Maite Tome

7.6k total citations · 1 hit paper
102 papers, 4.0k citations indexed

About

Maite Tome is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Maite Tome has authored 102 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Cardiology and Cardiovascular Medicine, 13 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in Maite Tome's work include Cardiomyopathy and Myosin Studies (54 papers), Cardiovascular Effects of Exercise (53 papers) and Cardiovascular Function and Risk Factors (26 papers). Maite Tome is often cited by papers focused on Cardiomyopathy and Myosin Studies (54 papers), Cardiovascular Effects of Exercise (53 papers) and Cardiovascular Function and Risk Factors (26 papers). Maite Tome collaborates with scholars based in United Kingdom, Spain and United States. Maite Tome's co-authors include William J. McKenna, Perry Elliott, Elijah R. Behr, Deirdre Ward, Rajesh Thaman, Michael Papadakis, Sanjay Sharma, Harshil Dhutia, Petros Syrris and Gherardo Finocchiaro and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Maite Tome

91 papers receiving 3.9k citations

Hit Papers

Etiology of Sudden Death in Sports 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maite Tome United Kingdom 30 3.3k 678 562 403 355 102 4.0k
Furio Silvestri Italy 22 1.8k 0.6× 662 1.0× 210 0.4× 665 1.7× 189 0.5× 50 2.9k
Martina Perazzolo Marra Italy 35 4.5k 1.4× 247 0.4× 373 0.7× 1.1k 2.8× 1.3k 3.7× 176 4.9k
Christina Y. Miyake United States 23 2.7k 0.8× 572 0.8× 504 0.9× 533 1.3× 169 0.5× 100 3.1k
Silvia Castelletti Italy 23 1.3k 0.4× 547 0.8× 119 0.2× 145 0.4× 314 0.9× 73 1.7k
Zofia T. Bilińska Poland 17 2.6k 0.8× 902 1.3× 341 0.6× 438 1.1× 260 0.7× 89 3.2k
Constantinos O’Mahony United Kingdom 23 2.2k 0.7× 277 0.4× 422 0.8× 417 1.0× 178 0.5× 62 2.7k
Eben Tucker United States 14 580 0.2× 471 0.7× 143 0.3× 212 0.5× 213 0.6× 21 2.0k
Necla Özer Türkiye 29 1.7k 0.5× 184 0.3× 179 0.3× 457 1.1× 278 0.8× 146 2.4k
Siân Hughes United Kingdom 14 1.2k 0.4× 689 1.0× 106 0.2× 139 0.3× 74 0.2× 24 2.0k
Jaume Agüero Spain 27 1.3k 0.4× 566 0.8× 190 0.3× 648 1.6× 473 1.3× 105 2.4k

Countries citing papers authored by Maite Tome

Since Specialization
Citations

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

Fields of papers citing papers by Maite Tome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maite Tome

This figure shows the co-authorship network connecting the top 25 collaborators of Maite Tome. A scholar is included among the top collaborators of Maite Tome 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 Maite Tome. Maite Tome 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
2.
Khoury, Shafik, Michal Laufer‐Perl, Maite Tome, et al.. (2024). Sex-related differences in the association between septal wall thickness and survival. IJC Heart & Vasculature. 53. 101427–101427.
3.
Hughes, Rebecca, João B. Augusto, Kristopher Knott, et al.. (2023). Apical Ischemia Is a Universal Feature of Apical Hypertrophic Cardiomyopathy. Circulation Cardiovascular Imaging. 16(3). e014907–e014907. 18 indexed citations
4.
Forster, Jan, Chiara Scrocco, Bode Ensam, et al.. (2023). Focused echocardiographic screening of the aortic valve and aorta in elite rugby players. European Heart Journal - Cardiovascular Imaging. 24(Supplement_1).
5.
Khoury, Shafik, Chris Miles, Alexandros Kasiakogias, et al.. (2023). Ethnic and sex-related differences at presentation in apical hypertrophic cardiomyopathy: An observational cross-sectional study. International Journal of Cardiology. 391. 131265–131265. 1 indexed citations
6.
Frutos, Fernando de, et al.. (2023). Pregnancy-related cardiovascular events in marfan syndrome. European Heart Journal. 44(Supplement_2).
7.
Basu, Joyee, P Ricci, Christopher Miles, et al.. (2023). Mechanisms of adaptation to high intensity exercise in hypertrophic cardiomyopathy. European Heart Journal. 44(Supplement_2). 1 indexed citations
8.
Sabater‐Molina, María, et al.. (2021). Cardiopulmonary Exercise Test in Patients with Hypertrophic Cardiomyopathy: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 10(11). 2312–2312. 16 indexed citations
9.
Tome, Maite, et al.. (2019). Does the Aortic Annulus Dilate After Aortic Root Remodeling?. The Annals of Thoracic Surgery. 110(3). 943–947. 4 indexed citations
10.
Miles, Chris, et al.. (2019). Inherited cardiomyopathies. BMJ. 365. l1570–l1570. 17 indexed citations
11.
Watkinson, Oliver, Constantinos O’Mahony, Oliver Guttmann, et al.. (2017). Long-Term Outcomes for Different Surgical Strategies to Treat Left Ventricular Outflow Tract Obstruction in Hypertrophic Cardiomyopathy. European Journal of Heart Failure. 20(2). 398–405. 15 indexed citations
12.
Millar, Lynne, Gabriel Fernández, Harshil Dhutia, et al.. (2016). Abstract 15662: Exercise Echocardiography Has a High Sensitivity and Specificity in Differentiating Athlete’s Heart From Dilated Cardiomyopathy. Circulation. 1 indexed citations
13.
Réant, Patricia, Arnaud D. Hauer, Silvia Castelletti, et al.. (2015). Epicardial myocardial strain abnormalities may identify the earliest stages of arrhythmogenic cardiomyopathy. International journal of cardiac imaging. 32(4). 593–601. 16 indexed citations
15.
Tome, Maite, et al.. (2011). As citologias na promoção da saúde sexual das adolescentes utentes do Centro de Atendimento a Jovens de Coimbra.. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Limongelli, Giuseppe, Maite Tome, Charungthai Dejthevaporn, et al.. (2010). Prevalence and Natural History of Heart Disease in Adults with Primary Mitochondrial Respiratory Chain Disease. European Journal of Heart Failure. 12(2). 114–121. 82 indexed citations
17.
Ward, Deirdre, Maite Tome, Antonios Pantazis, et al.. (2010). Dynamic electrocardiographic changes in patients with arrhythmogenic right ventricular cardiomyopathy. Heart. 96(7). 516–522. 27 indexed citations
18.
Tome, Maite, et al.. (2006). Echocardiography-based score to predict outcome after renal transplantation. Heart. 93(4). 464–469. 29 indexed citations
19.
Thaman, Rajesh, Juan R. Gimeno, Sebastian Reith, et al.. (2004). Progressive left ventricular remodeling in patients with hypertrophic cardiomyopathy and severe left ventricular hypertrophy. Journal of the American College of Cardiology. 44(2). 398–405. 45 indexed citations
20.
Tome, Maite, et al.. (1996). Impacto de los parques tecnológicos en el desarrollo regional: el caso de Andalucía. Economía industrial. 27(309). 75–84. 1 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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