Luca Azzolin

8.8k total citations · 5 hit papers
39 papers, 6.3k citations indexed

About

Luca Azzolin is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Luca Azzolin has authored 39 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 15 papers in Cell Biology. Recurrent topics in Luca Azzolin's work include Hippo pathway signaling and YAP/TAZ (15 papers), Atrial Fibrillation Management and Outcomes (13 papers) and Cardiac electrophysiology and arrhythmias (11 papers). Luca Azzolin is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (15 papers), Atrial Fibrillation Management and Outcomes (13 papers) and Cardiac electrophysiology and arrhythmias (11 papers). Luca Azzolin collaborates with scholars based in Italy, Germany and Spain. Luca Azzolin's co-authors include Stefano Piccolo, Michelangelo Cordenonsi, Tito Panciera, Silvio Bicciato, Francesca Zanconato, Mattia Forcato, Giuseppe Basso, Antonio Rosato, Giusy Battilana and Chiara Frasson and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Luca Azzolin

38 papers receiving 6.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Hippo Transducer TAZ Confers Cancer Stem Cell-Related Traits on Breast Cancer Cells

2011 1.0k citations Michelangelo Cordenonsi, Francesca Zanconato et al. Cell profile →
Mechanobiology of YAP and TAZ in physiology and disease

2017 978 citations Tito Panciera, Luca Azzolin et al. Nature Reviews Molecular Cell Biology profile →
YAP/TAZ Incorporation in the β-Catenin Destruction Complex Orchestrates the Wnt Response

2014 850 citations Luca Azzolin, Tito Panciera et al. Cell profile →
Genome-wide association between YAP/TAZ/TEAD and AP-1 at enhancers drives oncogenic growth

2015 840 citations Francesca Zanconato, Mattia Forcato et al. Nature Cell Biology profile →
YAP/TAZ-Dependent Reprogramming of Colonic Epithelium Links ECM Remodeling to Tissue Regeneration

2017 439 citations Shiro Yui, Luca Azzolin et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luca Azzolin Italy	20	4.1k	3.5k	1.1k	452	392	39	6.3k
Elena Enzo Italy	18	4.2k 1.0×	4.0k 1.1×	879 0.8×	911 2.0×	797 2.0×	32	7.3k
Xaralabos Varelas United States	38	3.8k 0.9×	3.7k 1.0×	719 0.6×	470 1.0×	179 0.5×	83	6.3k
Inke Näthke United Kingdom	36	2.3k 0.6×	5.0k 1.4×	1.4k 1.3×	501 1.1×	241 0.6×	86	6.7k
Francesca Zanconato Italy	17	7.2k 1.8×	5.5k 1.6×	1.5k 1.3×	863 1.9×	889 2.3×	23	10.0k
Toshiro Moroishi Japan	21	3.6k 0.9×	3.2k 0.9×	705 0.6×	526 1.2×	97 0.2×	51	5.2k
Masayuki Nitta Japan	26	1.6k 0.4×	1.9k 0.6×	950 0.8×	444 1.0×	321 0.8×	94	3.7k
Chiara Frasson Italy	26	1.6k 0.4×	2.5k 0.7×	1.2k 1.1×	964 2.1×	181 0.5×	43	4.3k
John G. Collard Netherlands	52	4.0k 1.0×	6.9k 1.9×	1.3k 1.2×	740 1.6×	166 0.4×	73	9.6k
Shun‐ichiro Iemura Japan	35	1.3k 0.3×	3.6k 1.0×	629 0.6×	294 0.7×	141 0.4×	77	4.5k

Countries citing papers authored by Luca Azzolin

Since Specialization

Citations

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

Fields of papers citing papers by Luca Azzolin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Azzolin

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Azzolin. A scholar is included among the top collaborators of Luca Azzolin 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 Luca Azzolin. Luca Azzolin 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

Azzolin, Luca, Matthias A. F. Gsell, Anton J. Prassl, et al.. (2025). An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology. Medical Image Analysis. 107(Pt B). 103822–103822. 1 indexed citations

Azzolin, Luca, Martin Manninger, Douglas S. Scherr, et al.. (2024). Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature. Medical Image Analysis. 99. 103375–103375.

