Matthew Dawes

528 total citations
11 papers, 392 citations indexed

About

Matthew Dawes is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Matthew Dawes has authored 11 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Physiology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Matthew Dawes's work include Nitric Oxide and Endothelin Effects (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Infective Endocarditis Diagnosis and Management (2 papers). Matthew Dawes is often cited by papers focused on Nitric Oxide and Endothelin Effects (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Infective Endocarditis Diagnosis and Management (2 papers). Matthew Dawes collaborates with scholars based in United Kingdom, New Zealand and Canada. Matthew Dawes's co-authors include Phil Chowienczyk, James M. Ritter, Rahul Dwivedi, Trevor Delves, Christine E. Sieniawska, James P. Fisher, Christopher J. Boos, Cyrus Daneshvar, Karen L. Angus and Julian F. R. Paton and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Cardiovascular Research.

In The Last Decade

Matthew Dawes

9 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Dawes United Kingdom 5 173 115 78 61 45 11 392
Sahar A. El-Masry Egypt 10 61 0.4× 81 0.7× 90 1.2× 48 0.8× 54 1.2× 58 315
Şenol Coşkun Türkiye 11 109 0.6× 93 0.8× 40 0.5× 48 0.8× 31 0.7× 56 451
Anastasios Gazis United Kingdom 11 131 0.8× 122 1.1× 31 0.4× 44 0.7× 96 2.1× 18 672
Shivaprakash Jagalur Mutt Finland 13 35 0.2× 159 1.4× 88 1.1× 31 0.5× 60 1.3× 23 556
Morten Asp Vonsild Lund Denmark 13 50 0.3× 158 1.4× 73 0.9× 71 1.2× 96 2.1× 46 518
Mario Lombardi Italy 6 150 0.9× 58 0.5× 52 0.7× 18 0.3× 77 1.7× 11 392
Jana Malinčíková Czechia 7 54 0.3× 83 0.7× 80 1.0× 33 0.5× 53 1.2× 12 339
Shakir Chowdhury United Kingdom 4 75 0.4× 215 1.9× 280 3.6× 20 0.3× 34 0.8× 7 471
Mehmet Boyraz Türkiye 10 89 0.5× 68 0.6× 32 0.4× 28 0.5× 74 1.6× 33 382
Toshikazu Nishio Japan 9 169 1.0× 45 0.4× 43 0.6× 31 0.5× 52 1.2× 39 317

Countries citing papers authored by Matthew Dawes

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Dawes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Dawes

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

All Works

11 of 11 papers shown
1.
Bassetto, Marcella, Jui‐Lin Fan, Audrys G. Pauža, et al.. (2025). Vitamin B6 (Pyridoxal 5′ Phosphate) antagonises carotid body P2X3 receptors in hypertension. Cardiovascular Research. 122(2). 285–296.
3.
Vianna, Lauro C., et al.. (2020). Neurovascular coupling is not influenced by lower body negative pressure in humans. American Journal of Physiology-Heart and Circulatory Physiology. 319(1). H22–H31. 4 indexed citations
5.
Wang, Tom Kai Ming, Aaron Lin, Harvey D. White, et al.. (2018). Management of suspected acute coronary syndrome patients admitted to cardiology or non-cardiology services at Auckland City Hospital: implications for future national data collection.. PubMed. 131(1471). 30–39. 1 indexed citations
6.
Dawes, Matthew, et al.. (2008). A case of pneumococcal aortitis presenting with back pain.. PubMed. 121(1281). 83–6. 1 indexed citations
7.
Boos, Christopher J., et al.. (2004). An unusual case of chronic meningitis. BMC Family Practice. 5(1). 21–21. 4 indexed citations
8.
Dawes, Matthew, Christine E. Sieniawska, Trevor Delves, et al.. (2002). Barium Reduces Resting Blood Flow and Inhibits Potassium-Induced Vasodilation in the Human Forearm. Circulation. 105(11). 1323–1328. 45 indexed citations
9.
Dawes, Matthew & Phil Chowienczyk. (2001). Pharmacokinetics in pregnancy. Best Practice & Research Clinical Obstetrics & Gynaecology. 15(6). 819–826. 151 indexed citations
10.
Dawes, Matthew & James M. Ritter. (2000). Mg<sup>2+</sup>-Induced Vasodilation in Human Forearm Vasculature Is Inhibited by N<sup>G</sup>-Monomethyl- <i>L</i>-Arginine but Not by Indometacin. Journal of Vascular Research. 37(4). 276–281. 6 indexed citations
11.
Dawes, Matthew, Phil Chowienczyk, & James M. Ritter. (1997). Effects of Inhibition of thel-Arginine/Nitric Oxide Pathway on Vasodilation Caused by β-Adrenergic Agonists in Human Forearm. Circulation. 95(9). 2293–2297. 178 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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