Matteo Vatta

4.6k total citations
59 papers, 2.5k citations indexed

About

Matteo Vatta is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Matteo Vatta has authored 59 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 29 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Matteo Vatta's work include Cardiomyopathy and Myosin Studies (26 papers), Cardiovascular Effects of Exercise (14 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Matteo Vatta is often cited by papers focused on Cardiomyopathy and Myosin Studies (26 papers), Cardiovascular Effects of Exercise (14 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Matteo Vatta collaborates with scholars based in United States, Italy and Japan. Matteo Vatta's co-authors include Michael J. Ackerman, David J. Tester, Jonathan C. Makielski, Jeffrey A. Towbin, William J. McKenna, Carmen R. Valdivia, Argelia Medeiros‐Domingo, Gianfranco Sinagra, Luisa Mestroni and Mauro Giacca and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Matteo Vatta

58 papers receiving 2.5k citations

Peers

Matteo Vatta

CCM

CMN

GENET

SURGE

Dobromir Slavov United States

Andreas Perrot Germany

Ana Morales United States

Saidi Mohiddin United Kingdom

Kathleen A. Quane Ireland

Florence Kyndt France

Carol Ann Remme Netherlands

Paul H. Goldspink United States

Matteo Vatta United States

Melissa L. Will United States

Dobromir Slavov United States

Matteo Vatta

1.4k ×0.7

CCM

1.0k ×0.7

45 ×0.3

CMN

123 ×0.8

GENET

113 ×0.8

SURGE

Citations per year, relative to Matteo Vatta Matteo Vatta (= 1×) peers Dobromir Slavov

Countries citing papers authored by Matteo Vatta

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Vatta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Vatta

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

Vatta, Matteo, Ellen S. Regalado, Michael Parfenov, et al.. (2025). Analysis of TTN Truncating Variants in >74 000 Cases Reveals New Clinically Relevant Gene Regions. Circulation Genomic and Precision Medicine. 18(2). e004982–e004982. 3 indexed citations

Grebe, Theresa A., George Khushf, John M. Greally, et al.. (2024). Clinical utility of polygenic risk scores for embryo selection: A points to consider statement of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 26(4). 101052–101052. 8 indexed citations

Vatta, Matteo. (2021). Editorial commentary: Genetic testing for congenital heart disease: The future is now. Trends in Cardiovascular Medicine. 32(5). 320–321. 1 indexed citations

Schwantes-An, Tae-Hwi, Sai Liu, Margaret Stedman, et al.. (2019). Fibroblast Growth Factor 23 Genotype and Cardiovascular Disease in Patients Undergoing Hemodialysis. American Journal of Nephrology. 49(2). 125–132. 10 indexed citations

Temu, Tecla M., Kathleen A. Lane, Changyu Shen, et al.. (2017). Clinical characteristics and 12-month outcomes of patients with valvular and non-valvular atrial fibrillation in Kenya. PLoS ONE. 12(9). e0185204–e0185204. 12 indexed citations

Celestino-Soper, Patrícia B. S., Hongyu Gao, Hai Lin, et al.. (2017). Validation and Utilization of a Clinical Next-Generation Sequencing Panel for Selected Cardiovascular Disorders. Frontiers in Cardiovascular Medicine. 4. 11–11. 7 indexed citations

Vatta, Matteo & Katherine G. Spoonamore. (2015). Use of genetic testing to identify sudden cardiac death syndromes. Trends in Cardiovascular Medicine. 25(8). 738–748. 10 indexed citations

Ben‐Omran, Tawfeg, Basil T. Darras, Sanjay P. Prabhu, et al.. (2013). Clinical Application of Whole-Exome Sequencing. JAMA Neurology. 70(6). 788–788. 14 indexed citations

Vatta, Matteo, Zhiyv Niu, James R. Lupski, et al.. (2013). Evidence for replicative mechanism in a CHD7 rearrangement in a patient with CHARGE syndrome. PMC.

10.

Ricci, Marco, Yanji Xu, David A. Willoughby, et al.. (2012). Myocardial Alternative RNA Splicing and Gene Expression Profiling in Early Stage Hypoplastic Left Heart Syndrome. PLoS ONE. 7(1). e29784–e29784. 22 indexed citations

11.

Martinez, Hugo R., Mary C. Niu, V. Reid Sutton, et al.. (2011). Coffin–Lowry syndrome and left ventricular noncompaction cardiomyopathy with a restrictive pattern. American Journal of Medical Genetics Part A. 155(12). 3030–3034. 23 indexed citations

12.

Xu, Tianhong, Yang Zhao, Matteo Vatta, et al.. (2010). Compound and Digenic Heterozygosity Contributes to Arrhythmogenic Right Ventricular Cardiomyopathy. Journal of the American College of Cardiology. 55(6). 587–597. 239 indexed citations

13.

Vatta, Matteo, Stephanie H. Witt, Anita Arola, et al.. (2009). ANKRD1, the Gene Encoding Cardiac Ankyrin Repeat Protein, Is a Novel Dilated Cardiomyopathy Gene. Journal of the American College of Cardiology. 54(4). 325–333. 96 indexed citations

14.

Mohapatra, Bhagyalaxmi, G. Wesley Vick, Charles D. Fraser, et al.. (2009). Short-term mechanical unloading and reverse remodeling of failing hearts in children. The Journal of Heart and Lung Transplantation. 29(1). 98–104. 20 indexed citations

15.

Ueda, Kazuo, Carmen R. Valdivia, Argelia Medeiros‐Domingo, et al.. (2008). Syntrophin mutation associated with long QT syndrome through activation of the nNOS–SCN5A macromolecular complex. Proceedings of the National Academy of Sciences. 105(27). 9355–9360. 225 indexed citations

16.

Theis, Jeanne L., J. Martijn Bos, Melissa L. Will, et al.. (2006). Echocardiographic-determined septal morphology in Z-disc hypertrophic cardiomyopathy. Biochemical and Biophysical Research Communications. 351(4). 896–902. 82 indexed citations

17.

Ye, Bin, Toshihiko Kaku, David J. Tester, et al.. (2006). Novel mechanism for sudden infant death syndrome: Persistent late sodium current secondary to mutations in caveolin-3. Heart Rhythm. 4(2). 161–166. 157 indexed citations

18.

Vatta, Matteo, Bhagyalaxmi Mohapatra, Shinawe Jimenez, et al.. (2004). Reply. Journal of the American College of Cardiology. 44(5). 1139–1140. 1 indexed citations

19.

Mestroni, Luisa, Chiara Rocco, Darío Gregori, et al.. (1999). Familial dilated cardiomyopathy. Journal of the American College of Cardiology. 34(1). 181–190. 217 indexed citations

20.

Mestroni, Luisa, Maja Krajinović, Giovanni Maria Severini, et al.. (1995). Molecular genetics of dilated cardiomyopathies. European Heart Journal. 16(suppl O). 5–9. 11 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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