Solenn Toupin

820 total citations
60 papers, 455 citations indexed

About

Solenn Toupin is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Solenn Toupin has authored 60 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Cardiology and Cardiovascular Medicine and 8 papers in Biomedical Engineering. Recurrent topics in Solenn Toupin's work include Cardiac Imaging and Diagnostics (42 papers), Advanced MRI Techniques and Applications (39 papers) and Cardiovascular Function and Risk Factors (23 papers). Solenn Toupin is often cited by papers focused on Cardiac Imaging and Diagnostics (42 papers), Advanced MRI Techniques and Applications (39 papers) and Cardiovascular Function and Risk Factors (23 papers). Solenn Toupin collaborates with scholars based in France, United States and Germany. Solenn Toupin's co-authors include Théo Pezel, Thierry Unterseeh, Thomas Hovasse, Jérôme Garot, Francesca Sanguineti, Stéphane Champagne, Philippe Garot, Bruno Quesson, Valéry Ozenne and Matthieu Lepetit‐Coiffé and has published in prestigious journals such as Radiology, European Heart Journal and Magnetic Resonance in Medicine.

In The Last Decade

Solenn Toupin

46 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Solenn Toupin France	13	378	236	126	48	22	60	455
Hossam El‐Rewaidy United States	13	477 1.3×	272 1.2×	172 1.4×	43 0.9×	19 0.9×	26	617
Sabrina Oebel Germany	8	259 0.7×	215 0.9×	87 0.7×	39 0.8×	23 1.0×	24	369
Jihye Jang United States	15	251 0.7×	272 1.2×	94 0.7×	63 1.3×	8 0.4×	28	458
Serge D. Van Kriekinge United States	14	528 1.4×	394 1.7×	137 1.1×	57 1.2×	34 1.5×	27	706
Smita Sampath United States	13	511 1.4×	487 2.1×	125 1.0×	114 2.4×	65 3.0×	46	732
Ayumi Uranishi Japan	8	272 0.7×	62 0.3×	191 1.5×	36 0.8×	95 4.3×	13	376
Patrick Pierce United States	14	254 0.7×	140 0.6×	80 0.6×	24 0.5×	19 0.9×	28	324
Robert J. Holtackers Netherlands	11	210 0.6×	199 0.8×	47 0.4×	35 0.7×	24 1.1×	42	323
Hélène Langet France	10	333 0.9×	385 1.6×	60 0.5×	48 1.0×	40 1.8×	23	511
Steve M. Collins United States	9	251 0.7×	276 1.2×	58 0.5×	54 1.1×	25 1.1×	12	367

Countries citing papers authored by Solenn Toupin

Since Specialization

Citations

This map shows the geographic impact of Solenn Toupin'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 Solenn Toupin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Solenn Toupin more than expected).

Fields of papers citing papers by Solenn Toupin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Solenn Toupin. 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 Solenn Toupin. The network helps show where Solenn Toupin may publish in the future.

Co-authorship network of co-authors of Solenn Toupin

This figure shows the co-authorship network connecting the top 25 collaborators of Solenn Toupin. A scholar is included among the top collaborators of Solenn Toupin 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 Solenn Toupin. Solenn Toupin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pezel, Théo, Solenn Toupin, Thierry Unterseeh, et al.. (2025). Machine learning model using CMR to predict cardiovascular events in asymptomatic patients with known CAD. Journal of Cardiovascular Magnetic Resonance. 27. 101270–101270. 1 indexed citations

Garot, Jérôme, Gilles Soulat, Charles Fauvel, et al.. (2025). Left and right atrioventricular coupling: state-of-the-art review. European Heart Journal - Cardiovascular Imaging. 27(3). 504–514.

Garot, Jérôme, Thomas Hovasse, Stéphane Champagne, et al.. (2025). Prediction of Cardiovascular Events Using Fully Automated Global Longitudinal and Circumferential Strain in Patients Undergoing Stress CMR. Circulation Cardiovascular Imaging. 18(10). e018350–e018350.

Toupin, Solenn, Théo Pezel, Thomas Hovasse, et al.. (2024). Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonance. European Heart Journal - Cardiovascular Imaging. 25(10). 1338–1348.

Florence, J., Jérôme Garot, Solenn Toupin, et al.. (2024). Incremental prognostic value of late gadolinium enhancement granularity in patients with hypertrophic cardiomyopathy. European Heart Journal. 45(Supplement_1).

