John Webb
Impact in
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- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
- Cardiac pacing and defibrillation studies
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- Infective Endocarditis Diagnosis and Management
Papers in
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- Cardiac Valve Diseases and Treatments 3
- Cardiovascular Function and Risk Factors 2
- Cardiac pacing and defibrillation studies 1
- Atrial Fibrillation Management and Outcomes 1
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- Infective Endocarditis Diagnosis and Management 2
- Co-authors
- Howard C. Herrmann (1 shared paper)Vinod H. Thourani (1 shared paper)Michael J. Mack (2 shared papers)Josep Rodés‐Cabau (2 shared papers)Philippe Pîbarot (1 shared paper)Lars G. Svensson (1 shared paper)Ke Xu (2 shared papers)Irene Hueter (1 shared paper)
- Journals
- Journal of the American College of Cardiology (3 papers)The Mathematical Gazette (1 paper)The Galpin Society Journal (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
John Webb
3 papers receiving 290 citations
Peers
Comparison fields: 5 of 19
- Cardiology and Cardiovascular Medicine 282
- Epidemiology 225
- Pulmonary and Respiratory Medicine 118
- Theoretical Computer Science 2
- Surgery 59
Countries citing papers authored by John Webb
This map shows the geographic impact of John Webb'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 John Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Webb more than expected).
Fields of papers citing papers by John Webb
This network shows the impact of papers produced by John Webb. 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 John Webb. The network helps show where John Webb may publish in the future.
Co-authors
The 25 scholars most cited alongside John Webb, 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 | 2014 | 274 | |
| 2 | 2013 | 9 | |
| 3 | 1987 | 8 | |
| 4 | 2014 | 0 | |
| 5 | 1996 | 0 |
About John Webb
John Webb is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Geometry and Topology, Computational Theory and Mathematics and Theoretical Computer Science, having authored 5 papers that have together received 291 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (3 papers), Infective Endocarditis Diagnosis and Management (2 papers), Cardiovascular Function and Risk Factors (2 papers), Mathematics and Applications (1 paper), Cardiac pacing and defibrillation studies (1 paper), Atrial Fibrillation Management and Outcomes (1 paper), Mathematics, Computing, and Information Processing (1 paper) and History and Theory of Mathematics (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (282 citations), Epidemiology (225 citations), Pulmonary and Respiratory Medicine (118 citations), Theoretical Computer Science (2 citations) and Surgery (59 citations). John Webb has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Howard C. Herrmann, Vinod H. Thourani, Michael J. Mack, Josep Rodés‐Cabau, Philippe Pîbarot, Lars G. Svensson, Ke Xu, Irene Hueter, D. Craig Miller and Scott Lim. Their work appears in journals such as Journal of the American College of Cardiology, The Mathematical Gazette and The Galpin Society Journal.
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.