Michael Cunnington

2.0k citations
33 papers · 651 · h-index 12

Impact in

Papers in

Michael Cunnington

27 papers receiving 638 citations

Peers

Michael Cunnington
Comparison fields: 5 of 47
  • Cancer Research 159
  • Cardiology and Cardiovascular Medicine 191
  • Radiology, Nuclear Medicine and Imaging 80
  • Molecular Biology 210
  • Genetics 75
Replace Vicente Furió with:
Vicente Furió Spain
Stephanie LaHaye United States
Mickaël Rosa France
Ren An China
Thomas Scherz Austria
Nicola Corcione Italy
Ferrin C. Wheeler United States
Tianhong Xu China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Cunnington

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cunnington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Cunnington, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Cunnington Line = papers co-authored together Michael Cunnington links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010294
2
Relationship of aortic annular eccentricity and paravalvular regurgitation post transcatheter aortic valve implantation with CoreValve.
201360
3 201554
4 201135
5 201134
6 201230
7 200927
8 202017
9 201215
10 202314
11 201012
12 200811
13 202010
14 20167
15 20096
16 20215
17 20145
18 20183
19 20222
20 20112

About Michael Cunnington

Michael Cunnington is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 33 papers that have together received 651 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (15 papers), Cardiac Imaging and Diagnostics (9 papers), Coronary Interventions and Diagnostics (4 papers), Cardiac pacing and defibrillation studies (3 papers), Advanced MRI Techniques and Applications (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Vascular Procedures and Complications (2 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Cancer Research (159 citations), Cardiology and Cardiovascular Medicine (191 citations), Radiology, Nuclear Medicine and Imaging (80 citations), Molecular Biology (210 citations) and Genetics (75 citations). Michael Cunnington has collaborated with scholars based in United Kingdom, Australia and South Africa. Frequent co-authors include Bernard Keavney, Mauro Santibáñez Koref, Bongani M. Mayosi, John Burn, Mohaned Egred, Dennis T. L. Wong, A. Bertaso, M. Worthley, J. David Richardson and Stephen G. Worthley. Their work appears in journals such as Catheterization and Cardiovascular Interventions, QJM, BMC Cardiovascular Disorders, Coronary Artery Disease and BMC Genetics.

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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