Julia Ramírez

4.2k total citations · 1 hit paper
99 papers, 1.3k citations indexed

About

Julia Ramírez is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Genetics. According to data from OpenAlex, Julia Ramírez has authored 99 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cardiology and Cardiovascular Medicine, 17 papers in General Health Professions and 13 papers in Genetics. Recurrent topics in Julia Ramírez's work include Cardiac electrophysiology and arrhythmias (36 papers), ECG Monitoring and Analysis (25 papers) and Genetic Associations and Epidemiology (12 papers). Julia Ramírez is often cited by papers focused on Cardiac electrophysiology and arrhythmias (36 papers), ECG Monitoring and Analysis (25 papers) and Genetic Associations and Epidemiology (12 papers). Julia Ramírez collaborates with scholars based in United Kingdom, Spain and United States. Julia Ramírez's co-authors include Francesca Gany, Jennifer Leng, Michele Orini, Patricia B. Munroe, Pablo Laguna, Esther Pueyo, Abraham Aragones, Rosario Costas-Muñíz, Stefan van Duijvenboden and Pier D. Lambiase and has published in prestigious journals such as Circulation, Nature Communications and Nature Genetics.

In The Last Decade

Julia Ramírez

91 papers receiving 1.2k citations

Hit Papers

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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.

State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology

2025 14 citations Julia Ramírez et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Julia Ramírez	391	341	198	168	123	99	1.3k
Jennifer T. Anger	223 0.6×	164 0.5×	239 1.2×	137 0.8×	60 0.5×	175	2.6k
Phoebe Lindsey Barton	93 0.2×	256 0.8×	292 1.5×	92 0.5×	73 0.6×	22	1.0k
Neri Alejandro Álvarez‐Villalobos	159 0.4×	112 0.3×	106 0.5×	53 0.3×	51 0.4×	65	1.1k
Geneviève Grégoire	190 0.5×	157 0.5×	143 0.7×	56 0.3×	141 1.1×	8	1.3k
Anna E. Ssentongo	83 0.2×	105 0.3×	128 0.6×	267 1.6×	65 0.5×	42	1.9k
Jill Jin	75 0.2×	131 0.4×	163 0.8×	172 1.0×	39 0.3×	154	1.1k
Diego Rosselli	62 0.2×	153 0.4×	225 1.1×	61 0.4×	171 1.4×	218	1.5k
Andrew Stoddart	222 0.6×	276 0.8×	183 0.9×	27 0.2×	42 0.3×	37	1.1k
Jacques Le Lorier	90 0.2×	179 0.5×	173 0.9×	47 0.3×	221 1.8×	21	1.3k
Somrat Lertmaharit	66 0.2×	122 0.4×	199 1.0×	112 0.7×	81 0.7×	67	1.6k

Countries citing papers authored by Julia Ramírez

Since Specialization

Citations

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

Fields of papers citing papers by Julia Ramírez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Ramírez

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

Duijvenboden, Stefan van, Julia Ramírez, Sirwan K.L. Darweesh, et al.. (2025). Heart Rate Profiles During Exercise and Incident Parkinson's Disease. Annals of Neurology. 98(5). 1004–1013. 1 indexed citations

Duijvenboden, Stefan van, et al.. (2024). PO-02-049 ECG-BASED UNSUPERVISED CLUSTERING IN CORONARY ARTERY DISEASE DETECTS AND PREDICTS HEART FAILURE. Heart Rhythm. 21(5). S278–S278.

Sanghvi, Mihir M., Julia Ramírez, Sucharitha Chadalavada, et al.. (2024). The Association Between Periodontal Disease and Cardiovascular Disease. SHILAP Revista de lepidopterología. 3(10). 101241–101241. 3 indexed citations

Ramírez, Julia, Alba Martín-Yebra, Marina M. Demidova, et al.. (2023). Changes in T-peak-to-T-end Morphology Measured by Time-Warping Are Associated with Ischemia-Induced Ventricular Fibrillation in a Porcine Model. Computing in cardiology. 1 indexed citations

Orini, Michele, Stefan van Duijvenboden, Julia Ramírez, et al.. (2023). Ultra-Short Beat-to-Beat Repolarization Variability Predicts Cardiovascular Events in Individuals without Cardiovascular Disease. Computing in cardiology. 1 indexed citations

