal, non-infarcted myocardium is associated with worsening of regional myocardial function after acute myocardial infarction. Journal of Cardiovascular Magnetic Resonance. 19(1). 73–73. 25 indexed citations
14.
Kidambi, Ananth, Manish Motwani, Akhlaque Uddin, et al.. (2016). Myocardial Extracellular Volume Estimation by CMR Predicts Functional Recovery Following Acute MI. JACC. Cardiovascular imaging. 10(9). 989–999. 53 indexed citations
15.
Haaf, Philip, Pankaj Garg, Daniel Messroghli, et al.. (2016). Cardiac T1 Mapping and Extracellular Volume (ECV) in clinical practice: a comprehensive review. Journal of Cardiovascular Magnetic Resonance. 18(1). 89–89. 623 indexed citations breakdown →
16.
Swoboda, Peter, Adam K McDiarmid, Bara Erhayiem, et al.. (2016). Effect of cellular and extracellular pathology assessed by T1 mapping on regional contractile function in hypertrophic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 19(1). 16–16. 31 indexed citations
17.
McDiarmid, Adam K, Peter Swoboda, Bara Erhayiem, et al.. (2015). Single bolus versus split dose gadolinium administration in extra-cellular volume calculation at 3 Tesla. Journal of Cardiovascular Magnetic Resonance. 17(1). 6–6. 18 indexed citations
18.
Kidambi, Ananth, Manish Motwani, Akhlaque Uddin, et al.. (2015). Myocardial extracellular volume estimation by CMR predicts functional recovery following acute myocardial infarction. Journal of Cardiovascular Magnetic Resonance. 17. Q63–Q63. 4 indexed citations
19.
McDiarmid, Adam K, David Broadbent, David Higgins, et al.. (2015). The effect of changes to MOLLI scheme on T1 mapping and extra cellular volume calculation in healthy volunteers with 3 tesla cardiovascular magnetic resonance imaging.. PubMed. 5(4). 503–10. 20 indexed citations
20.
Kidambi, Ananth, John Biglands, David Higgins, et al.. (2014). Susceptibility-weighted cardiovascular magnetic resonance in comparison to T2 and T2 star imaging for detection of intramyocardial hemorrhage following acute myocardial infarction at 3 Tesla. Journal of Cardiovascular Magnetic Resonance. 16(1). 86–86. 17 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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