Francesco Mazzarotto

5.0k total citations · 1 hit paper
29 papers, 943 citations indexed

About

Francesco Mazzarotto is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Francesco Mazzarotto has authored 29 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Francesco Mazzarotto's work include Cardiomyopathy and Myosin Studies (20 papers), Cardiovascular Function and Risk Factors (8 papers) and Congenital heart defects research (7 papers). Francesco Mazzarotto is often cited by papers focused on Cardiomyopathy and Myosin Studies (20 papers), Cardiovascular Function and Risk Factors (8 papers) and Congenital heart defects research (7 papers). Francesco Mazzarotto collaborates with scholars based in Italy, United Kingdom and United States. Francesco Mazzarotto's co-authors include Roddy Walsh, James S. Ware, Stuart A. Cook, Iacopo Olivotto, Hugh Watkins, Birgit Funke, Martin Farrall, Eric Vallabh Minikel, Jenny C. Taylor and A Seller and has published in prestigious journals such as Nucleic Acids Research, Nature Reviews Genetics and European Heart Journal.

In The Last Decade

Francesco Mazzarotto

27 papers receiving 937 citations

Hit 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.

Reassessment of Mendelian gene pathogenicity using 7,855 cardiomyopathy cases and 60,706 reference samples

2016 451 citations Roddy Walsh, Kate Thomson et al. Genetics in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesco Mazzarotto Italy	14	728	410	118	97	60	29	943
Suet Nee Chen United States	17	547 0.8×	456 1.1×	76 0.6×	69 0.7×	10 0.2×	27	969
Xusto Fernández Spain	16	680 0.9×	245 0.6×	26 0.2×	222 2.3×	37 0.6×	33	883
Jean-Brieuc Bouhour France	9	847 1.2×	351 0.9×	35 0.3×	115 1.2×	65 1.1×	13	960
Tatiana Tsoutsman Australia	15	377 0.5×	360 0.9×	67 0.6×	64 0.7×	15 0.3×	23	709
Bence Ágg Hungary	15	173 0.2×	200 0.5×	168 1.4×	32 0.3×	14 0.2×	49	558
Torben A. Kruse Denmark	9	282 0.4×	326 0.8×	100 0.8×	123 1.3×	10 0.2×	27	623
Terry Tapscott United States	8	1.1k 1.6×	657 1.6×	72 0.6×	54 0.6×	9 0.1×	8	1.4k
Sakie Nakamura United States	15	241 0.3×	531 1.3×	279 2.4×	35 0.4×	8 0.1×	19	805
Johanna C. Herkert Netherlands	12	160 0.2×	194 0.5×	156 1.3×	37 0.4×	8 0.1×	16	432
Jufeng Wang China	9	161 0.2×	294 0.7×	28 0.2×	62 0.6×	10 0.2×	20	521

Countries citing papers authored by Francesco Mazzarotto

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Mazzarotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Mazzarotto

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

Mazzarotto, Francesco, et al.. (2025). Allele-specific expression analysis: pipelines, applications, challenges, and unmet needs. Computers in Biology and Medicine. 196(Pt B). 110890–110890.

Harris, Laura, Ellen M. McDonagh, Xiaolei Zhang, et al.. (2024). Genome-wide association testing beyond SNPs. Nature Reviews Genetics. 26(3). 156–170. 11 indexed citations

Perotto, Maria, Róbert Sepp, S. K. Prasad, et al.. (2023). Genetic and phenotypic characterization of Nexilin (NEXN) related cardiomyopathy. European Heart Journal. 44(Supplement_2). 1 indexed citations

Jurgens, Sean J., Francesco Mazzarotto, Mona Allouba, et al.. (2023). Exploring the complex spectrum of dominance and recessiveness in genetic cardiomyopathies. Nature Cardiovascular Research. 2(11). 1078–1094. 7 indexed citations

Žunkovič, Bojan, Marko Robnik‐Šikonja, Matjaž Kukar, et al.. (2022). Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning. JMIR Medical Informatics. 10(2). e30483–e30483. 14 indexed citations

Mazzarotto, Francesco, Alessia Argirò, Mattia Zampieri, et al.. (2022). Investigation on the high recurrence of the ATTRv-causing transthyretin variant Val142Ile in central Italy. European Journal of Human Genetics. 31(5). 541–547. 7 indexed citations

