José Jalife

48.3k total citations · 4 hit papers
350 papers, 24.2k citations indexed

About

José Jalife is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, José Jalife has authored 350 papers receiving a total of 24.2k indexed citations (citations by other indexed papers that have themselves been cited), including 294 papers in Cardiology and Cardiovascular Medicine, 129 papers in Molecular Biology and 63 papers in Cellular and Molecular Neuroscience. Recurrent topics in José Jalife's work include Cardiac electrophysiology and arrhythmias (256 papers), Cardiac Arrhythmias and Treatments (100 papers) and Ion channel regulation and function (97 papers). José Jalife is often cited by papers focused on Cardiac electrophysiology and arrhythmias (256 papers), Cardiac Arrhythmias and Treatments (100 papers) and Ion channel regulation and function (97 papers). José Jalife collaborates with scholars based in United States, Spain and France. José Jalife's co-authors include Omer Berenfeld, Arkady M. Pertsov, Jorge M. Davidenko, Gordon K. Moe, Richard A. Gray, Sandeep V. Pandit, Ravi Mandapati, Remy Salomonsz, D C Michaels and William T. Baxter and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

José Jalife

343 papers receiving 23.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Stationary and drifting spiral waves of excitation in isolated cardiac muscle

1992 980 citations José Jalife et al. profile →
Spatial and temporal organization during cardiac fibrillation

1998 735 citations José Jalife et al. profile →
Cardiac electrophysiology and arrhythmias

1985 694 citations José Jalife et al. profile →
Spectral Analysis Identifies Sites of High-Frequency Activity Maintaining Atrial Fibrillation in Humans

2005 617 citations Omer Berenfeld, Ravi Vaidyanathan et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
José Jalife United States	87	18.9k	8.1k	3.3k	2.8k	1.8k	350	24.2k
James N. Weiss United States	79	13.8k 0.7×	12.7k 1.6×	3.3k 1.0×	1.4k 0.5×	1.5k 0.8×	345	22.2k
Alan Garfinkel United States	66	8.2k 0.4×	5.3k 0.6×	1.6k 0.5×	1.5k 0.5×	1.6k 0.9×	220	12.7k
Yoram Rudy United States	69	15.1k 0.8×	8.3k 1.0×	3.0k 0.9×	432 0.2×	716 0.4×	237	17.5k
Zhilin Qu United States	60	8.5k 0.5×	6.0k 0.7×	1.6k 0.5×	1.6k 0.6×	1.7k 0.9×	215	11.4k
Alexander V. Panfilov Belgium	51	6.7k 0.4×	3.2k 0.4×	1.4k 0.4×	2.5k 0.9×	1.8k 1.0×	219	9.7k
Peng‐Sheng Chen United States	65	13.3k 0.7×	4.9k 0.6×	1.5k 0.4×	435 0.2×	364 0.2×	374	15.9k
Igor R. Efimov United States	58	7.0k 0.4×	3.5k 0.4×	2.3k 0.7×	402 0.1×	268 0.1×	319	10.9k
Natalia A. Trayanova United States	60	9.8k 0.5×	2.4k 0.3×	2.1k 0.6×	228 0.1×	359 0.2×	422	12.4k
Maurits A. Allessie Netherlands	57	15.9k 0.8×	2.6k 0.3×	730 0.2×	592 0.2×	363 0.2×	157	17.0k
Wayne R. Giles Canada	65	10.0k 0.5×	9.8k 1.2×	4.7k 1.4×	261 0.1×	249 0.1×	232	14.2k

Countries citing papers authored by José Jalife

Since Specialization

Citations

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

Fields of papers citing papers by José Jalife

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Jalife

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

Macías, Álvaro, Francisco M. Cruz, Fernando Martínez, et al.. (2024). The Kir2.1E299V mutation increases atrial fibrillation vulnerability while protecting the ventricles against arrhythmias in a mouse model of short QT syndrome type 3. Cardiovascular Research. 120(5). 490–505. 6 indexed citations

Arco, Pablo Gómez‐del, Joan Isern, Daniel Jiménez‐Carretero, et al.. (2024). The G4 resolvase Dhx36 modulates cardiomyocyte differentiation and ventricular conduction system development. Nature Communications. 15(1). 8602–8602. 1 indexed citations

Cruz, Francisco M., et al.. (2022). Molecular stratification of arrhythmogenic mechanisms in the Andersen Tawil syndrome. Cardiovascular Research. 119(4). 919–932. 13 indexed citations

