M. G. Myers
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Surgery
- Molecular Biology
- Neurology top 10%
- Co-authors
- John W. NorrisMichael J. SoleC. T. DolleryDavid I. BernsteinLawrence R. StanberryR. ReevesC PachlRae Lyn Burke
- Topics
- Blood Pressure and Hypertension Studies (7 papers)Cardiovascular Syncope and Autonomic Disorders (3 papers)Herpesvirus Infections and Treatments (3 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
M. G. Myers
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 585
- Epidemiology 328
- Surgery 163
- Molecular Biology 127
- Neurology 118
Countries citing papers authored by M. G. Myers
This map shows the geographic impact of M. G. Myers'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 M. G. Myers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. G. Myers more than expected).
Fields of papers citing papers by M. G. Myers
This network shows the impact of papers produced by M. G. Myers. 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 M. G. Myers. The network helps show where M. G. Myers may publish in the future.
Co-authorship network of co-authors of M. G. Myers
This figure shows the co-authorship network connecting the top 25 collaborators of M. G. Myers. A scholar is included among the top collaborators of M. G. Myers 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 M. G. Myers. M. G. Myers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | 1 | |
| 3 | The 2000 Canadian recommendations for the management of hypertension: part two--diagnosis and assessment of people with high blood pressure. | 11 |
| 4 | 1 | |
| 5 | 6 | |
| 6 | A dose-response study of perindopril in hypertension: effects on blood pressure 6 and 24 h after dosing. Perindopril Multicentre Dose-Response Study Group. | 34 |
| 7 | White coat effect in treated hypertensive patients: sex differences. | 58 |
| 8 | General discussion on methodological aspects of the trough: peak measurement | 1 |
| 9 | 18 | |
| 10 | 73 | |
| 11 | Introduction: ambulatory blood pressure monitoring--an emerging technology. | 4 |
| 12 | 9 | |
| 13 | 175 | |
| 14 | 13 | |
| 15 | 12 | |
| 16 | 214 | |
| 17 | 126 | |
| 18 | New drugs in hypertension. | 3 |
| 19 | 66 | |
| 20 | 12 |
About M. G. Myers
M. G. Myers is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Anesthesiology and Pain Medicine, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Cardiovascular Syncope and Autonomic Disorders (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (585 citations), Family Practice (48 citations) and Virology (47 citations). M. G. Myers has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include John W. Norris, Michael J. Sole, C. T. Dollery, David I. Bernstein, Lawrence R. Stanberry, R. Reeves, C Pachl, Rae Lyn Burke, Paul Lewis and John L. Reid. Their work appears in journals such as New England Journal of Medicine, The Lancet and Stroke.
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.