Singh, Madhu, Solenn Toupin, Guillaume Cayla, et al.. (2024). Sex-specific models to predict 5-year mortality after ST-elevation myocardial infarction using machine learning: insight from FAST-MI registry. European Heart Journal. 45(Supplement_1).

Longère, Benjamin, Paul Carpentier, Augustin Coisne, et al.. (2023). A new compressed sensing cine cardiac MRI sequence with free-breathing real-time acquisition and fully automated motion-correction: A comprehensive evaluation. Diagnostic and Interventional Imaging. 104(11). 538–546. 8 indexed citations

Dillinger, Jean‐Guillaume, Théo Pezel, Guillaume Schurtz, et al.. (2023). Impact of carbon monoxide in smokers hospitalised with acute cardiac events. Archives of cardiovascular diseases. 117(1). S143–S143.

Toupin, Solenn, Théo Pezel, Philippe Garot, et al.. (2023). Optimal cut-off thresholds of LGE extent to predict death using machine-learning in a large cohort of ICM patients. Archives of cardiovascular diseases. 117(1). S65–S66. 1 indexed citations

10.

Pezel, Théo, Jean-Guillaume Dillinger, Solenn Toupin, et al.. (2023). Left atrioventricular coupling index assessed using cardiac CT as a prognostic marker of cardiovascular death. Diagnostic and Interventional Imaging. 104(12). 594–604. 11 indexed citations

11.

Toupin, Solenn, Francesca Sanguineti, Thomas Hovasse, et al.. (2023). Fully automated assessment of global longitudinal strain by machine learning predicts death in patients undergoing stress CMR. European Heart Journal. 44(Supplement_2). 1 indexed citations

12.

Pezel, Théo, Francesca Sanguineti, Philippe Garot, et al.. (2022). Machine-Learning Score Using Stress CMR for Death Prediction in Patients With Suspected or Known CAD. JACC. Cardiovascular imaging. 15(11). 1900–1913. 14 indexed citations

13.

Longère, Benjamin, Julien Pagniez, Augustin Coisne, et al.. (2021). Right Ventricular Volume and Function Assessment in Congenital Heart Disease Using CMR Compressed-Sensing Real-Time Cine Imaging. Journal of Clinical Medicine. 10(9). 1930–1930. 3 indexed citations

14.

Longère, Benjamin, Augustin Coisne, Julien Pagniez, et al.. (2021). 60-S Retrogated Compressed Sensing 2D Cine of the Heart: Sharper Borders and Accurate Quantification. Journal of Clinical Medicine. 10(11). 2417–2417. 4 indexed citations

15.

Longère, Benjamin, Augustin Coisne, Michaela Schmidt, et al.. (2021). Compressed Sensing Real-Time Cine Reduces CMR Arrhythmia-Related Artifacts. Journal of Clinical Medicine. 10(15). 3274–3274. 11 indexed citations

16.

Toupin, Solenn, Théo Pezel, Aurélien Bustin, & Hubert Cochet. (2021). Whole‐Heart High‐Resolution Late Gadolinium Enhancement: Techniques and Clinical Applications. Journal of Magnetic Resonance Imaging. 55(4). 967–987. 20 indexed citations

17.

Eliezer, Michaël, Solenn Toupin, Rémy Barbe, et al.. (2021). Iterative denoising accelerated 3D SPACE FLAIR sequence for brain MR imaging at 3T. Diagnostic and Interventional Imaging. 103(1). 13–20. 13 indexed citations

18.

Pezel, Théo, Philippe Garot, Thomas Hovasse, et al.. (2021). Vasodilatation stress cardiovascular magnetic resonance imaging: Feasibility, workflow and safety in a large prospective registry of more than 35,000 patients. Archives of cardiovascular diseases. 114(6-7). 490–503. 12 indexed citations

19.

Pezel, Théo, Francesca Sanguineti, Solenn Toupin, et al.. (2020). Feasibility and Prognostic Value of Vasodilator Stress Perfusion CMR in Patients With Atrial Fibrillation. JACC. Cardiovascular imaging. 14(2). 379–389. 20 indexed citations

20.

Ozenne, Valéry, Pierre Bour, Baudouin Denis de Senneville, et al.. (2019). Assessment of left ventricle magnetic resonance temperature stability in patients in the presence of arrhythmias. NMR in Biomedicine. 32(11). e4160–e4160. 8 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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