Marianna Meo

765 total citations
29 papers, 441 citations indexed

About

Marianna Meo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Marianna Meo has authored 29 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Marianna Meo's work include Cardiac electrophysiology and arrhythmias (22 papers), Cardiac Arrhythmias and Treatments (16 papers) and Atrial Fibrillation Management and Outcomes (13 papers). Marianna Meo is often cited by papers focused on Cardiac electrophysiology and arrhythmias (22 papers), Cardiac Arrhythmias and Treatments (16 papers) and Atrial Fibrillation Management and Outcomes (13 papers). Marianna Meo collaborates with scholars based in France, United States and Monaco. Marianna Meo's co-authors include Rémi Dubois, Olivier Meste, Hubert Cochet, Jason D. Bayer, Caroline H. Roney, Nadir Saoudi, Decebal Gabriel Lațcu, Edward J. Vigmond, Derek Abbott and Mohamed Elgendi and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, American Journal of Physiology-Heart and Circulatory Physiology and PLoS Computational Biology.

In The Last Decade

Marianna Meo

26 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marianna Meo France 12 406 54 36 34 25 29 441
Chih‐Min Liu Taiwan 11 280 0.7× 27 0.5× 22 0.6× 28 0.8× 37 1.5× 60 333
H.J. Sih United States 11 672 1.7× 38 0.7× 27 0.8× 16 0.5× 23 0.9× 23 705
John Asta Canada 11 351 0.9× 64 1.2× 13 0.4× 28 0.8× 36 1.4× 40 427
Christiane Jungen Germany 14 490 1.2× 80 1.5× 16 0.4× 26 0.8× 49 2.0× 44 569
Ali Gharaviri Netherlands 13 431 1.1× 30 0.6× 100 2.8× 34 1.0× 36 1.4× 32 532
Adam Connolly United Kingdom 10 196 0.5× 34 0.6× 25 0.7× 35 1.0× 25 1.0× 19 269
Kai Gu China 13 580 1.4× 44 0.8× 23 0.6× 22 0.6× 18 0.7× 65 648
Greg Walcott United States 10 383 0.9× 32 0.6× 15 0.4× 27 0.8× 27 1.1× 17 419
Pedro David Arini Argentina 11 490 1.2× 148 2.7× 68 1.9× 69 2.0× 45 1.8× 57 566
Veronique M.F. Meijborg Netherlands 13 486 1.2× 165 3.1× 15 0.4× 35 1.0× 57 2.3× 42 559

Countries citing papers authored by Marianna Meo

Since Specialization
Citations

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

Fields of papers citing papers by Marianna Meo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianna Meo

This figure shows the co-authorship network connecting the top 25 collaborators of Marianna Meo. A scholar is included among the top collaborators of Marianna Meo 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 Marianna Meo. Marianna Meo 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.
Meo, Marianna, Pietro Bonizzi, Laura Bear, et al.. (2020). Relation of surface T-wave to vulnerability to ventricular fibrillation in explanted structurally normal hearts. Computing in cardiology. 1 indexed citations
2.
Meo, Marianna, Daniel O. Cervantes, Peter J. Mohler, et al.. (2020). Rhythm dynamics of the aging heart: an experimental study using conscious, restrained mice. American Journal of Physiology-Heart and Circulatory Physiology. 319(4). H893–H905. 13 indexed citations
3.
Meo, Marianna, Pietro Bonizzi, Laura Bear, et al.. (2020). Body Surface Mapping of Ventricular Repolarization Heterogeneity: An Ex-vivo Multiparameter Study. Frontiers in Physiology. 11. 933–933. 8 indexed citations
4.
Meo, Marianna, Arnaud Denis, Frédéric Sacher, et al.. (2020). Insights Into the Spatiotemporal Patterns of Complexity of Ventricular Fibrillation by Multilead Analysis of Body Surface Potential Maps. Frontiers in Physiology. 11. 554838–554838. 4 indexed citations
5.
Bear, Laura, et al.. (2019). Analysis of Signal-Averaged Electrocardiogram Performance for Body Surface Recordings. Computing in cardiology. 3 indexed citations
6.
Meo, Marianna, Josselin Duchâteau, Jason D. Bayer, et al.. (2019). An Automated Platform to Standardize Position in the Left Atrium and Map Electrophysiological Data. Computing in cardiology.
7.
Meo, Marianna, Olivier Meste, Sergio Signore, & Marcello Rota. (2019). Novel methods for high-resolution assessment of cardiac action potential repolarization. Biomedical Signal Processing and Control. 51. 30–41. 6 indexed citations
8.
Roney, Caroline H., Jason D. Bayer, Marianna Meo, et al.. (2018). Wavelength and Fibrosis Affect Phase Singularity Locations During Atrial Fibrillation. Frontiers in Physiology. 9. 1207–1207. 31 indexed citations
9.
Meo, Marianna, Thomas Pambrun, Nicolas Derval, et al.. (2018). Noninvasive Assessment of Atrial Fibrillation Complexity in Relation to Ablation Characteristics and Outcome. Frontiers in Physiology. 9. 929–929. 16 indexed citations
10.
Roney, Caroline H., Jason D. Bayer, Hubert Cochet, et al.. (2018). Variability in pulmonary vein electrophysiology and fibrosis determines arrhythmia susceptibility and dynamics. PLoS Computational Biology. 14(5). e1006166–e1006166. 33 indexed citations
11.
12.
Meste, Olivier, Marianna Meo, Sergio Signore, & Marcello Rota. (2016). A New Tool for the Action Potential Repolarization Dynamic Analysis: Application to the Discrimination of Diabetic and Control Cells. Computing in cardiology. 1 indexed citations
13.
Sorrentino, Andrea, Giulia Borghetti, Yu Zhou, et al.. (2016). Hyperglycemia induces defective Ca2+ homeostasis in cardiomyocytes. American Journal of Physiology-Heart and Circulatory Physiology. 312(1). H150–H161. 32 indexed citations
14.
Roney, Caroline H., Jason D. Bayer, Sohail Zahid, et al.. (2016). Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms. EP Europace. 18(suppl_4). iv146–iv155. 98 indexed citations
15.
Meo, Marianna, Olivier Meste, Sergio Signore, et al.. (2016). Reduction in Kv Current Enhances the Temporal Dispersion of the Action Potential in Diabetic Myocytes: Insights From a Novel Repolarization Algorithm. Journal of the American Heart Association. 5(2). 31 indexed citations
16.
Meo, Marianna, Antonio R. Hidalgo-Muñoz, Vicente Zarzoso, et al.. (2015). F-wave amplitude stability on multiple electrocardiogram leads in atrial fibrillation. 505–508. 4 indexed citations
17.
Meo, Marianna, Vicente Zarzoso, Olivier Meste, Decebal Gabriel Lațcu, & Nadir Saoudi. (2013). Catheter ablation outcome prediction in persistent atrial fibrillation using weighted principal component analysis. Biomedical Signal Processing and Control. 8(6). 958–968. 14 indexed citations
18.
Meo, Marianna, et al.. (2012). Spatial Variability of the 12-Lead Surface ECG as a Tool for Noninvasive Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation. IEEE Transactions on Biomedical Engineering. 60(1). 20–27. 42 indexed citations
19.
20.
Santiemma, V., et al.. (1997). Luteinizing Hormone Pulsatility is Altered in Essential Hypertension. Archives of Andrology. 38(1). 23–28. 2 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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