Anne Casey
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiovascular Effects of Exercise
- Cardiac pacing and defibrillation studies
- Cardiac Arrhythmias and Treatments
- Cardiomyopathy and Myosin Studies
- Emergency Medicine top 10%
- Cardiac Arrest and Resuscitation
Papers in
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- Ion channel regulation and function 2
- Mitochondrial Function and Pathology 1
-
- Cardiac electrophysiology and arrhythmias 2
- Cardiomyopathy and Myosin Studies 1
- Co-authors
- Matthew Wright (2 shared papers)Elijah R. Behr (2 shared papers)D Wood (2 shared papers)Mary N. Sheppard (2 shared papers)William J. McKenna (2 shared papers)Melanie J. Davies (2 shared papers)Petros Syrris (1 shared paper)T J Bowker (1 shared paper)
- Journals
- Trends in Cardiovascular Medicine (2 papers)Heart (1 paper)Journal of Perinatology (1 paper)The Lancet (1 paper)Journal of Global Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Anne Casey
10 papers receiving 325 citations
Peers
Comparison fields: 5 of 45
- Cardiology and Cardiovascular Medicine 244
- Emergency Medicine 44
- Radiological and Ultrasound Technology 8
- Endocrine and Autonomic Systems 9
- Research and Theory 1
Countries citing papers authored by Anne Casey
This map shows the geographic impact of Anne Casey'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 Anne Casey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Casey more than expected).
Fields of papers citing papers by Anne Casey
This network shows the impact of papers produced by Anne Casey. 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 Anne Casey. The network helps show where Anne Casey may publish in the future.
Co-authors
The 18 scholars most cited alongside Anne Casey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 199 | |
| 2 | 2007 | 91 | |
| 3 | 2016 | 16 | |
| 4 | 2013 | 15 | |
| 5 | 2000 | 9 | |
| 6 | 2018 | 5 | |
| 7 | Nurses and NHS IT Developments | 2004 | 4 |
| 8 | 1994 | 2 | |
| 9 | 1989 | 2 | |
| 10 | 2017 | 1 |
About Anne Casey
Anne Casey is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Computer Networks and Communications and Health, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (2 papers), Ion channel regulation and function (2 papers), Genetic Neurodegenerative Diseases (2 papers), Nonlinear Dynamics and Pattern Formation (1 paper), Indigenous Health, Education, and Rights (1 paper), Mitochondrial Function and Pathology (1 paper), Cardiomyopathy and Myosin Studies (1 paper) and Indigenous Studies and Ecology (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (244 citations), Emergency Medicine (44 citations), Radiological and Ultrasound Technology (8 citations), Endocrine and Autonomic Systems (9 citations) and Research and Theory (1 citation). Anne Casey has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Matthew Wright, Elijah R. Behr, D Wood, Mary N. Sheppard, William J. McKenna, Melanie J. Davies, Petros Syrris, T J Bowker, Ana Antunes and Helen Harrison. Their work appears in journals such as Trends in Cardiovascular Medicine, Heart, Journal of Perinatology, The Lancet and Journal of Global Oncology.
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.