Rupert Williams
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Epidemiology
- Co-authors
- Sven PleinEmanuela R. Valsangiacomo BuechelAlicia M. MaceiraDavid A. BluemkeJens Vogel‐ClaussenMichael TeeNadine Kawel‐BoehmEvrim Türkbey
- Topics
- Cardiac Imaging and Diagnostics (20 papers)Cardiovascular Function and Risk Factors (7 papers)Coronary Interventions and Diagnostics (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineDevelopmental NeuroscienceRadiology, Nuclear Medicine and Imaging
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Rupert Williams
28 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 837
- Radiology, Nuclear Medicine and Imaging 543
- Surgery 314
- Pathology and Forensic Medicine 228
- Epidemiology 188
Countries citing papers authored by Rupert Williams
This map shows the geographic impact of Rupert Williams'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 Rupert Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupert Williams more than expected).
Fields of papers citing papers by Rupert Williams
This network shows the impact of papers produced by Rupert Williams. 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 Rupert Williams. The network helps show where Rupert Williams may publish in the future.
Co-authorship network of co-authors of Rupert Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Rupert Williams. A scholar is included among the top collaborators of Rupert Williams 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 Rupert Williams. Rupert Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 72 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 56 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Normal values for cardiovascular magnetic resonance in adults and childrenbreakdown → | 544 |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 38 | |
| 19 | 19 | |
| 20 | 1 |
About Rupert Williams
Rupert Williams is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Developmental Neuroscience, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (20 papers), Cardiovascular Function and Risk Factors (7 papers) and Coronary Interventions and Diagnostics (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (837 citations), Developmental Neuroscience (145 citations) and Radiology, Nuclear Medicine and Imaging (543 citations). Rupert Williams has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Sven Plein, Emanuela R. Valsangiacomo Buechel, Alicia M. Maceira, David A. Bluemke, Jens Vogel‐Claussen, Michael Tee, Nadine Kawel‐Boehm, Evrim Türkbey, John Eng and Simon Redwood. Their work appears in journals such as The Lancet, Circulation and Journal of the American College 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.