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
- Cardiac pacing and defibrillation studies 1
- Cardiovascular Function and Risk Factors 1
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- Mathematics and Applications 1
- Co-authors
- D. Craig Miller (1 shared paper)Philippe Pîbarot (1 shared paper)Pamela S. Douglas (1 shared paper)William J. Stewart (1 shared paper)Rebecca T. Hahn (1 shared paper)Thomas McAndrew (1 shared paper)Vinod H. Thourani (1 shared paper)Lars G. Svensson (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
- United StatesCanadaItaly
In The Last Decade
John Webb
5 papers receiving 311 citations
Peers
Comparison fields: 5 of 36
- Cardiology and Cardiovascular Medicine 284
- Epidemiology 120
- Pulmonary and Respiratory Medicine 61
- Theoretical Computer Science 2
- Radiology, Nuclear Medicine and Imaging 21
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 | 283 | |
| 2 | 1987 | 16 | |
| 3 | 2013 | 9 | |
| 4 | 1995 | 6 | |
| 5 | 1996 | 1 | |
| 6 | 2014 | 0 |
About John Webb
John Webb is a scholar working on Cardiology and Cardiovascular Medicine, Geometry and Topology, Marketing, Epidemiology and Computational Theory and Mathematics, having authored 6 papers that have together received 315 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (3 papers), History and Theory of Mathematics (1 paper), Consumer Behavior in Brand Consumption and Identification (1 paper), Infective Endocarditis Diagnosis and Management (1 paper), Cardiac pacing and defibrillation studies (1 paper), Mathematics, Computing, and Information Processing (1 paper), Mathematics and Applications (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (284 citations), Epidemiology (120 citations), Pulmonary and Respiratory Medicine (61 citations), Theoretical Computer Science (2 citations) and Radiology, Nuclear Medicine and Imaging (21 citations). John Webb has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include D. Craig Miller, Philippe Pîbarot, Pamela S. Douglas, William J. Stewart, Rebecca T. Hahn, Thomas McAndrew, Vinod H. Thourani, Lars G. Svensson, Josep Rodés‐Cabau and Michael J. Mack. 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.