Carlos Peña

2.9k total citations · 1 hit paper
122 papers, 1.7k citations indexed

About

Carlos Peña is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Carlos Peña has authored 122 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cardiology and Cardiovascular Medicine, 25 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Epidemiology. Recurrent topics in Carlos Peña's work include Cardiac Imaging and Diagnostics (24 papers), Cardiac Health and Mental Health (23 papers) and Acute Myocardial Infarction Research (22 papers). Carlos Peña is often cited by papers focused on Cardiac Imaging and Diagnostics (24 papers), Cardiac Health and Mental Health (23 papers) and Acute Myocardial Infarction Research (22 papers). Carlos Peña collaborates with scholars based in Spain, Netherlands and United States. Carlos Peña's co-authors include José Ramón González‐Juanatey, Sergio Raposeiras‐Roubín, Emad Abu-Assi, Violeta González‐Salvado, Eva Prescott, José Marı́a Garcı́a-Acuña, Arnoud W.J. van ‘t Hof, Esther P. Meindersma, Alberto Ruano‐Raviña and Emad Abu‐Assi and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Carlos Peña

111 papers receiving 1.6k citations

Hit Papers

Participation and adherence to cardiac rehabilitation pro... 2016 2026 2019 2022 2016 50 100 150 200 250
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.

  1. Participation and adherence to cardiac rehabilitation programs. A systematic review
    2016 267 citations Alberto Ruano‐Raviña, Carlos Peña et al. International Journal of Cardiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Peña Spain 24 1.1k 228 215 197 170 122 1.7k
Alexander Harrison United Kingdom 14 1.5k 1.4× 193 0.8× 123 0.6× 274 1.4× 112 0.7× 61 1.9k
Haolin Xu United States 24 1.3k 1.2× 202 0.9× 113 0.5× 540 2.7× 54 0.3× 65 2.3k
Miguel Mendes Portugal 18 2.3k 2.1× 231 1.0× 370 1.7× 250 1.3× 694 4.1× 123 2.6k
Marco Ambrosetti Italy 19 829 0.8× 233 1.0× 90 0.4× 115 0.6× 249 1.5× 83 1.3k
Jennifer Yu United States 21 1.2k 1.1× 548 2.4× 330 1.5× 196 1.0× 114 0.7× 69 1.7k
Valeria E. Rac Canada 21 456 0.4× 149 0.7× 113 0.5× 144 0.7× 52 0.3× 83 1.3k
Sandeep Aggarwal Canada 19 1.2k 1.1× 114 0.5× 133 0.6× 78 0.4× 316 1.9× 66 1.5k
Adam Redpath United Kingdom 21 1.2k 1.1× 194 0.9× 105 0.5× 333 1.7× 34 0.2× 40 1.9k
Andrew Y. Shin United States 18 319 0.3× 255 1.1× 58 0.3× 355 1.8× 65 0.4× 67 1.4k
Celina M. Yong United States 16 536 0.5× 333 1.5× 86 0.4× 150 0.8× 84 0.5× 57 1.4k

