Gregory M. Ayers
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- Atrial Fibrillation Management and Outcomes 45
- Cardiac Arrhythmias and Treatments 43
- Cardiac electrophysiology and arrhythmias 30
- Cardiac pacing and defibrillation studies 28
- ECG Monitoring and Analysis 2
- Cardiovascular Function and Risk Factors 2
- Internal Medicine top 10%
- Economics and Econometrics top 10%
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- Cardiac Structural Anomalies and Repair 3
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- Cardiac Imaging and Diagnostics 3
- Co-authors
- Chu‐Pak LauHung‐Fat TseCarl TimmermansWerner JungBerndt LüderitzA. John CammLuz‐Maria RodriguezMasood Akhtar
- Journals
- Pacing and Clinical Electrophysiology (16 papers)Journal of the American College of Cardiology (15 papers)Circulation (8 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Gregory M. Ayers
61 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 2.0k
- Internal Medicine 30
- Economics and Econometrics 93
- Surgery 108
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Gregory M. Ayers
This map shows the geographic impact of Gregory M. Ayers'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 Gregory M. Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory M. Ayers more than expected).
Fields of papers citing papers by Gregory M. Ayers
This network shows the impact of papers produced by Gregory M. Ayers. 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 Gregory M. Ayers. The network helps show where Gregory M. Ayers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory M. Ayers, 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 | 2004 | 1 | |
| 2 | 2004 | 10 | |
| 3 | 2003 | 1 | |
| 4 | 2000 | 1 | |
| 5 | 2000 | 0 | |
| 6 | 2000 | 459 | |
| 7 | 2000 | 2 | |
| 8 | 1999 | 40 | |
| 9 | 1999 | 78 | |
| 10 | 1999 | 2 | |
| 11 | 1999 | 10 | |
| 12 | 1998 | 1 | |
| 13 | 1997 | 49 | |
| 14 | 1997 | 2 | |
| 15 | 1996 | 22 | |
| 16 | 1996 | 0 | |
| 17 | 1995 | 4 | |
| 18 | 1994 | 16 | |
| 19 | 1992 | 71 | |
| 20 | 1992 | 14 |
About Gregory M. Ayers
Gregory M. Ayers is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Electrochemistry, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (45 papers), Cardiac Arrhythmias and Treatments (43 papers), Cardiac electrophysiology and arrhythmias (30 papers), Cardiac pacing and defibrillation studies (28 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac Structural Anomalies and Repair (3 papers), ECG Monitoring and Analysis (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Internal Medicine (30 citations) and Economics and Econometrics (93 citations). Gregory M. Ayers has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chu‐Pak Lau, Hung‐Fat Tse, Carl Timmermans, Werner Jung, Berndt Lüderitz, A. John Camm, Luz‐Maria Rodriguez, Masood Akhtar, Paul Dorian and David Newman. Their work appears in journals such as Pacing and Clinical Electrophysiology, Journal of the American College of Cardiology, Circulation, Journal of Cardiovascular Electrophysiology and The American Journal of Cardiology.
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.