Eichenlaub, Martin, Björn Müller‐Edenborn, Heiko Lehrmann, et al.. (2023). Differences in atrial substrate localization using late gadolinium enhancement-magnetic resonance imaging, electrogram voltage, and conduction velocity: a cohort study using a consistent anatomical reference frame in patients with persistent atrial fibrillation. EP Europace. 25(9). 16 indexed citations

Azzolin, Luca, Martin Eichenlaub, Claudia Nagel, et al.. (2023). AugmentA: Patient-specific augmented atrial model generation tool. Computerized Medical Imaging and Graphics. 108. 102265–102265. 23 indexed citations

Gsell, Matthias A. F., et al.. (2023). Towards the Development of Virtual Heart Technology for Creating Digital Twins of Cardiac Electrophysiology. Computing in cardiology. 1 indexed citations

Azzolin, Luca, Martin Eichenlaub, Claudia Nagel, et al.. (2022). Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrence. EP Europace. 25(1). 211–222. 43 indexed citations

Azzolin, Luca, Steffen Schuler, Massimo W. Rivolta, et al.. (2021). Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG. SHILAP Revista de lepidopterología. 2(2). 126–136. 32 indexed citations

Azzolin, Luca, Steffen Schuler, Olaf Dössel, & Axel Loewe. (2021). A Reproducible Protocol to Assess Arrhythmia Vulnerability in silico: Pacing at the End of the Effective Refractory Period. Frontiers in Physiology. 12. 656411–656411. 18 indexed citations

Azzolin, Luca, Massimo W. Rivolta, Roberto Sassi, et al.. (2020). Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-lead ECG: Pulmonary Vein Rotors vs. other Locations. PubMed. 2020. 410–413. 3 indexed citations

10.

Azzolin, Luca, et al.. (2020). Effect of fibre orientation and bulk modulus on the electromechanical modelling of human ventricles. Mathematics in Engineering. 2(4). 614–638. 6 indexed citations

11.

Yui, Shiro, Luca Azzolin, Martti Maimets, et al.. (2017). YAP/TAZ-Dependent Reprogramming of Colonic Epithelium Links ECM Remodeling to Tissue Regeneration. Cell stem cell. 22(1). 35–49.e7. 439 indexed citations breakdown →

12.

Panciera, Tito, Luca Azzolin, Michelangelo Cordenonsi, & Stefano Piccolo. (2017). Mechanobiology of YAP and TAZ in physiology and disease. Nature Reviews Molecular Cell Biology. 18(12). 758–770. 978 indexed citations breakdown →

13.

Totaro, Antonio, Martina Castellan, Giusy Battilana, et al.. (2017). YAP/TAZ link cell mechanics to Notch signalling to control epidermal stem cell fate. Nature Communications. 8(1). 15206–15206. 223 indexed citations

14.

Sorrentino, Giovanni, Rebecca Bertolio, Kamil Lisek, et al.. (2017). Mechanical cues control mutant p53 stability through a mevalonate–RhoA axis. Nature Cell Biology. 20(1). 28–35. 115 indexed citations

15.

Panciera, Tito, Luca Azzolin, Atsushi Fujimura, et al.. (2016). Induction of Expandable Tissue-Specific Stem/Progenitor Cells through Transient Expression of YAP/TAZ. Cell stem cell. 19(6). 725–737. 197 indexed citations

16.

Nowell, Craig S., Pascal D. Odermatt, Luca Azzolin, et al.. (2015). Chronic inflammation imposes aberrant cell fate in regenerating epithelia through mechanotransduction. Nature Cell Biology. 18(2). 168–180. 119 indexed citations

17.

Zanconato, Francesca, Mattia Forcato, Giusy Battilana, et al.. (2015). Genome-wide association between YAP/TAZ/TEAD and AP-1 at enhancers drives oncogenic growth. Nature Cell Biology. 17(9). 1218–1227. 840 indexed citations breakdown →

18.

Azzolin, Luca, Francesca Zanconato, Silvia Bresolin, et al.. (2012). Role of TAZ as Mediator of Wnt Signaling. Cell. 151(7). 1443–1456. 400 indexed citations

19.

Cordenonsi, Michelangelo, Francesca Zanconato, Luca Azzolin, et al.. (2011). The Hippo Transducer TAZ Confers Cancer Stem Cell-Related Traits on Breast Cancer Cells. Cell. 147(4). 759–772. 1045 indexed citations breakdown →

20.

Azzolin, Luca, Emy Basso, Francesco Argenton, & Paolo Bernardi. (2010). Mitochondrial Ca2+ transport and permeability transition in zebrafish (Danio rerio). Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1797(11). 1775–1779. 31 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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