Andrew Deaner

541 total citations
22 papers, 401 citations indexed

About

Andrew Deaner is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew Deaner has authored 22 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew Deaner's work include Cardiac Imaging and Diagnostics (7 papers), Innovations in Medical Education (6 papers) and Coronary Interventions and Diagnostics (4 papers). Andrew Deaner is often cited by papers focused on Cardiac Imaging and Diagnostics (7 papers), Innovations in Medical Education (6 papers) and Coronary Interventions and Diagnostics (4 papers). Andrew Deaner collaborates with scholars based in United Kingdom, United States and Netherlands. Andrew Deaner's co-authors include Adam Timmis, Kulasegaram Ranjadayalan, David Fluck, Paul Wilkinson, Khalid Barakat, Charles Knight, John Cunningham, Anthony Mathur, Pierre Monney and Charles Knight and has published in prestigious journals such as The Lancet, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Andrew Deaner

22 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Deaner United Kingdom 8 286 126 100 43 34 22 401
Pierre Legalery France 8 334 1.2× 122 1.0× 168 1.7× 32 0.7× 40 1.2× 10 482
Robert J. Goldberg United States 8 327 1.1× 109 0.9× 92 0.9× 38 0.9× 55 1.6× 9 492
Jamie Rankin Australia 12 342 1.2× 82 0.7× 128 1.3× 12 0.3× 38 1.1× 42 455
Hameem Changezi United States 8 329 1.2× 88 0.7× 169 1.7× 14 0.3× 48 1.4× 31 418
Steven J. Filby United States 9 184 0.6× 65 0.5× 77 0.8× 23 0.5× 27 0.8× 38 280
Rut Andrea Spain 16 505 1.8× 137 1.1× 123 1.2× 19 0.4× 91 2.7× 64 714
Stefano Tondi Italy 10 323 1.1× 83 0.7× 178 1.8× 13 0.3× 157 4.6× 28 441
Shailja V. Parikh United States 12 370 1.3× 75 0.6× 174 1.7× 15 0.3× 93 2.7× 20 461
Alfonso Castro Beiras Spain 14 395 1.4× 60 0.5× 146 1.5× 48 1.1× 115 3.4× 48 555
Andrea Di Lenarda Italy 11 173 0.6× 50 0.4× 50 0.5× 19 0.4× 20 0.6× 44 285

Countries citing papers authored by Andrew Deaner

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Deaner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Deaner

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Deaner. A scholar is included among the top collaborators of Andrew Deaner 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 Andrew Deaner. Andrew Deaner 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.
Ramasamy, Anantharaman, Ameer Khan, Jackie Cooper, et al.. (2022). Implications of computed tomography reconstruction algorithms on coronary atheroma quantification: Comparison with intravascular ultrasound. Journal of cardiovascular computed tomography. 17(1). 43–51. 4 indexed citations
2.
McNulty, Marie, et al.. (2021). Simulation training for clinicians returning to practice. British Journal of Hospital Medicine. 82(1). 1–13. 4 indexed citations
3.
Huang, Xingru, Jackie Cooper, Ajay Jain, et al.. (2021). End‐diastolic segmentation of intravascular ultrasound images enables more reproducible volumetric analysis of atheroma burden. Catheterization and Cardiovascular Interventions. 99(3). 706–713. 5 indexed citations
4.
Birns, Jonathan, et al.. (2020). Evaluation of training programmes mapped to the new internal medicine curriculum. Future Healthcare Journal. 7(2). 116–119. 2 indexed citations
5.
Bryant, Catherine, et al.. (2020). Training educational supervisors to support physician trainees returning to practice. Future Healthcare Journal. 7(2). 120–124. 4 indexed citations
6.
Ford, Charlotte, Anna Moore, Marie Fisk, et al.. (2020). A Springboard for physicians returning to practice. The Clinical Teacher. 18(3). 264–268. 3 indexed citations
7.
McNulty, Marie, E Carty, Indranil Chakravorty, et al.. (2019). Creation of novel training programmes mapped to the Joint Royal Colleges of Physicians Training Board Internal Medicine stage 1 curriculum. Future Healthcare Journal. 6(Suppl 1). s128–s128. 9 indexed citations
9.
Honarbakhsh, Shohreh, et al.. (2015). Syncope secondary to left ventricular outflow tract obstruction, an interesting presentation of infective endocarditis. BMJ Case Reports. 2015. bcr2015211920–bcr2015211920. 2 indexed citations
10.
Archbold, Andrew, et al.. (2010). Underuse of Thrombolytic Therapy in Acute Myocardial Infarction and Left Bundle Branch Block. Clinical Cardiology. 33(3). E25–9. 3 indexed citations
11.
Monney, Pierre, Neha Sekhri, Charles Knight, et al.. (2010). Acute myocarditis presenting as acute coronary syndrome: role of early cardiac magnetic resonance in its diagnosis. Heart. 97(16). 1312–1318. 100 indexed citations
12.
Archbold, Andrew, et al.. (2006). Hemoglobin concentration is an independent determinant of heart failure in acute coronary syndromes: cohort analysis of 2310 patients. American Heart Journal. 152(6). 1091–1095. 39 indexed citations
13.
Sekhri, Neha, C Knight, Andrew Deaner, et al.. (2004). The effect of diabetes on heart rate and other determinants of myocardial oxygen demand in acute coronary syndromes. Diabetic Medicine. 21(9). 1025–1031. 5 indexed citations
14.
Cunningham, John, et al.. (2003). Renal function and risk stratification in acute coronary syndromes. The American Journal of Cardiology. 91(9). 1051–1054. 71 indexed citations
15.
Baker, Christopher, C Knight, & Andrew Deaner. (2002). Spontaneous right coronary artery dissection. Heart. 88(2). 130–130. 1 indexed citations
16.
Barakat, Khalid, Paul Wilkinson, Andrew Deaner, et al.. (1999). How should age affect management of acute myocardial infarction? A prospective cohort study. The Lancet. 353(9157). 955–959. 107 indexed citations
17.
Deaner, Andrew, Daniela Flück, & Adam Timmis. (1996). Exertional atrioventricular block presenting with recurrent syncope: successful treatment by coronary angioplasty.. Heart. 75(6). 640–641. 6 indexed citations
18.
Scott, P. J., et al.. (1993). Imaging of pulmonary vascular disease by intravascular ultrasound. International journal of cardiac imaging. 9(3). 179–184. 13 indexed citations
19.
Deaner, Andrew, et al.. (1992). Assessment of coronary stent by intravascular ultrasound. International Journal of Cardiology. 36(1). 124–126. 8 indexed citations
20.
Deaner, Andrew, et al.. (1992). TEST/INFORM/RETEST: A USEFUL TECHNIQUE IN UNDERGRADUATE RHEUMATOLOGY TEACHING. Lara D. Veeken. 31(1). 49–51. 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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