D. Rodney Hose

4.3k total citations
116 papers, 3.0k citations indexed

About

D. Rodney Hose is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, D. Rodney Hose has authored 116 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Surgery, 51 papers in Cardiology and Cardiovascular Medicine and 33 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in D. Rodney Hose's work include Coronary Interventions and Diagnostics (37 papers), Cardiac Imaging and Diagnostics (25 papers) and Cardiovascular Function and Risk Factors (25 papers). D. Rodney Hose is often cited by papers focused on Coronary Interventions and Diagnostics (37 papers), Cardiac Imaging and Diagnostics (25 papers) and Cardiovascular Function and Risk Factors (25 papers). D. Rodney Hose collaborates with scholars based in United Kingdom, Netherlands and Germany. D. Rodney Hose's co-authors include Patricia V. Lawford, Julian Gunn, Paul Morris, Andrew Narracott, R. H. Smallwood, Dawn Walker, Julia A. Schnabel, David Hill, Angela Lungu and Christine Tanner and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Biomechanics.

In The Last Decade

D. Rodney Hose

113 papers receiving 3.0k citations

Peers

D. Rodney Hose

SURGE

CCM

RNMI

PRM

Poul M. F. Nielsen New Zealand

Peter F. Niederer Switzerland

Shmuel Einav Israel

Patricia V. Lawford United Kingdom

Ichiro Sakuma Japan

Anders Persson Sweden

Jack Lee United Kingdom

Maria Drangova Canada

Martyn P. Nash New Zealand

Kawal Rhode United Kingdom

Poul M. F. Nielsen New Zealand

D. Rodney Hose

652 ×0.5

SURGE

940 ×0.9

CCM

549 ×0.6

RNMI

1.3k ×1.7

236 ×0.4

PRM

Citations per year, relative to D. Rodney Hose D. Rodney Hose (= 1×) peers Poul M. F. Nielsen

Countries citing papers authored by D. Rodney Hose

Since Specialization

Citations

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

Fields of papers citing papers by D. Rodney Hose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Rodney Hose. 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 D. Rodney Hose. The network helps show where D. Rodney Hose may publish in the future.

Co-authorship network of co-authors of D. Rodney Hose

This figure shows the co-authorship network connecting the top 25 collaborators of D. Rodney Hose. A scholar is included among the top collaborators of D. Rodney Hose 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 D. Rodney Hose. D. Rodney Hose 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, 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

Taylor, Daniel, Ian Halliday, Tom Newman, et al.. (2024). Systematic review and meta-analysis of Murray’s law in the coronary arterial circulation. American Journal of Physiology-Heart and Circulatory Physiology. 327(1). H182–H190. 5 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

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

Gosling, Rebecca, David Barmby, Javaid Iqbal, et al.. (2021). The Impact of Virtual Fractional Flow Reserve and Virtual Coronary Intervention on Treatment Decisions in the Cardiac Catheter Laboratory. Canadian Journal of Cardiology. 37(10). 1530–1538. 4 indexed citations

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

Shi, Yubing, Israel Valverde, Patricia V. Lawford, Philipp Beerbaum, & D. Rodney Hose. (2019). Patient-specific non-invasive estimation of pressure gradient across aortic coarctation using magnetic resonance imaging. Journal of Cardiology. 73(6). 544–552. 8 indexed citations

10.

Morris, Paul, et al.. (2018). The impact of Objective Mathematical Analysis during Fractional Flow Reserve measurement: results from the OMA-FFR study. EuroIntervention. 14(8). 935–941. 1 indexed citations

11.

Morris, Paul, et al.. (2013). Virtual Fractional Flow Reserve From Coronary Angiography: Modeling the Significance of Coronary Lesions. JACC: Cardiovascular Interventions. 6(2). 149–157. 205 indexed citations

12.

Barber, David C., Yubing Shi, Philipp Beerbaum, et al.. (2011). Measurement of Aortic Pressure Wave Velocity by 4D Image Registration.. 275–280. 1 indexed citations

13.

Brown, Alistair, et al.. (2011). Importance of realistic LVAD profiles for assisted aortic simulations: evaluation of optimal outflow anastomosis locations. Computer Methods in Biomechanics & Biomedical Engineering. 15(6). 669–680. 20 indexed citations

14.

Fenner, John, et al.. (2008). The Karman Vortex in a Medical Imaging Context: A Validated Computational Model of Laminar Shedding.. 185–190. 1 indexed citations

15.

Radaelli, Alessandro, Luca Augsburger, Juan R. Cebral, et al.. (2008). Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model—A report on the Virtual Intracranial Stenting Challenge 2007. Journal of Biomechanics. 41(10). 2069–2081. 122 indexed citations

16.

Clapworthy, Gordon, Marco Viceconti, D. Rodney Hose, et al.. (2007). Digital human modelling: A global vision and a european perspective. Lecture notes in computer science. 549–558. 3 indexed citations

17.

Barber, D C, Estanislao Oubel, Alejandro F. Frangi, & D. Rodney Hose. (2007). Efficient computational fluid dynamics mesh generation by image registration. Medical Image Analysis. 11(6). 648–662. 58 indexed citations

18.

Bernsdorf, J., S. E. Harrison, Susan M. Smith, Patricia V. Lawford, & D. Rodney Hose. (2007). Applying the lattice Boltzmann technique to biofluids: A novel approach to simulate blood coagulation. Computers & Mathematics with Applications. 55(7). 1408–1414. 17 indexed citations

19.

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

20.

Jones, Don, R. H. Smallwood, D. Rodney Hose, Brian Brown, & Dawn Walker. (2003). Modelling of epithelial tissue impedance measured using three different designs of probe. Physiological Measurement. 24(2). 605–623. 38 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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