Mora, Alfonso, Elisa Manieri, Ivana Nikolić, et al.. (2022). MKK6 deficiency promotes cardiac dysfunction through MKK3-p38γ/δ-mTOR hyperactivation. eLife. 11. 14 indexed citations

Morotti, Stefano, Henry J. Duff, Junko Kurokawa, et al.. (2019). A computational model of induced pluripotent stem‐cell derived cardiomyocytes incorporating experimental variability from multiple data sources. The Journal of Physiology. 597(17). 4533–4564. 80 indexed citations

Martínez-Mateu, Laura, Lucía Romero, Rafael Sebastián, et al.. (2018). Factors affecting basket catheter detection of real and phantom rotors in the atria: A computational study. PLoS Computational Biology. 14(3). e1006017–e1006017. 42 indexed citations

Rocha, André Monteiro da, et al.. (2017). Abstract 16704: Epigenetic and Morphofunctional Changes in Human Induced Pluripotent Stem Cell-derived Cardiomyocytes Carrying a Mutation Causative of Premature Aging. Circulation. 136. 1 indexed citations

Herron, Todd J., André Monteiro da Rocha, Katherine Campbell, et al.. (2016). Extracellular Matrix–Mediated Maturation of Human Pluripotent Stem Cell–Derived Cardiac Monolayer Structure and Electrophysiological Function. Circulation Arrhythmia and Electrophysiology. 9(4). e003638–e003638. 191 indexed citations

Lin, Xianming, Heather A. O’Malley, Chunling Chen, et al.. (2014). Scn1b deletion leads to increased tetrodotoxin‐sensitive sodium current, altered intracellular calcium homeostasis and arrhythmias in murine hearts. The Journal of Physiology. 593(6). 1389–1407. 60 indexed citations

10.

Martínez-Mateu, Laura, Lucía Romero, Catalina Tobón, et al.. (2014). Accurate characterization of rotor activity during atrial fibrillation depends on the properties of the multi-electrode grid. Scopus. 41. 757–760. 1 indexed citations

11.

Herron, Todd J., José Jalife, Kathleen R. Maginot, et al.. (2013). Abstract 17750: A CPVT Mutation Confers Gain of Function to the Cardiac Ryanodine Receptor Channel. Characterization Using Cardiomyocytes Derived From Patient-Specific Ips Cells. Circulation. 2 indexed citations

12.

Milstein, Michelle L., Hassan Musa, Justus Anumonwo, et al.. (2012). Dynamic reciprocity of sodium and potassium channel expression in a macromolecular complex controls cardiac excitability and arrhythmia. Proceedings of the National Academy of Sciences. 109(31). E2134–43. 133 indexed citations

13.

Rysevaitė, Kristina, Inga Saburkina, Neringa Paužienė, et al.. (2010). Morphologic pattern of the intrinsic ganglionated nerve plexus in mouse heart. Heart Rhythm. 8(3). 448–454. 54 indexed citations

14.

Natale, Andrea & José Jalife. (2008). Atrial fibrillation : from bench to bedside. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 17 indexed citations

15.

Tanaka, Kazuhiko, Viviana Zlochiver, Karen L. Vikstrom, et al.. (2007). Spatial Distribution of Fibrosis Governs Fibrillation Wave Dynamics in the Posterior Left Atrium During Heart Failure. Circulation Research. 101(8). 839–847. 231 indexed citations

16.

Atienza, Felipe, Jesús Almendral, Javier Moreno, et al.. (2006). Activation of Inward Rectifier Potassium Channels Accelerates Atrial Fibrillation in Humans. Circulation. 114(23). 2434–2442. 200 indexed citations

17.

Rosenbaum, David & José Jalife. (2001). Optical mapping of cardiac excitation and arrhythmias. 90 indexed citations

18.

Krinsky, Valentin, Igor R. Efimov, & José Jalife. (1992). Vortices with linear cores in excitable media. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 437(1901). 645–655. 38 indexed citations

19.

Jalife, José, et al.. (1982). Models of parasystole and reentry in isolated Purkinje fibers.. PubMed. 57 Suppl. 14–9. 3 indexed citations

20.

Jalife, José, et al.. (1977). Reentry and ectopic mechanisms in the genesis of arrhythmias.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 47(2). 206–11. 4 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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