Paul Morris

5.2k total citations · 1 hit paper
101 papers, 3.0k citations indexed

About

Paul Morris is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paul Morris has authored 101 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 41 papers in Cardiology and Cardiovascular Medicine and 41 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paul Morris's work include Coronary Interventions and Diagnostics (40 papers), Cardiac Imaging and Diagnostics (38 papers) and Acute Myocardial Infarction Research (14 papers). Paul Morris is often cited by papers focused on Coronary Interventions and Diagnostics (40 papers), Cardiac Imaging and Diagnostics (38 papers) and Acute Myocardial Infarction Research (14 papers). Paul Morris collaborates with scholars based in United Kingdom, United States and Netherlands. Paul Morris's co-authors include Julian Gunn, D. Rodney Hose, Patricia V. Lawford, Rajindar S. Sohal, Michael J. Forster, Kevin S. Channer, Angela Lungu, Peter J. Pugh, Chris J. Malkin and Andrew Narracott and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Paul Morris

94 papers receiving 2.9k citations

Hit Papers

Coronary flow reserve and cardiovascular outcomes: a syst... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Morris United Kingdom 28 1.1k 902 820 492 350 101 3.0k
Hong Yang United States 37 1.2k 1.1× 428 0.5× 367 0.4× 527 1.1× 253 0.7× 152 4.2k
J. Fredrick Cornhill United States 29 1.1k 1.0× 1.3k 1.5× 492 0.6× 594 1.2× 200 0.6× 76 3.5k
János Molnár United States 35 1.4k 1.3× 461 0.5× 262 0.3× 1.2k 2.3× 327 0.9× 194 4.8k
Saim Yoloğlu Türkiye 30 364 0.3× 628 0.7× 576 0.7× 324 0.7× 136 0.4× 152 2.9k
Yuko Ohno Japan 27 281 0.3× 631 0.7× 381 0.5× 430 0.9× 375 1.1× 257 3.7k
Cheng‐Hsien Lu Taiwan 42 393 0.4× 1.1k 1.3× 365 0.4× 1.0k 2.1× 238 0.7× 324 6.7k
Li Chen China 45 1.1k 1.1× 781 0.9× 1.1k 1.3× 2.4k 4.9× 268 0.8× 374 7.7k
Frank Beckers Netherlands 29 2.9k 2.6× 422 0.5× 535 0.7× 290 0.6× 233 0.7× 95 4.5k
E. Keller Switzerland 38 264 0.2× 547 0.6× 453 0.6× 448 0.9× 254 0.7× 248 6.1k
Thomas V. Bilfinger United States 36 522 0.5× 754 0.8× 326 0.4× 1.1k 2.3× 221 0.6× 194 4.6k

Countries citing papers authored by Paul Morris

Since Specialization
Citations

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

Fields of papers citing papers by Paul Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Morris. A scholar is included among the top collaborators of Paul Morris 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 Paul Morris. Paul Morris 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.
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.
3.
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
4.
5.
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
6.
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
7.
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
9.
Morris, Paul, Rasha Al‐Lamee, & Colin Berry. (2022). Coronary physiological assessment in the catheter laboratory: haemodynamics, clinical assessment and future perspectives. Heart. 108(21). 1737–1746. 10 indexed citations
11.
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
12.
Shiha, Mohamed G., Alisdair Ryding, Marcus Flather, et al.. (2021). Cardiovascular examination using hand-held cardiac ultrasound. Journal of Echocardiography. 20(1). 1–9. 10 indexed citations
13.
Gosling, Rebecca, et al.. (2021). The new role of diagnostic angiography in coronary physiological assessment. Heart. 107(10). 783–789. 18 indexed citations
14.
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
15.
Jones, Rachel, Samer Alabed, Paul Morris, et al.. (2020). Meta-Analysis of Echocardiographic Quantification of Left Ventricular Filling Pressure. ESC Heart Failure. 8(1). 566–576. 35 indexed citations
16.
Warriner, David, et al.. (2019). Cardiac auscultation: normal and abnormal. British Journal of Hospital Medicine. 80(2). C28–C31. 3 indexed citations
17.
Morris, Paul, Javaid Iqbal, Claudio Chiastra, et al.. (2018). Simultaneous kissing stents to treat unprotected left main stem coronary artery bifurcation disease; stent expansion, vessel injury, hemodynamics, tissue healing, restenosis, and repeat revascularization. Catheterization and Cardiovascular Interventions. 92(6). E381–E392. 26 indexed citations
18.
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
19.
Garg, Pankaj, Paul Morris, Sethumadhavan Vijayan, et al.. (2017). Cardiac biomarkers of acute coronary syndrome: from history to high-sensitivity cardiac troponin. Internal and Emergency Medicine. 12(2). 147–155. 199 indexed citations
20.
Morris, Paul, et al.. (2013). Heart failure with a preserved ejection fraction. British Journal of Hospital Medicine. 74(Sup2). C26–C31. 16 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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