Martin Hayward
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- James MoonChristopher G.A. McGregorAndrew M. TaylorMichael S. HansenPerry ElliottAndrew FlettMichael T. AshworthSukumaran Nair
- Topics
- Cardiac electrophysiology and arrhythmias (19 papers)ECG Monitoring and Analysis (12 papers)Ion channel regulation and function (8 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Martin Hayward
35 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 1.1k
- Radiology, Nuclear Medicine and Imaging 461
- Surgery 401
- Molecular Biology 266
- Pulmonary and Respiratory Medicine 144
Countries citing papers authored by Martin Hayward
This map shows the geographic impact of Martin Hayward'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 Martin Hayward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Hayward more than expected).
Fields of papers citing papers by Martin Hayward
This network shows the impact of papers produced by Martin Hayward. 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 Martin Hayward. The network helps show where Martin Hayward may publish in the future.
Co-authorship network of co-authors of Martin Hayward
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hayward. A scholar is included among the top collaborators of Martin Hayward 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 Martin Hayward. Martin Hayward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 28 | |
| 7 | 16 | |
| 8 | Population of human ventricular cell models calibrated with in vivo measurements unravels ionic mechanisms of cardiac alternans | 3 |
| 9 | Equilibrium Contrast Cardiovascular Magnetic Resonance for the Measurement of Diffuse Myocardial Fibrosisbreakdown → | 689 |
| 10 | 2 | |
| 11 | 64 | |
| 12 | 16 | |
| 13 | 65 | |
| 14 | 6 | |
| 15 | 110 | |
| 16 | 38 | |
| 17 | 22 | |
| 18 | 59 | |
| 19 | 6 | |
| 20 | 3 |
About Martin Hayward
Martin Hayward is a scholar working on Cardiology and Cardiovascular Medicine, Electrochemistry and Internal Medicine, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), ECG Monitoring and Analysis (12 papers) and Ion channel regulation and function (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Radiology, Nuclear Medicine and Imaging (461 citations) and Surgery (401 citations). Martin Hayward has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include James Moon, Christopher G.A. McGregor, Andrew M. Taylor, Michael S. Hansen, Perry Elliott, Andrew Flett, Michael T. Ashworth, Sukumaran Nair, Matus Petko and Richard H. Clayton. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.