Daniel Taylor

419 total citations
24 papers, 310 citations indexed

About

Daniel Taylor is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Daniel Taylor has authored 24 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in Daniel Taylor's work include Cardiac Imaging and Diagnostics (5 papers), Advanced MRI Techniques and Applications (5 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Daniel Taylor is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Advanced MRI Techniques and Applications (5 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Daniel Taylor collaborates with scholars based in United Kingdom, United States and Netherlands. Daniel Taylor's co-authors include G. K. Radda, Paul M. Matthews, Orville A. Smith, C. A. Astley, Martin J. Paterson, A. Roger Hohimer, G. K. Radda, Alan Bevington, J. A. Kanis and B Rajagopalan and has published in prestigious journals such as The Journal of Chemical Physics, Hypertension and Diabetologia.

In The Last Decade

Daniel Taylor

22 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Taylor United Kingdom 9 83 62 43 36 36 24 310
Efrat Barbiro‐Michaely Israel 11 40 0.5× 112 1.8× 47 1.1× 24 0.7× 71 2.0× 43 335
Valentina Casieri Italy 11 101 1.2× 142 2.3× 26 0.6× 13 0.4× 42 1.2× 23 372
Satoshi Oikawa Japan 16 91 1.1× 121 2.0× 10 0.2× 19 0.5× 99 2.8× 68 995
Julie Barbier France 13 73 0.9× 130 2.1× 87 2.0× 154 4.3× 86 2.4× 30 492
Eleanor Gill United Kingdom 7 130 1.6× 145 2.3× 31 0.7× 38 1.1× 100 2.8× 19 406
P Toft Denmark 8 85 1.0× 67 1.1× 222 5.2× 25 0.7× 30 0.8× 14 404
Sarah Kuzmiak‐Glancy United States 13 148 1.8× 146 2.4× 52 1.2× 9 0.3× 63 1.8× 20 382
Jonathan L. Allis United Kingdom 10 194 2.3× 97 1.6× 263 6.1× 10 0.3× 38 1.1× 15 461
Jens Christian Brasen Denmark 14 52 0.6× 216 3.5× 25 0.6× 27 0.8× 90 2.5× 23 425
L. Ligeti Hungary 14 150 1.8× 123 2.0× 263 6.1× 22 0.6× 59 1.6× 40 553

Countries citing papers authored by Daniel Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Taylor. A scholar is included among the top collaborators of Daniel Taylor 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 Daniel Taylor. Daniel Taylor 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.
2.
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
3.
4.
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
5.
Taylor, Daniel, Ian Halliday, Tom Newman, et al.. (2024). Evaluation of models of sequestration flow in coronary arteries—Physiology versus anatomy?. Computers in Biology and Medicine. 173. 108299–108299. 4 indexed citations
6.
Halliday, Ian, et al.. (2024). Sensitivity analysis of closed-loop one-chamber and four-chamber models with baroreflex. PLoS Computational Biology. 20(12). e1012377–e1012377. 1 indexed citations
7.
Taylor, Daniel, Rebecca Gosling, Tom Newman, et al.. (2023). Sex differences in coronary microvascular resistance measured by a computational fluid dynamics model. Frontiers in Cardiovascular Medicine. 10. 1159160–1159160. 6 indexed citations
8.
Taylor, Daniel, et al.. (2022). Quantifying Real-World Fuel Economy Losses Caused by Injector Deposits in Gasoline Direct Injection Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
9.
10.
Taylor, Daniel & Martin J. Paterson. (2010). Calculations of the low-lying excited states of the TiO2 molecule. The Journal of Chemical Physics. 133(20). 204302–204302. 24 indexed citations
11.
Gupta, Sandeep Kumar, Daniel Cook, Monal Sharma, et al.. (2006). 278. The Journal of Heart and Lung Transplantation. 25(2). S140–S140. 2 indexed citations
12.
Starling, Randall C., Robin K. Avery, S D Mawhorter, et al.. (2004). The impact of cytogam on cardiac transplant recipients with moderate hypogammaglobulinemia. The Journal of Heart and Lung Transplantation. 23(2). S157–S157. 1 indexed citations
13.
Taylor, Daniel, et al.. (1995). A relationship between impaired fetal growth and reduced muscle glycolysis revealed by 31P magnetic resonance spectroscopy. Diabetologia. 38(10). 1205–1212. 4 indexed citations
14.
Philip, P. A., C. Thompson, J. Carmichael, et al.. (1993). A phase I study of the left-shifting agent BW12C79 plus mitomycin C and the effect on the skeletal muscle metabolism using 31P magnetic resonance spectroscopy.. PubMed. 53(23). 5649–53. 6 indexed citations
15.
Smith, Orville A., C. A. Astley, Francis A. Spelman, et al.. (1993). Integrating behavior and cardiovascular responses: posture and locomotion. I. Static analysis. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 265(6). R1458–R1468. 8 indexed citations
16.
Thompson, C., et al.. (1993). Skeletal muscle metabolism during exercise and recovery in patients with respiratory failure.. Thorax. 48(5). 486–490. 33 indexed citations
17.
Astley, C. A., Orville A. Smith, Roger D. Ray, et al.. (1991). Integrating behavior and cardiovascular responses: the code. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 261(1). R172–R181. 12 indexed citations
18.
Bevington, Alan, Kelly Mundy, A.J.P. Yates, et al.. (1986). A study of intracellular orthophosphate concentration in human muscle and erythrocytes by 31P nuclear magnetic resonance spectroscopy and selective chemical assay. Clinical Science. 71(6). 729–735. 60 indexed citations
19.
Matthews, Paul M., Daniel Taylor, & G. K. Radda. (1986). Biochemical mechanisms of acute contractile failure in the hypoxic rat heart. Cardiovascular Research. 20(1). 13–19. 51 indexed citations
20.
Smith, Orville A., A. Roger Hohimer, C. A. Astley, & Daniel Taylor. (1979). Renal and hindlimb vascular control during acute emotion in the baboon. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 236(3). R198–R205. 44 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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