Peter McCartney

2.2k total citations
16 papers, 305 citations indexed

About

Peter McCartney is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Peter McCartney has authored 16 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Peter McCartney's work include Cardiac Imaging and Diagnostics (11 papers), Acute Myocardial Infarction Research (11 papers) and Coronary Interventions and Diagnostics (9 papers). Peter McCartney is often cited by papers focused on Cardiac Imaging and Diagnostics (11 papers), Acute Myocardial Infarction Research (11 papers) and Coronary Interventions and Diagnostics (9 papers). Peter McCartney collaborates with scholars based in United Kingdom, Australia and United States. Peter McCartney's co-authors include Colin Berry, Keith G. Oldroyd, Margaret McEntegart, Damien Collison, Thomas J. Ford, Annette Maznyczka, Barry Hennigan, Stuart Watkins, Richard Good and Hany Eteiba and has published in prestigious journals such as The Lancet, European Heart Journal and Journal of the American Heart Association.

In The Last Decade

Peter McCartney

14 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter McCartney United Kingdom 8 218 215 212 41 22 16 305
Aadil Shaukat United Kingdom 10 217 1.0× 217 1.0× 243 1.1× 49 1.2× 9 0.4× 18 347
Ferry MRJ Hersbach Netherlands 2 247 1.1× 290 1.3× 232 1.1× 29 0.7× 28 1.3× 3 363
Barry Hennigan United Kingdom 10 486 2.2× 458 2.1× 396 1.9× 68 1.7× 21 1.0× 21 560
Giovanni Seveso Italy 6 133 0.6× 236 1.1× 302 1.4× 18 0.4× 20 0.9× 10 352
Cataldo Memmola Italy 6 135 0.6× 195 0.9× 279 1.3× 51 1.2× 16 0.7× 16 341
Kenichiro Yuba Japan 10 203 0.9× 273 1.3× 407 1.9× 22 0.5× 13 0.6× 22 449
Gaetano Contegiacomo Italy 7 224 1.0× 157 0.7× 204 1.0× 61 1.5× 15 0.7× 27 290
Thomas B. Meany United States 7 210 1.0× 127 0.6× 220 1.0× 37 0.9× 15 0.7× 13 287
Koji Ono Japan 12 125 0.6× 134 0.6× 266 1.3× 42 1.0× 14 0.6× 22 328
Sakura Nagumo Japan 11 206 0.9× 276 1.3× 307 1.4× 27 0.7× 34 1.5× 31 397

Countries citing papers authored by Peter McCartney

Since Specialization
Citations

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

Fields of papers citing papers by Peter McCartney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter McCartney

This figure shows the co-authorship network connecting the top 25 collaborators of Peter McCartney. A scholar is included among the top collaborators of Peter McCartney 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 Peter McCartney. Peter McCartney 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.
McIntosh, Alasdair, Peter McCartney, Peter W. Macfarlane, et al.. (2025). Latent Cytomegalovirus Infection Is Associated With Impaired Left Ventricular Function After ST‐Segment–Elevation Myocardial Infarction. Journal of the American Heart Association. 14(16). e040584–e040584.
2.
McCartney, Peter, et al.. (2024). Bail-out glycoprotein IIb/IIIa inhibitors for coronary microvascular obstruction: guideline-indicated, but does harm outweigh benefit?. European Heart Journal. 45(47). 5068–5070. 2 indexed citations
3.
Collet, Carlos, Damien Collison, Takuya Mizukami, et al.. (2022). Differential Improvement in Angina and Health-Related Quality of Life After PCI in Focal and Diffuse Coronary Artery Disease. JACC: Cardiovascular Interventions. 15(24). 2506–2518. 43 indexed citations
4.
Ford, Thomas J., Carly Adamson, Andrew Morrow, et al.. (2022). Coronary Artery Perforations: Glasgow Natural History Study of Covered Stent Coronary Interventions (GNOCCI) Study. Journal of the American Heart Association. 11(19). e024492–e024492. 7 indexed citations
5.
Collison, Damien, et al.. (2022). Coronary perforation incidence and temporal trends (COPIT): systematic review and meta-analysis. European Heart Journal. 43(Supplement_2).
6.
Collison, Damien, Peter McCartney, Carly Adamson, et al.. (2022). Coronary perforation incidence, outcomes and temporal trends (COPIT): a systematic review and meta-analysis. Open Heart. 9(2). e002076–e002076. 14 indexed citations
7.
Maznyczka, Annette, David Carrick, Keith G. Oldroyd, et al.. (2021). Thermodilution-derived temperature recovery time: a novel predictor of microvascular reperfusion and prognosis after myocardial infarction. EuroIntervention. 17(3). 220–228. 4 indexed citations
8.
Howard, James P., Jeremy Tan, Matthew Shun‐Shin, et al.. (2020). Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography. PubMed. 3. 4–4. 37 indexed citations
9.
Maznyczka, Annette, Keith G. Oldroyd, John P. Greenwood, et al.. (2020). Comparative Significance of Invasive Measures of Microvascular Injury in Acute Myocardial Infarction. Circulation Cardiovascular Interventions. 13(5). e008505–e008505. 41 indexed citations
10.
Maznyczka, Annette, Keith G. Oldroyd, Peter McCartney, Margaret McEntegart, & Colin Berry. (2019). The Potential Use of the Index of Microcirculatory Resistance to Guide Stratification of Patients for Adjunctive Therapy in Acute Myocardial Infarction. JACC: Cardiovascular Interventions. 12(10). 951–966. 34 indexed citations
11.
Berry, Colin, Annette Maznyczka, & Peter McCartney. (2019). Failed myocardial reperfusion during primary PCI: an unmet therapeutic need. EuroIntervention. 14(16). 1628–1630. 1 indexed citations
12.
Ford, Thomas J., Peter McCartney, David Corcoran, et al.. (2018). Single‐ Versus 2‐Stent Strategies for Coronary Bifurcation Lesions: A Systematic Review and Meta‐Analysis of Randomized Trials With Long‐Term Follow‐up. Journal of the American Heart Association. 7(11). 46 indexed citations
13.
Corcoran, David, Robin Young, Pio Cialdella, et al.. (2017). The effects of remote ischaemic preconditioning on coronary artery function in patients with stable coronary artery disease. International Journal of Cardiology. 252. 24–30. 12 indexed citations
14.
Hennigan, Barry, Keith G. Oldroyd, Colin Berry, et al.. (2016). Discordance Between Resting and Hyperemic Indices of Coronary Stenosis Severity. Circulation Cardiovascular Interventions. 9(11). 57 indexed citations
15.
Sasieni, Peter, et al.. (1995). Cervical screening: what is the point?. The Lancet. 346(8969). 244–247. 2 indexed citations
16.
McMichael, J., et al.. (1977). RISK FACTORS IN CORONARY HEART-DISEASE. The Lancet. 309(8006). 304–304. 5 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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