Duijvenboden, Stefan van, Julia Ramírez, Michele Orini, et al.. (2023). Prognostic Significance of Different Ventricular Ectopic Burdens During Submaximal Exercise in Asymptomatic UK Biobank Subjects. Circulation. 148(24). 1932–1944. 4 indexed citations

Naderi, Hafiz, Julia Ramírez, Stefan van Duijvenboden, et al.. (2023). Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning. European Heart Journal - Digital Health. 4(4). 316–324. 11 indexed citations

Ramírez, Julia, et al.. (2022). Time-Warping Based End-of-T-Wave Shape Marker Reflects Repolarization Changes During Ischemia. Computing in cardiology. 1 indexed citations

Ramírez, Julia, Stefan van Duijvenboden, William J. Young, et al.. (2022). Prediction of Coronary Artery Disease and Major Adverse Cardiovascular Events Using Clinical and Genetic Risk Scores for Cardiovascular Risk Factors. Circulation Genomic and Precision Medicine. 15(5). e003441–e003441. 9 indexed citations

10.

Gomis, Pedro, et al.. (2022). Weighted Time Warping Improves T-Wave Morphology Markers Clinical Significance. IEEE Transactions on Biomedical Engineering. 69(9). 2787–2796. 2 indexed citations

11.

Ramírez, Julia, Antti M. Kiviniemi, Stefan van Duijvenboden, et al.. (2022). ECG T‐Wave Morphologic Variations Predict Ventricular Arrhythmic Risk in Low‐ and Moderate‐Risk Populations. Journal of the American Heart Association. 11(17). e025897–e025897. 16 indexed citations

12.

Woodward, John R., et al.. (2021). A Novel Two-Stage Heart Arrhythmia Ensemble Classifier. Computers. 10(5). 60–60. 15 indexed citations

13.

Gomis, Pedro, José Esteban Ruiz, Alba Martín-Yebra, et al.. (2021). ECG-based monitoring of blood potassium concentration: Periodic versus principal component as lead transformation for biomarker robustness. Biomedical Signal Processing and Control. 68. 102719–102719. 9 indexed citations

14.

Gomis, Pedro, José Esteban Ruiz, Alba Martín-Yebra, et al.. (2021). Nonlinear T-Wave Time Warping-Based Sensing Model for Non-Invasive Personalised Blood Potassium Monitoring in Hemodialysis Patients: A Pilot Study. Sensors. 21(8). 2710–2710. 2 indexed citations

15.

Young, William J., Helen R. Warren, Dennis O. Mook‐Kanamori, et al.. (2021). Genetically Determined Serum Calcium Levels and Markers of Ventricular Repolarization: A Mendelian Randomization Study in the UK Biobank. Circulation Genomic and Precision Medicine. 14(3). e003231–e003231. 10 indexed citations

16.

Duijvenboden, Stefan van, Julia Ramírez, William J. Young, et al.. (2021). Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders. Human Molecular Genetics. 30(24). 2513–2523. 3 indexed citations

17.

García‐González, Judit, et al.. (2020). The effects of polygenic risk for psychiatric disorders and smoking behaviour on psychotic experiences in UK Biobank. Translational Psychiatry. 10(1). 330–330. 9 indexed citations

18.

Bukhari, Syed Hassaan Ahmed, Julia Ramírez, Pablo Laguna, et al.. (2020). Characterization of T Wave Amplitude, Duration and Morphology Changes During Hemodialysis: Relationship With Serum Electrolyte Levels and Heart Rate. IEEE Transactions on Biomedical Engineering. 68(8). 2467–2478. 14 indexed citations

19.

Duijvenboden, Stefan van, Julia Ramírez, William J. Young, et al.. (2020). Genetic Basis and Prognostic Value of Exercise QT Dynamics. Circulation Genomic and Precision Medicine. 13(4). e002774–e002774. 13 indexed citations

20.

Bukhari, Syed Hassaan Ahmed, Mark Potse, Julia Ramírez, et al.. (2019). Transmural Ventricular Heterogeneities Play a Major Role in Determining T-Wave Morphology at Different Extracellular Potassium Levels. Zaguan (University of Zaragoza Repository). 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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