Yael Yaniv

2.8k total citations
89 papers, 2.0k citations indexed

About

Yael Yaniv is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yael Yaniv has authored 89 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Cardiology and Cardiovascular Medicine, 41 papers in Molecular Biology and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yael Yaniv's work include Cardiac electrophysiology and arrhythmias (55 papers), Ion channel regulation and function (23 papers) and Neuroscience and Neural Engineering (18 papers). Yael Yaniv is often cited by papers focused on Cardiac electrophysiology and arrhythmias (55 papers), Ion channel regulation and function (23 papers) and Neuroscience and Neural Engineering (18 papers). Yael Yaniv collaborates with scholars based in Israel, United States and Japan. Yael Yaniv's co-authors include Edward G. Lakatta, Steven J. Sollott, Dmitry B. Zorov, Hanne Nuss, Magdalena Juhaszova, Victor A. Maltsev, Joachim A. Behar, Alexey E. Lyashkov, Bruce D. Ziman and Su Wang 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

Yael Yaniv

85 papers receiving 2.0k citations

Peers

Yael Yaniv

CCM

CMN

PFM

PHYSI

Bryan F. Cox United States

Krekwit Shinlapawittayatorn Thailand

Bruce D. Ziman United States

Arun Sridhar United States

Paul A. Murray United States

Amir Pelleg United States

Jianping Wu China

Vladimir V. Matchkov Denmark

Derek A. Terrar United Kingdom

Aleksey V. Zima United States

Bryan F. Cox United States

Yael Yaniv

702 ×0.6

CCM

1.0k ×1.1

316 ×1.0

CMN

147 ×0.5

PFM

239 ×1.1

PHYSI

Citations per year, relative to Yael Yaniv Yael Yaniv (= 1×) peers Bryan F. Cox

Countries citing papers authored by Yael Yaniv

Since Specialization

Citations

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

Fields of papers citing papers by Yael Yaniv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yael Yaniv

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

Tsutsui, Kenta, et al.. (2025). Clinically meaningful interpretability of an AI model for ECG classification. npj Digital Medicine. 8(1). 109–109. 5 indexed citations

Yaniv, Yael, et al.. (2025). PhysioMEA: Signal processing platform for rate and rhythm analysis of multi-electrode array cardiac electrophysiological recordings. Journal of Molecular and Cellular Cardiology. 210. 137–149.

Lukyanenko, Yevgeniya, Inbar Brosh, Joachim A. Behar, et al.. (2023). cAMP signaling affects age-associated deterioration of pacemaker beating interval dynamics. GeroScience. 45(4). 2589–2600. 3 indexed citations

Juhaszova, Magdalena, Evgeny Kobrinsky, Dmitry B. Zorov, et al.. (2022). ATP Synthase K+- and H+-fluxes Drive ATP Synthesis and Enable Mitochondrial K+-“Uniporter” Function: II. Ion and ATP Synthase Flux Regulation. Function. 3(2). zqac001–zqac001. 22 indexed citations

Juhaszova, Magdalena, Evgeny Kobrinsky, Dmitry B. Zorov, et al.. (2021). ATP Synthase K+- and H+-Fluxes Drive ATP Synthesis and Enable Mitochondrial K+-“Uniporter” Function: I. Characterization of Ion Fluxes. Function. 3(2). zqab065–zqab065. 32 indexed citations

Val‐Blasco, Almudena, et al.. (2021). Sinus node dysfunction in heart failure is characterized by reduced CaMKII signaling. The Journal of General Physiology. 154(9). 2 indexed citations

Tsutsui, Kenta, et al.. (2021). Beating Rate Variability of Isolated Mammal Sinoatrial Node Tissue: Insight Into Its Contribution to Heart Rate Variability. Frontiers in Neuroscience. 14. 614141–614141. 9 indexed citations

Rosenberg, Aviv A., et al.. (2020). Signatures of the autonomic nervous system and the heart’s pacemaker cells in canine electrocardiograms and their applications to humans. Scientific Reports. 10(1). 9971–9971. 34 indexed citations

Yang, Dongmei, Alexey E. Lyashkov, Christopher H. Morrell, et al.. (2019). Rhythm and Rate of Action Potential Firing of Single Cardiac Pacemaker Cells Emerge from Concordant Beat to Beat Variability of Coupled Calcium and Membrane Potential Functions. Biophysical Journal. 116(3). 230a–230a.

10.

Yaniv, Yael, et al.. (2018). Automatic detection of atrial fibrillation. Journal of Clinical & Experimental Cardiology. 3 indexed citations

11.

Behar, Joachim A., et al.. (2018). Bioenergetic Feedback between Heart Cell Contractile Machinery and Mitochondrial 3D Deformations. Biophysical Journal. 115(8). 1603–1613. 3 indexed citations

12.

Behar, Joachim A., et al.. (2018). Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak Detector. JMIR mhealth and uhealth. 6(5). e118–e118. 7 indexed citations

13.

Behar, Joachim A., Aviv A. Rosenberg, Kevin R. Murphy, et al.. (2018). A Universal Scaling Relation for Defining Power Spectral Bands in Mammalian Heart Rate Variability Analysis. Frontiers in Physiology. 9. 1001–1001. 18 indexed citations

14.

Attali, Bernard, Joachim A. Behar, Dor Yadin, et al.. (2017). SK4 Ca 2+ -Activated K + Channels Regulate Sinoatrial Node Firing Rate and Cardiac Pacing In Vivo. Biophysical Journal. 112(3). 35a–35a. 2 indexed citations

15.

Yaniv, Yael & Edward G. Lakatta. (2015). The end effector of circadian heart rate variation: the sinoatrial node pacemaker cell. BMB Reports. 48(12). 677–684. 16 indexed citations

16.

Yaniv, Yael, Ismayil Ahmet, Jie Liu, et al.. (2014). Synchronization of sinoatrial node pacemaker cell clocks and its autonomic modulation impart complexity to heart beating intervals. Heart Rhythm. 11(7). 1210–1219. 51 indexed citations

17.

Maltsev, Victor A., et al.. (2014). Modern Perspectives on Numerical Modeling of Cardiac Pacemaker Cell. Journal of Pharmacological Sciences. 125(1). 6–38. 27 indexed citations

18.

Yaniv, Yael, Syevda Sirenko, Bruce D. Ziman, et al.. (2013). New evidence for coupled clock regulation of the normal automaticity of sinoatrial nodal pacemaker cells: Bradycardic effects of ivabradine are linked to suppression of intracellular Ca2+ cycling. Journal of Molecular and Cellular Cardiology. 62. 80–89. 54 indexed citations

19.

Yaniv, Yael, Magdalena Juhaszova, & Steven J. Sollott. (2013). Age-related changes of myocardial ATP supply and demand mechanisms. Trends in Endocrinology and Metabolism. 24(10). 495–505. 44 indexed citations

20.

Levy, Carmit, Henk E.D.J. ter Keurs, Yael Yaniv, & Amir Landesberg. (2005). The Sarcomeric Control of Energy Conversion. Annals of the New York Academy of Sciences. 1047(1). 219–231. 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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