Karoline Horgmo Jæger

948 total citations
27 papers, 503 citations indexed

About

Karoline Horgmo Jæger is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Karoline Horgmo Jæger has authored 27 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 13 papers in Cellular and Molecular Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Karoline Horgmo Jæger's work include Cardiac electrophysiology and arrhythmias (22 papers), Neuroscience and Neural Engineering (13 papers) and Ion channel regulation and function (9 papers). Karoline Horgmo Jæger is often cited by papers focused on Cardiac electrophysiology and arrhythmias (22 papers), Neuroscience and Neural Engineering (13 papers) and Ion channel regulation and function (9 papers). Karoline Horgmo Jæger collaborates with scholars based in Norway, United States and Canada. Karoline Horgmo Jæger's co-authors include Aslak Tveito, Andrew G. Edwards, Samuel Wall, Kevin E. Healy, Kent‐André Mardal, Bérénice Charrez, Miroslav Kuchta, Verena Charwat, Wayne R. Giles and Marie E. Rognes and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and PLoS Computational Biology.

In The Last Decade

Karoline Horgmo Jæger

26 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karoline Horgmo Jæger Norway	13	299	198	178	147	47	27	503
A.L. Muzikant United States	8	366 1.2×	114 0.6×	73 0.4×	89 0.6×	20 0.4×	9	566
J. Francis Heidlage United States	12	973 3.3×	411 2.1×	215 1.2×	56 0.4×	38 0.8×	16	1.1k
Yuanna Cheng United States	21	980 3.3×	329 1.7×	323 1.8×	75 0.5×	35 0.7×	32	1.2k
Frederick J. Vetter United States	9	432 1.4×	139 0.7×	71 0.4×	154 1.0×	12 0.3×	18	549
Bruce Hopenfeld United States	11	576 1.9×	80 0.4×	66 0.4×	54 0.4×	10 0.2×	23	648
Ali Baher United States	6	574 1.9×	376 1.9×	163 0.9×	26 0.2×	35 0.7×	6	626
R. H. Keldermann Netherlands	9	393 1.3×	147 0.7×	60 0.3×	91 0.6×	64 1.4×	12	480
Steven Girouard United States	15	1.5k 5.1×	737 3.7×	240 1.3×	57 0.4×	65 1.4×	27	1.7k
V. Nikolski United States	9	332 1.1×	206 1.0×	117 0.7×	87 0.6×	62 1.3×	12	514
P.R. Ershler United States	13	580 1.9×	129 0.7×	59 0.3×	40 0.3×	16 0.3×	26	656

Countries citing papers authored by Karoline Horgmo Jæger

Since Specialization

Citations

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

Fields of papers citing papers by Karoline Horgmo Jæger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karoline Horgmo Jæger. 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 Karoline Horgmo Jæger. The network helps show where Karoline Horgmo Jæger may publish in the future.

Co-authorship network of co-authors of Karoline Horgmo Jæger

This figure shows the co-authorship network connecting the top 25 collaborators of Karoline Horgmo Jæger. A scholar is included among the top collaborators of Karoline Horgmo Jæger 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 Karoline Horgmo Jæger. Karoline Horgmo Jæger 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

Jæger, Karoline Horgmo, William E. Louch, & Aslak Tveito. (2025). Reduced gap junction coupling amplifies the effects of cardiomyocyte variability and destabilizes the heartbeat. Physiological Reports. 13(13). e70461–e70461. 2 indexed citations

Jæger, Karoline Horgmo, Verena Charwat, Kevin E. Healy, Samuel Wall, & Aslak Tveito. (2025). Determining properties of human‐induced pluripotent stem cell‐derived cardiomyocytes using spatially resolved electromechanical metrics. The Journal of Physiology. 3 indexed citations

Jæger, Karoline Horgmo & Aslak Tveito. (2025). Electrodiffusion dynamics in the cardiomyocyte dyad at nano-scale resolution using the Poisson-Nernst-Planck (PNP) equations. PLoS Computational Biology. 21(6). e1013149–e1013149.