Walsh, Roddy, Arnon Adler, Ahmad S. Amin, et al.. (2021). Evaluation of gene validity for CPVT and short QT syndrome in sudden arrhythmic death. European Heart Journal. 43(15). 1500–1510. 71 indexed citations

Thompson, Andrea D., Adam Helms, Jaime Yob, et al.. (2021). Computational prediction of protein subdomain stability in MYBPC3 enables clinical risk stratification in hypertrophic cardiomyopathy and enhances variant interpretation. Genetics in Medicine. 23(7). 1281–1287. 7 indexed citations

Žunkovič, Bojan, Marko Robnik‐Šikonja, Matjaž Kukar, et al.. (2021). A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Computers in Biology and Medicine. 135. 104648–104648. 38 indexed citations

10.

Canepa, Marco, Carlo Fumagalli, Giacomo Tini, et al.. (2020). Temporal Trend of Age at Diagnosis in Hypertrophic Cardiomyopathy. Circulation Heart Failure. 13(9). e007230–e007230. 49 indexed citations

11.

Walsh, Roddy, Najim Lahrouchi, Charlotte Glinge, et al.. (2020). Enhancing rare variant interpretation in inherited arrhythmias through quantitative analysis of 5182 cases from long QT syndrome and Brugada syndrome consortia cohorts and gnomAD population controls. European Heart Journal. 41(Supplement_2).

12.

Mazzarotto, Francesco, Iacopo Olivotto, & Roddy Walsh. (2020). Advantages and Perils of Clinical Whole-Exome and Whole-Genome Sequencing in Cardiomyopathy. Cardiovascular Drugs and Therapy. 34(2). 241–253. 21 indexed citations

13.

Fumagalli, Carlo, Giacomo Tini, Francesco Mazzarotto, et al.. (2019). Temporal Trend in Age at Diagnosis of Hypertrophic Cardiomyopathy: An Analysis of the Share Registry. Institutional Research Information System (Università degli Studi di Brescia). 140. 1 indexed citations

14.

Mazzarotto, Francesco, Upasana Tayal, Rachel Buchan, et al.. (2019). 4258Re-evaluating the genetic contribution of monogenic dilated cardiomyopathy. European Heart Journal. 40(Supplement_1). 34 indexed citations

15.

Mazzarotto, Francesco, Francesca Girolami, Beatrice Boschi, et al.. (2018). Two decades of genetic testing in hypertrophic cardiomyopathy in a single center: The additive value of extended next-generation sequencing panels lies in the early diagnosis of metabolic mimics. Vascular Pharmacology. 103-105. 63–63. 1 indexed citations

16.

Mazzarotto, Francesco, Francesca Girolami, Beatrice Boschi, et al.. (2018). Defining the diagnostic effectiveness of genes for inclusion in panels: the experience of two decades of genetic testing for hypertrophic cardiomyopathy at a single center. Genetics in Medicine. 21(2). 284–292. 51 indexed citations

17.

Fornaro, Alessandra, Iacopo Olivotto, Luigi Rigacci, et al.. (2017). Comparison of Long-Term Outcome in Anthracycline-Related Versus Idiopathic Dilated Cardiomyopathy: A Single Centre Experience. European Journal of Heart Failure. 20(5). 898–906. 44 indexed citations

18.

Walsh, Roddy, Kate Thomson, James S. Ware, et al.. (2016). Reassessment of Mendelian gene pathogenicity using 7,855 cardiomyopathy cases and 60,706 reference samples. Genetics in Medicine. 19(2). 192–203. 451 indexed citations breakdown →

19.

Ware, J. Anthony, Daniel S. Herman, Sebastian Schäfer, et al.. (2015). C Integrated Allelic, Transcriptional, and Phenotypic Dissection of the Cardiac Effects of Titin Variation in Health and Diseaser. A126.1–A126. 1 indexed citations

20.

Gatto, Alberto, Carlos Torroja, Francesco Mazzarotto, et al.. (2014). FineSplice, enhanced splice junction detection and quantification: a novel pipeline based on the assessment of diverse RNA-Seq alignment solutions. Nucleic Acids Research. 42(8). e71–e71. 24 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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