Tony Stanton
- Cardiology and Cardiovascular Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Nephrology top 2%
- Surgery top 10%
- Molecular Biology
- Co-authors
- Thomas H. MarwickRodel LeanoNicole M. IsbelBrian HaluskaCarmel M. HawleyRathika KrishnasamyJames HareDavid W. Johnson
- Topics
- Cardiac Imaging and Diagnostics (26 papers)Cardiovascular Function and Risk Factors (26 papers)Blood Pressure and Hypertension Studies (12 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Tony Stanton
80 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 1.7k
- Radiology, Nuclear Medicine and Imaging 811
- Nephrology 296
- Surgery 295
- Molecular Biology 209
Countries citing papers authored by Tony Stanton
This map shows the geographic impact of Tony Stanton'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 Tony Stanton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Stanton more than expected).
Fields of papers citing papers by Tony Stanton
This network shows the impact of papers produced by Tony Stanton. 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 Tony Stanton. The network helps show where Tony Stanton may publish in the future.
Co-authorship network of co-authors of Tony Stanton
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Stanton. A scholar is included among the top collaborators of Tony Stanton 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 Tony Stanton. Tony Stanton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 28 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | A family history of premature cardiovascular disease is independently associated with increased carotid intima-media thickness | 1 |
| 14 | 57 | |
| 15 | 23 | |
| 16 | 25 | |
| 17 | What is the best predictor of outcome: ejection fraction or global strain? | 1 |
| 18 | Reduced pressure-volume response to exercise may reflect subclinical myocardial disease in type 2 diabetes | 2 |
| 19 | Variation at the beta-1 adrenoceptor gene locus affects left ventricular mass in renal failure. | 15 |
| 20 | 34 |
About Tony Stanton
Tony Stanton is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (26 papers), Cardiovascular Function and Risk Factors (26 papers) and Blood Pressure and Hypertension Studies (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Nephrology (296 citations) and Radiology, Nuclear Medicine and Imaging (811 citations). Tony Stanton has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Thomas H. Marwick, Rodel Leano, Nicole M. Isbel, Brian Haluska, Carmel M. Hawley, Rathika Krishnasamy, James Hare, David W. Johnson, Katrina L. Campbell and Elaine M. Pascoe. Their work appears in journals such as Circulation, Journal of the American College of Cardiology 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.