Eva Sammut
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Amedeo ChiribiriReza RazaviAdriana VillaRodolfo BonaminiRonak RajaniArjun NairGerald Carr‐WhiteManav Sohal
- Topics
- Cardiac Imaging and Diagnostics (25 papers)Cardiovascular Function and Risk Factors (20 papers)Advanced MRI Techniques and Applications (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- United KingdomFranceNetherlands
In The Last Decade
Eva Sammut
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 802
- Radiology, Nuclear Medicine and Imaging 495
- Surgery 277
- Biomedical Engineering 230
- Pulmonary and Respiratory Medicine 175
Countries citing papers authored by Eva Sammut
This map shows the geographic impact of Eva Sammut'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 Eva Sammut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Sammut more than expected).
Fields of papers citing papers by Eva Sammut
This network shows the impact of papers produced by Eva Sammut. 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 Eva Sammut. The network helps show where Eva Sammut may publish in the future.
Co-authorship network of co-authors of Eva Sammut
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Sammut. A scholar is included among the top collaborators of Eva Sammut 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 Eva Sammut. Eva Sammut 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 | 9 | |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 174 | |
| 13 | 6 | |
| 14 | 57 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | 41 | |
| 18 | 8 | |
| 19 | 34 | |
| 20 | 48 |
About Eva Sammut
Eva Sammut is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Emergency Medicine, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (25 papers), Cardiovascular Function and Risk Factors (20 papers) and Advanced MRI Techniques and Applications (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (802 citations), Radiology, Nuclear Medicine and Imaging (495 citations) and Surgery (277 citations). Eva Sammut has collaborated with scholars based in United Kingdom, France and Netherlands. Frequent co-authors include Amedeo Chiribiri, Reza Razavi, Adriana Villa, Rodolfo Bonamini, Ronak Rajani, Arjun Nair, Gerald Carr‐White, Manav Sohal, Jack Lee and Christopher A. Rinaldi. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.