Nigel Stephens

3.5k total citations · 1 hit paper
16 papers, 2.5k citations indexed

About

Nigel Stephens is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nigel Stephens has authored 16 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nigel Stephens's work include Cardiovascular Effects of Exercise (4 papers), Vascular Procedures and Complications (3 papers) and Cardiac Arrhythmias and Treatments (2 papers). Nigel Stephens is often cited by papers focused on Cardiovascular Effects of Exercise (4 papers), Vascular Procedures and Complications (3 papers) and Cardiac Arrhythmias and Treatments (2 papers). Nigel Stephens collaborates with scholars based in United Kingdom, Australia and South Africa. Nigel Stephens's co-authors include A Parsons, Matthew A. Brown, Peter M. Schofield, Frank J. Kelly, Kevin H. Cheeseman, Sue Monteith, Aroon D. Hingorani, Kevin M. O’Shaughnessy, Ruth Hopper and Stephen Haydock and has published in prestigious journals such as The Lancet, Circulation and European Heart Journal.

In The Last Decade

Nigel Stephens

16 papers receiving 2.4k citations

Hit Papers

Randomised controlled trial of vitamin E in patients with... 1996 2026 2006 2016 1996 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel Stephens United Kingdom 12 1.1k 760 753 452 396 16 2.5k
A Parsons United Kingdom 5 1.2k 1.1× 555 0.7× 854 1.1× 478 1.1× 328 0.8× 8 2.3k
Zipora Matas Israel 33 368 0.3× 599 0.8× 558 0.7× 527 1.2× 481 1.2× 68 3.3k
Roberto Marchioli Italy 21 385 0.4× 926 1.2× 1.4k 1.8× 402 0.9× 652 1.6× 38 3.2k
Joseph Awad United States 27 980 0.9× 221 0.3× 569 0.8× 333 0.7× 400 1.0× 59 3.3k
J MORROW United States 11 834 0.8× 211 0.3× 411 0.5× 325 0.7× 202 0.5× 12 1.9k
Gabriele Bittolo Bon Italy 20 590 0.6× 451 0.6× 392 0.5× 217 0.5× 902 2.3× 43 2.3k
M. F. Oliver United Kingdom 20 455 0.4× 692 0.9× 481 0.6× 241 0.5× 675 1.7× 49 2.6k
Kamal F. Badr United States 26 202 0.2× 420 0.6× 217 0.3× 528 1.2× 258 0.7× 76 2.2k
Sharon Arrol United Kingdom 29 362 0.3× 392 0.5× 358 0.5× 161 0.4× 996 2.5× 43 4.7k
Anna Fratta Pasini Italy 23 342 0.3× 430 0.6× 206 0.3× 354 0.8× 326 0.8× 29 2.2k

Countries citing papers authored by Nigel Stephens

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel Stephens

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

All Works

16 of 16 papers shown
1.
Burgess, N., et al.. (2019). Bfloat16 Processing for Neural Networks. 88–91. 51 indexed citations
2.
Mittal, Tarun, Alison Pottle, Mahmoud Barbir, et al.. (2017). Prevalence of obstructive coronary artery disease and prognosis in patients with stable symptoms and a zero-coronary calcium score. European Heart Journal - Cardiovascular Imaging. 18(8). 922–929. 54 indexed citations
3.
Whyte, Gregory P., Nigel Stephens, Roxy Senior, et al.. (2008). Differentiation of RVOT-VT and ARVC in an Elite Athlete. Medicine & Science in Sports & Exercise. 40(8). 1357–1361. 12 indexed citations
4.
Whyte, Gregory P., Nigel Stephens, Roxy Senior, et al.. (2007). Treat the patient not the blood test: the implications of an increase in cardiac troponin after prolonged endurance exercise. British Journal of Sports Medicine. 41(9). 613–615. 15 indexed citations
5.
Whyte, Greg, Keith George, Sanjay Sharma, et al.. (2004). The upper limit of physiological cardiac hypertrophy in elite male and female athletes: the British experience. European Journal of Applied Physiology. 92(4-5). 592–7. 97 indexed citations
6.
Whyte, Gregory P., Nigel Stephens, Shishir Sharma, et al.. (2004). Spontaneous atrial fibrillation in a freestyle skier. British Journal of Sports Medicine. 38(2). 230–232. 4 indexed citations
7.
Whyte, Gregory P., Nigel Stephens, Richard Budgett, et al.. (2004). Exercise induced neurally mediated syncope in an elite rower: a treatment dilemma. British Journal of Sports Medicine. 38(1). 84–85. 4 indexed citations
8.
Soman, Prem, et al.. (2001). Apical hypertrophic cardiomyopathy: Bedside diagnosis by intravenous contrast echocardiography. Journal of the American Society of Echocardiography. 14(4). 311–313. 32 indexed citations
9.
Hingorani, Aroon D., Sue Monteith, A Parsons, et al.. (1999). A Common Variant of the Endothelial Nitric Oxide Synthase (Glu298→Asp) Is a Major Risk Factor for Coronary Artery Disease in the UK. Circulation. 100(14). 1515–1520. 439 indexed citations
10.
Davey, Peter, et al.. (1998). Cost–effectiveness of vitamin E therapy in the treatment of patients with angiographically proven coronary narrowing (CHAOS trial). The American Journal of Cardiology. 82(4). 414–417. 19 indexed citations
11.
Hildick‐Smith, David, Martin Löwe, John Walsh, et al.. (1998). Coronary angiography from the radial artery – experience, complications and limitations. International Journal of Cardiology. 64(3). 231–239. 91 indexed citations
12.
Hildick‐Smith, David, Peter Ludman, Martin Löwe, et al.. (1998). Comparison of Radial Versus Brachial Approaches for Diagnostic Coronary Angiography When the Femoral Approach Is Contraindicated. The American Journal of Cardiology. 81(6). 770–772. 41 indexed citations
13.
Ludman, Peter, Nigel Stephens, Alun Harcombe, et al.. (1997). Radial Versus Femoral Approach for Diagnostic Coronary Angiography in Stable Angina Pectoris. The American Journal of Cardiology. 79(9). 1239–1241. 61 indexed citations
14.
Rasmussen, Knut, Nigel Stephens, A Parsons, et al.. (1996). Risk Factor Reduction. European Heart Journal. 17(suppl 5). 536–537. 2 indexed citations
15.
Stephens, Nigel, A Parsons, Matthew A. Brown, et al.. (1996). Randomised controlled trial of vitamin E in patients with coronary disease: Cambridge Heart Antioxidant Study (CHAOS). The Lancet. 347(9004). 781–786. 1599 indexed citations breakdown →
16.
Stephens, Nigel, Peter Ludman, M C Petch, P M Schofield, & Leonard M. Shapiro. (1996). Changing from intensive anticoagulation to treatment with aspirin alone for coronary stents: the experience of one centre in the United Kingdom.. Heart. 76(3). 238–242. 4 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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