Countries citing papers authored by Carlos Peña

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Peña

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Peña. A scholar is included among the top collaborators of Carlos Peña 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 Carlos Peña. Carlos Peña 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.
Tsakanikas, Vassilis, Boris Schmitz, Antonis I. Sakellarios, et al.. (2025). Development of Machine Learning Models for Predicting Effectiveness and Adherence in Cardiac Rehabilitation. IEEE Journal of Biomedical and Health Informatics. 29(12). 8783–8790.
2.
López‐Dequidt, Iria, Sonia Eirás, Carlos Peña, et al.. (2025). Multiparametric assessment of atrial cardiopathy in cryptogenic stroke patients: Implications for personalized clinical management. European Stroke Journal. 74813157–74813157.
3.
Schmitz, Boris, Violeta González‐Salvado, Mirela Habibović, et al.. (2024). Living Lab Data of Patient Needs and Expectations for eHealth-Based Cardiac Rehabilitation in Germany and Spain From the TIMELY Study: Cross-Sectional Analysis. Journal of Medical Internet Research. 26. e53991–e53991. 4 indexed citations
4.
López‐Otero, Diego, J Lopez Pais, Francisco Gudé, et al.. (2024). Echocardiographic phenotype in severe aortic stenosis with and without transthyretin cardiac amyloidosis: the AMY-TAVI study. European Heart Journal - Cardiovascular Imaging. 26(2). 261–272. 1 indexed citations
5.
Eser, Prisca, Thimo Marcin, Eva Prescott, et al.. (2023). Breathing pattern and pulmonary gas exchange in elderly patients with and without left ventricular dysfunction—modification with exercise-based cardiac rehabilitation and prognostic value. Frontiers in Cardiovascular Medicine. 10. 1219589–1219589. 1 indexed citations
6.
Lama, Manuel, et al.. (2022). A framework for the automatic description of healthcare processes in natural language: Application in an aortic stenosis integrated care process. Journal of Biomedical Informatics. 128. 104033–104033. 6 indexed citations
7.
González‐Salvado, Violeta, et al.. (2022). Thirty-second sit-to-stand test as an alternative for estimating peak oxygen uptake and 6-min walking distance in women with breast cancer: a cross-sectional study. Supportive Care in Cancer. 30(10). 8251–8260. 13 indexed citations
8.
González‐Salvado, Violeta, Carlos Peña, Carmén Cadarso-Suárez, et al.. (2021). Offering, participation and adherence to cardiac rehabilitation programmes in the elderly: a European comparison based on the EU-CaRE multicentre observational study. European Journal of Preventive Cardiology. 28(5). 558–568. 9 indexed citations
9.
Scherrenberg, Martijn, Uwe Zeymer, Steffen Schneider, et al.. (2021). EU-CaRE study: Could exercise-based cardiac telerehabilitation also be cost-effective in elderly?. International Journal of Cardiology. 340. 1–6. 11 indexed citations
10.
González‐Salvado, Violeta, Emilio Rodríguez‐Ruiz, Cristian Abelairas‐Gómez, et al.. (2019). Training adult laypeople in basic life support. A systematic review. Revista Española de Cardiología (English Edition). 73(1). 53–68. 37 indexed citations
11.
González‐Salvado, Violeta, Cristian Abelairas‐Gómez, Carlos Peña, et al.. (2018). Basic life support training into cardiac rehabilitation programs: A chance to give back. A community intervention controlled manikin study. Resuscitation. 127. 14–20. 24 indexed citations
12.
González‐Salvado, Violeta, Felipe Fernández-Méndez, Roberto Barcala‐Furelos, et al.. (2016). Very brief training for laypeople in hands-only cardiopulmonary resuscitation. Effect of real-time feedback. The American Journal of Emergency Medicine. 34(6). 993–998. 39 indexed citations
13.
14.
Raposeiras‐Roubín, Sergio, Emad Abu-Assi, Violeta González‐Salvado, et al.. (2015). Mehran contrast nephropathy risk score: Is it still useful 10 years later?. Journal of Cardiology. 67(3). 262–267. 44 indexed citations
15.
Abu-Assi, Emad, Andrea López-López, Sergio Raposeiras‐Roubín, et al.. (2015). Comparison between CHA2DS2-VASc and the new R2CHADS2 and ATRIA scores at predicting thromboembolic event in non-anticoagulated and anticoagulated patients with non-valvular atrial fibrillation. BMC Cardiovascular Disorders. 15(1). 156–156. 18 indexed citations
16.
Raposeiras‐Roubín, Sergio, Emad Abu Assi, Moisés Rodríguez‐Mañero, et al.. (2014). Relation of Contrast Induced Nephropathy to New Onset Atrial Fibrillation in Acute Coronary Syndrome. The American Journal of Cardiology. 115(5). 587–591. 7 indexed citations
17.
Raposeiras‐Roubín, Sergio, Emad Abu‐Assi, Alfredo Redondo Diéguez, et al.. (2014). Prognostic Benefit of Beta-blockers After Acute Coronary Syndrome With Preserved Systolic Function. Still Relevant Today?. Revista Española de Cardiología (English Edition). 68(7). 585–591. 19 indexed citations
18.
Raposeiras‐Roubín, Sergio, Emad Abu-Assi, Pilar Cabanas‐Grandío, et al.. (2012). Walking Beyond the GRACE (Global Registry of Acute Coronary Events) Model in the Death Risk Stratification During Hospitalization in Patients With Acute Coronary Syndrome. JACC: Cardiovascular Interventions. 5(11). 1117–1125. 23 indexed citations
19.
Peña, Carlos, et al.. (2011). Síndrome de desgaste profesional en residentes del Hospital Universitario de Caracas. 27(1).
20.
Figueras, Jaume, Josefa Cortadellas, Carlos Peña, Enric Domingo, & Jordi Soler Soler. (2005). Comparison of clinical and angiographic features and longterm follow-up events between patients with variant angina and patients with ST elevation myocardial infarction. International Journal of Cardiology. 111(2). 256–262. 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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