Jæger, Karoline Horgmo, Verena Charwat, Samuel Wall, Kevin E. Healy, & Aslak Tveito. (2024). Do calcium channel blockers applied to cardiomyocytes cause increased channel expression resulting in reduced efficacy?. npj Systems Biology and Applications. 10(1). 22–22. 5 indexed citations

Jæger, Karoline Horgmo, James Trotter, Xing Cai, Hermenegild Arevalo, & Aslak Tveito. (2024). Evaluating computational efforts and physiological resolution of mathematical models of cardiac tissue. Scientific Reports. 14(1). 16954–16954. 7 indexed citations

Jæger, Karoline Horgmo & Aslak Tveito. (2024). A possible path to persistent re-entry waves at the outlet of the left pulmonary vein. npj Systems Biology and Applications. 10(1). 79–79. 5 indexed citations

Jæger, Karoline Horgmo & Aslak Tveito. (2023). Efficient, cell-based simulations of cardiac electrophysiology; The Kirchhoff Network Model (KNM). npj Systems Biology and Applications. 9(1). 25–25. 13 indexed citations

Jæger, Karoline Horgmo & Aslak Tveito. (2023). Differential Equations for Studies in Computational Electrophysiology. 2 indexed citations

Jæger, Karoline Horgmo, et al.. (2023). Nano-scale solution of the Poisson-Nernst-Planck (PNP) equations in a fraction of two neighboring cells reveals the magnitude of intercellular electrochemical waves. PLoS Computational Biology. 19(2). e1010895–e1010895. 4 indexed citations

10.

Jæger, Karoline Horgmo & Aslak Tveito. (2023). The simplified Kirchhoff network model (SKNM): a cell-based reaction–diffusion model of excitable tissue. Scientific Reports. 13(1). 16434–16434. 7 indexed citations

11.

Charwat, Verena, Bérénice Charrez, Brian Siemons, et al.. (2022). Validating the Arrhythmogenic Potential of High-, Intermediate-, and Low-Risk Drugs in a Human-Induced Pluripotent Stem Cell-Derived Cardiac Microphysiological System. ACS Pharmacology & Translational Science. 5(8). 652–667. 16 indexed citations

12.

Huebsch, Nathaniel, Bérénice Charrez, Gabriel Neiman, et al.. (2022). Metabolically driven maturation of human-induced-pluripotent-stem-cell-derived cardiac microtissues on microfluidic chips. Nature Biomedical Engineering. 6(4). 372–388. 67 indexed citations

13.

Jæger, Karoline Horgmo, Andrew G. Edwards, Wayne R. Giles, & Aslak Tveito. (2022). Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve. Scientific Reports. 12(1). 7040–7040. 12 indexed citations

14.

Jæger, Karoline Horgmo, Samuel Wall, & Aslak Tveito. (2021). Computational prediction of drug response in short QT syndrome type 1 based on measurements of compound effect in stem cell-derived cardiomyocytes. PLoS Computational Biology. 17(2). e1008089–e1008089. 12 indexed citations

15.

Jæger, Karoline Horgmo, Andrew G. Edwards, Wayne R. Giles, & Aslak Tveito. (2021). A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes. PLoS Computational Biology. 17(8). e1009233–e1009233. 9 indexed citations

16.

Jæger, Karoline Horgmo, Verena Charwat, Bérénice Charrez, et al.. (2020). Improved Computational Identification of Drug Response Using Optical Measurements of Human Stem Cell Derived Cardiomyocytes in Microphysiological Systems. Frontiers in Pharmacology. 10. 1648–1648. 36 indexed citations

17.

Buccino, Alessio Paolo, Miroslav Kuchta, Karoline Horgmo Jæger, et al.. (2019). How does the presence of neural probes affect extracellular potentials?. Journal of Neural Engineering. 16(2). 26030–26030. 19 indexed citations

18.

Jæger, Karoline Horgmo, Samuel Wall, & Aslak Tveito. (2019). Detecting undetectables: Can conductances of action potential models be changed without appreciable change in the transmembrane potential?. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(7). 73102–73102. 14 indexed citations

19.

Jæger, Karoline Horgmo, Andrew G. Edwards, Andrew D. McCulloch, & Aslak Tveito. (2019). Properties of cardiac conduction in a cell-based computational model. PLoS Computational Biology. 15(5). e1007042–e1007042. 42 indexed citations

20.

Tveito, Aslak, Karoline Horgmo Jæger, Glenn Terje Lines, et al.. (2017). An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons. Frontiers in Computational Neuroscience. 11. 27–27. 43 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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