P. W. Macfarlane

2.8k total citations
63 papers, 2.0k citations indexed

About

P. W. Macfarlane is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, P. W. Macfarlane has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cardiology and Cardiovascular Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Surgery. Recurrent topics in P. W. Macfarlane's work include Cardiac electrophysiology and arrhythmias (15 papers), ECG Monitoring and Analysis (14 papers) and Cardiac Imaging and Diagnostics (10 papers). P. W. Macfarlane is often cited by papers focused on Cardiac electrophysiology and arrhythmias (15 papers), ECG Monitoring and Analysis (14 papers) and Cardiac Imaging and Diagnostics (10 papers). P. W. Macfarlane collaborates with scholars based in United Kingdom, United States and Germany. P. W. Macfarlane's co-authors include Mary Walker, A. G. Shaper, S. Goya Wannamethee, Stuart Pocock, A N Phillips, T. P. Whitehead, Derek G. Cook, Brian Devine, John G.F. Cleland and Gordon Murray and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

P. W. Macfarlane

57 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. W. Macfarlane United Kingdom 23 1.3k 291 263 239 196 63 2.0k
Pamela A. Sytkowski United States 12 932 0.7× 219 0.8× 252 1.0× 334 1.4× 232 1.2× 15 1.8k
H. Emerson Thomas United States 14 1.8k 1.3× 413 1.4× 268 1.0× 369 1.5× 165 0.8× 24 2.4k
Stuart D. Pringle United Kingdom 27 1.4k 1.1× 294 1.0× 196 0.7× 172 0.7× 176 0.9× 63 2.1k
Gerald T. Gau United States 29 1.5k 1.1× 604 2.1× 306 1.2× 350 1.5× 164 0.8× 79 2.4k
Andrzej Pająk Poland 8 1.2k 0.9× 321 1.1× 320 1.2× 283 1.2× 358 1.8× 8 2.4k
Anand Chockalingam United States 25 1.0k 0.8× 383 1.3× 185 0.7× 165 0.7× 169 0.9× 103 1.6k
Werner Benzer Austria 21 2.2k 1.7× 309 1.1× 392 1.5× 175 0.7× 168 0.9× 48 2.6k
Frederic L. Sax United States 18 885 0.7× 532 1.8× 276 1.0× 240 1.0× 69 0.4× 23 1.8k
Nancy Houston-Miller United States 17 1.6k 1.2× 458 1.6× 169 0.6× 165 0.7× 243 1.2× 25 2.4k
L. Julian Haywood United States 27 1.1k 0.8× 281 1.0× 270 1.0× 92 0.4× 65 0.3× 120 2.2k

Countries citing papers authored by P. W. Macfarlane

Since Specialization
Citations

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

Fields of papers citing papers by P. W. Macfarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. W. Macfarlane. 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 P. W. Macfarlane. The network helps show where P. W. Macfarlane may publish in the future.

Co-authorship network of co-authors of P. W. Macfarlane

This figure shows the co-authorship network connecting the top 25 collaborators of P. W. Macfarlane. A scholar is included among the top collaborators of P. W. Macfarlane 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 P. W. Macfarlane. P. W. Macfarlane 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.
Rahimi, Kazem, Jonathan Emberson, Paul McGale, et al.. (2011). Effect of statins on atrial fibrillation: collaborative meta-analysis of published and unpublished evidence from randomised controlled trials. BMJ. 342(mar16 2). d1250–d1250. 92 indexed citations
2.
Rahimi, Kazem, Jonathan Emberson, Paul McGale, et al.. (2009). Effect of statins on atrial fibrillation: a collaborative meta-analysis of randomised controlled trials. Oxford University Research Archive (ORA) (University of Oxford). 13 indexed citations
3.
Jennings, Marshall E., Brian Devine, Sha Luo, & P. W. Macfarlane. (2009). Enhanced software based detection of implanted cardiac pacemaker stimuli. 833–836. 4 indexed citations
4.
Clark, Elaine, Maria Sejersten, Peter Clemmensen, & P. W. Macfarlane. (2009). Effectiveness of electrocardiogram interpretation programs in the ambulance setting. 117–120. 4 indexed citations
5.
Cleland, John G.F., Dudley J. Pennell, SG Ray, et al.. (2003). Myocardial viability as a determinant of the ejection fraction response to carvedilol in patients with heart failure (CHRISTMAS trial): randomised controlled trial. The Lancet. 362(9377). 14–21. 190 indexed citations
6.
Macfarlane, P. W. & John Norrie. (2002). The prognostic value of the electrocardiogram in the west of Scotland coronary prevention study. European Heart Journal. 23. 628–628. 1 indexed citations
7.
Cleland, John G.F., Susan M. Ray, Zvi Vered, et al.. (2002). Can natriuretic peptides be used to monitor the response to carvedilol in patients with ischaemic left ventricular systolic dysfunction. Circulation. 106(19). 707–707. 2 indexed citations
8.
Cleland, John G.F., Dudley J. Pennell, Andrew J.S. Coats, et al.. (2002). The Carvedliol Hibernation Reversible Ischemia Trial: Marker of Success (CHRISTMAS). Journal of the American College of Cardiology. 39. 172–172. 1 indexed citations
9.
Macfarlane, P. W., et al.. (2002). Analysis of 24 hour ambulatory ECGs from the CHRISTMAS Study. Circulation. 106(19). 613–613. 1 indexed citations
10.
Macfarlane, P. W., et al.. (2002). Exercise levels predict cardiac vagal tone as measured by the Neuroscope. American Journal of Medical Genetics. 21(3). 463–70. 1 indexed citations
11.
Macfarlane, P. W., et al.. (2001). Reproducibility of a non-invasive real-time measure of cardiac parasympathetic activity. Physiological Measurement. 22(4). 661–672. 11 indexed citations
12.
Cobbe, Stuart M., et al.. (2000). CPR ‘98: A practical multimedia computer-based guide to cardiopulmonary resuscitation for medical students. Resuscitation. 44(2). 109–117. 33 indexed citations
13.
Macfarlane, P. W., et al.. (1999). Assesment of a new index of cardiac vagal tone. Circulation. 100(18). 157–157. 28 indexed citations
14.
Bemmel, Jan H. van, A M van Ginneken, H. Stam, et al.. (1998). Integration and communication for the continuity of cardiac care (I4C). Journal of Electrocardiology. 31. 60–68. 10 indexed citations
15.
Macfarlane, P. W.. (1995). In memoriam. Journal of Electrocardiology. 28. 251–253. 2 indexed citations
16.
Devine, Brian, et al.. (1994). Artificial neural networks for the diagnosis of atrial fibrillation. Medical & Biological Engineering & Computing. 32(6). 615–619. 54 indexed citations
17.
Macfarlane, P. W.. (1992). Recent developments in computer analysis of ECGs. Clinical Physiology. 12(3). 313–317. 8 indexed citations
18.
Murray, Andrew W., C G Morran, G. N. C. Kenny, P. W. Macfarlane, & John R. Anderson. (1991). Examination of cardiorespiratory changes during upper gastrointestinal endoscopy. Anaesthesia. 46(3). 181–184. 54 indexed citations
19.
Macfarlane, P. W., et al.. (1990). Normal limits of the high-fidelity pediatric ECG. Journal of Electrocardiology. 22. 162–168. 39 indexed citations
20.
Lorimer, A R, et al.. (1990). Antianginal Effect of Felodipine. Journal of Cardiovascular Pharmacology. 15(Supplement 4). S107–S107. 1 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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