Eva Sammut

1.8k total citations
67 papers, 1.2k citations indexed

About

Eva Sammut is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Eva Sammut has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cardiology and Cardiovascular Medicine, 29 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Surgery. Recurrent topics in Eva Sammut's work include Cardiac Imaging and Diagnostics (25 papers), Cardiovascular Function and Risk Factors (20 papers) and Advanced MRI Techniques and Applications (20 papers). Eva Sammut is often cited by papers focused on Cardiac Imaging and Diagnostics (25 papers), Cardiovascular Function and Risk Factors (20 papers) and Advanced MRI Techniques and Applications (20 papers). Eva Sammut collaborates with scholars based in United Kingdom, France and Netherlands. Eva Sammut's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Eva Sammut

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Sammut United Kingdom 20 802 495 277 230 175 67 1.2k
Gerald Carr‐White United Kingdom 23 1.6k 1.9× 609 1.2× 240 0.9× 148 0.6× 150 0.9× 63 1.8k
Jacqueline Flewitt Canada 17 628 0.8× 551 1.1× 258 0.9× 83 0.4× 131 0.7× 45 1.0k
Yasutaka Ichikawa Japan 17 656 0.8× 1.2k 2.5× 280 1.0× 325 1.4× 166 0.9× 74 1.5k
Dong Jin Im South Korea 17 383 0.5× 604 1.2× 141 0.5× 280 1.2× 232 1.3× 62 985
Sebastiaan C.A.M. Bekkers Netherlands 23 1.3k 1.6× 1.1k 2.3× 436 1.6× 236 1.0× 229 1.3× 86 2.0k
Robert W Biederman United States 21 1.3k 1.6× 711 1.4× 395 1.4× 172 0.7× 451 2.6× 171 1.8k
Randolph M. Setser United States 18 1.7k 2.1× 912 1.8× 423 1.5× 178 0.8× 202 1.2× 51 2.1k
Mihaela Amzulescu Belgium 19 1.2k 1.5× 704 1.4× 255 0.9× 95 0.4× 269 1.5× 42 1.5k
Riccardo Cau Italy 19 511 0.6× 458 0.9× 137 0.5× 110 0.5× 205 1.2× 84 914
Jadranka Stojanovska United States 22 513 0.6× 650 1.3× 155 0.6× 95 0.4× 240 1.4× 69 1.2k

Countries citing papers authored by Eva Sammut

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Dimitropoulos, Gerasimos, et al.. (2025). Recurrence of atrial fibrillation after cardiac surgery: long-term evidence from cardiac devices. Frontiers in Cardiovascular Medicine. 12. 1669461–1669461.
2.
Ascione, Raimondo, Vito Domenico Bruno, Tom Johnson, et al.. (2024). Intramyocardial immunomodulation with human CD16+ monocytes to treat myocardial infarction in pig: a blind randomized preclinical trial. Frontiers in Cardiovascular Medicine. 11. 1427023–1427023.
3.
Johnson, Tom, James Holt, Anna Kleyman, et al.. (2024). Development and translation of thiometallate sulfide donors using a porcine model of coronary occlusion and reperfusion. Redox Biology. 73. 103167–103167. 9 indexed citations
4.
Bisaccia, Giandomenico, Isabella Leo, Matthew Williams, et al.. (2023). CMR reclassifies the majority of patients with suspected MINOCA and non MINOCA. European Heart Journal - Cardiovascular Imaging. 25(1). 8–15. 6 indexed citations
5.
Tsampasian, Vasiliki, Andrew J. Swift, Amrit Chowdhary, et al.. (2021). Myocardial inflammation and energetics by cardiac MRI: a review of emerging techniques. BMC Medical Imaging. 21(1). 164–164. 15 indexed citations
6.
Wong, Chih, et al.. (2021). Impact of COVID-19 on Inpatient Referral of Acute Heart Failure: A Single-Centre Experience from the South-West of the UK. ESC Heart Failure. 8(2). 1691–1695. 22 indexed citations
7.
Kim, Yongcheol, Jonathan James Hyett Bray, Eva Sammut, et al.. (2021). Quantitative evaluation and comparison of coronary artery characteristics by 3D coronary volume reconstruction. Scientific Reports. 11(1). 1170–1170. 2 indexed citations
8.
Fletcher, James, Vito Domenico Bruno, Eva Sammut, et al.. (2020). Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging. PLoS ONE. 15(12). e0242908–e0242908. 7 indexed citations
9.
Davies, Graham, Eva Sammut, & Jessica Parker. (2018). 63Cardiac physiologist led implantable loop recorder service is feasible, safe and improves waiting times. EP Europace. 20. 1 indexed citations
10.
Villa, Adriana, Eva Sammut, Tevfik F. Ismail, et al.. (2018). Quantitative assessment of myocardial scar heterogeneity using cardiovascular magnetic resonance texture analysis to risk stratify patients post-myocardial infarction. Clinical Radiology. 73(12). 1059.e17–1059.e26. 19 indexed citations
11.
12.
Villa, Adriana, Eva Sammut, Arjun Nair, et al.. (2016). Coronary artery anomalies overview: The normal and the abnormal. World Journal of Radiology. 8(6). 537–537. 174 indexed citations
13.
14.
Asner, Liya, Myrianthi Hadjicharalambous, Radomí­r Chabiniok, et al.. (2015). Estimation of passive and active properties in the human heart using 3D tagged MRI. Biomechanics and Modeling in Mechanobiology. 15(5). 1121–1139. 57 indexed citations
15.
Sammut, Eva, Niloufar Zarinabad, Roman Wesołowski, et al.. (2015). Feasibility of high-resolution quantitative perfusion analysis in patients with heart failure. Journal of Cardiovascular Magnetic Resonance. 17(1). 13–13. 20 indexed citations
16.
Chiribiri, Amedeo, Adriana Villa, Eva Sammut, Marcel Breeuwer, & Eike Nagel. (2015). Perfusion dyssynchrony analysis. European Heart Journal - Cardiovascular Imaging. 17(12). 1414–1423. 5 indexed citations
17.
Hadjicharalambous, Myrianthi, Radomí­r Chabiniok, Liya Asner, et al.. (2014). Analysis of passive cardiac constitutive laws for parameter estimation using 3D tagged MRI. Biomechanics and Modeling in Mechanobiology. 14(4). 807–828. 41 indexed citations
18.
Asrress, Kaleab, Amedeo Chiribiri, Eva Sammut, et al.. (2014). Enhancing coronary Wave Intensity Analysis robustness by high order central finite differences. Artery Research. 8(3). 98–98. 8 indexed citations
19.
Sohal, Manav, Anoop Shetty, Simon Duckett, et al.. (2013). Noninvasive Assessment of LV Contraction Patterns Using CMR to Identify Responders to CRT. JACC. Cardiovascular imaging. 6(8). 864–873. 34 indexed citations
20.
Mozid, Abdul, Samer Arnous, Eva Sammut, & Anthony Mathur. (2011). Stem cell therapy for heart diseases. British Medical Bulletin. 98(1). 143–159. 48 indexed citations

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.

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