Andrew Narracott

1.5k total citations
63 papers, 1.0k citations indexed

About

Andrew Narracott is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Andrew Narracott has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 26 papers in Cardiology and Cardiovascular Medicine and 20 papers in Biomedical Engineering. Recurrent topics in Andrew Narracott's work include Coronary Interventions and Diagnostics (24 papers), Cardiac Valve Diseases and Treatments (12 papers) and Cardiac Imaging and Diagnostics (11 papers). Andrew Narracott is often cited by papers focused on Coronary Interventions and Diagnostics (24 papers), Cardiac Valve Diseases and Treatments (12 papers) and Cardiac Imaging and Diagnostics (11 papers). Andrew Narracott collaborates with scholars based in United Kingdom, Netherlands and Italy. Andrew Narracott's co-authors include Julian Gunn, Patricia V. Lawford, D. Rodney Hose, Paul C. Evans, Sarah Hsiao, Paul Morris, Angela Lungu, Hendrik von Tengg‐Kobligk, Neil W. Bressloff and Ian Halliday and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Biomechanics.

In The Last Decade

Andrew Narracott

59 papers receiving 1.0k citations

Peers

Andrew Narracott

SURGE

CCM

PRM

RNMI

Nathan M. Wilson United States

Leif Rune Hellevik Norway

Vijay Vedula United States

Giuseppe D’Avenio Italy

Gerhard Rappitsch Austria

Jaques S. Milner Canada

Jenny S. Choy United States

Farhad R. Nezami United States

Jonas Lantz Sweden

Ashkan Javadzadegan Australia

Nathan M. Wilson United States

Andrew Narracott

541 ×1.0

SURGE

563 ×1.3

CCM

503 ×2.0

PRM

275 ×1.2

191 ×1.0

RNMI

Citations per year, relative to Andrew Narracott Andrew Narracott (= 1×) peers Nathan M. Wilson

Countries citing papers authored by Andrew Narracott

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Narracott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Narracott

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

All Works

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20 of 20 papers shown

Taylor, Daniel, Thiruni Adikari, Tom Newman, et al.. (2025). Invasive validation of novel 1D models for computation of coronary fractional flow reserve. Cardiovascular Research. 121(14). 2233–2245.

Taylor, Daniel, Andrew Narracott, Tom Newman, et al.. (2025). Derivation and sensitivity analysis of a novel one-dimensional model of coronary blood flow accounting for vessel taper and boundary slip. American Journal of Physiology-Heart and Circulatory Physiology. 329(5). H1033–H1046. 1 indexed citations

Narracott, Andrew, María-Cruz Villa-Uriol, Ana Paula Narata, et al.. (2024). Computational fluid dynamics and shape analysis enhance aneurysm rupture risk stratification. International Journal of Computer Assisted Radiology and Surgery. 20(1). 31–41. 1 indexed citations

Mustafa, Ahmed, et al.. (2023). A multiscale computational framework to evaluate flow alterations during mechanical thrombectomy for treatment of ischaemic stroke. Frontiers in Cardiovascular Medicine. 10. 1117449–1117449. 3 indexed citations

Newman, Tom, Dipankar Choudhury, Ian Halliday, et al.. (2023). Rapid virtual fractional flow reserve using 3D computational fluid dynamics. European Heart Journal - Digital Health. 4(4). 283–290. 3 indexed citations

Morris, Paul, Ian Halliday, Rebecca Gosling, et al.. (2023). Modelling The Hemodynamics of Coronary Ischemia. Fluids. 8(5). 159–159. 5 indexed citations

Hsiao, Sarah, Alberto Marzo, Andrew Narracott, et al.. (2022). Integrating particle tracking with computational fluid dynamics to assess haemodynamic perturbation by coronary artery stents. PLoS ONE. 17(7). e0271469–e0271469. 2 indexed citations

Morris, Paul, et al.. (2022). The Use of Digital Coronary Phantoms for the Validation of Arterial Geometry Reconstruction and Computation of Virtual FFR. Fluids. 7(6). 201–201. 1 indexed citations

Gosling, Rebecca, Tom Newman, D. Rodney Hose, et al.. (2022). The Complementary Value of Absolute Coronary Flow in the Assessment of Patients with Ischaemic Heart Disease. Nature Cardiovascular Research. 1(7). 611–616. 6 indexed citations

10.

Gosling, Rebecca, Gareth Williams, David R. J. Hose, et al.. (2021). Operator-dependent variability of angiography-derived fractional flow reserve and the implications for treatment. European Heart Journal - Digital Health. 2(2). 263–270. 6 indexed citations

11.

Griffiths, W.D., John F. Allsopp, Pinaki Bhattacharya, et al.. (2021). Delivering computationally-intensive digital patient applications to the clinic: An exemplar solution to predict femoral bone strength from CT data. Computer Methods and Programs in Biomedicine. 208. 106200–106200. 8 indexed citations

12.

Morris, Paul, Rebecca Gosling, Paul C. Evans, et al.. (2020). A novel method for measuring absolute coronary blood flow and microvascular resistance in patients with ischaemic heart disease. Cardiovascular Research. 117(6). 1567–1577. 35 indexed citations

13.

Tuijl, Sjoerd van, et al.. (2018). Full-field analysis of epicardial strain in an in vitro porcine heart platform. Journal of the mechanical behavior of biomedical materials. 91. 294–300. 8 indexed citations

14.

Ferrari, Simone, Adrian Walker, Prashant Kumar Verma, et al.. (2017). The Ring Vortex: Concepts for a Novel Complex Flow Phantom for Medical Imaging. 7(1). 28–41. 5 indexed citations

15.

Narracott, Andrew, et al.. (2016). Global sensitivity analysis of a model for venous valve dynamics. Journal of Biomechanics. 49(13). 2845–2853. 4 indexed citations

16.

Heiden, Kim Van der, Frank Gijsen, Andrew Narracott, et al.. (2013). The effects of stenting on shear stress: relevance to endothelial injury and repair. Cardiovascular Research. 99(2). 269–275. 100 indexed citations

17.

Hose, D. Rodney, et al.. (2005). Fundamental mechanics of aortic heart valve closure. Journal of Biomechanics. 39(5). 958–967. 19 indexed citations

18.

Narracott, Andrew, D. Rodney Hose, Patricia V. Lawford, & Julian Gunn. (2003). Measurement of the symmetry of in vitro stent expansion: a stereo-photogrammetric approach. Journal of Medical Engineering & Technology. 27(2). 59–70. 5 indexed citations

19.

Chambers, John B., et al.. (2003). Nominal size in six bileaflet mechanical aortic valves: a comparison of orifice size and biologic equivalence. Journal of Thoracic and Cardiovascular Surgery. 125(6). 1388–1393. 17 indexed citations

20.

Brown, Brian, Robert Primhak, R. H. Smallwood, et al.. (2002). Neonatal lungs-can absolute lung resistivity be determined non-invasively?. Medical & Biological Engineering & Computing. 40(4). 388–394. 29 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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