Thomas V. Karathanos

839 total citations
10 papers, 342 citations indexed

About

Thomas V. Karathanos is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Thomas V. Karathanos has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 2 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Thomas V. Karathanos's work include Neuroscience and Neural Engineering (10 papers), Photoreceptor and optogenetics research (10 papers) and Neural dynamics and brain function (2 papers). Thomas V. Karathanos is often cited by papers focused on Neuroscience and Neural Engineering (10 papers), Photoreceptor and optogenetics research (10 papers) and Neural dynamics and brain function (2 papers). Thomas V. Karathanos collaborates with scholars based in United States, Germany and France. Thomas V. Karathanos's co-authors include Natalia A. Trayanova, Patrick M. Boyle, Christoph Vogt, Bernd K. Fleischmann, Philipp Sasse, Hermenegild Arevalo, Tobias Bruegmann, Jason D. Bayer, Dafang Wang and Emilia Entcheva and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Physiology and Biophysical Journal.

In The Last Decade

Thomas V. Karathanos

10 papers receiving 341 citations

Peers

Thomas V. Karathanos
Harold M. McNamara United States
Luke Campagnola United States
L.А. Maltseva United States
William N. Goolsby United States
Craig D. Patten United States
Florian Engert United States
Suk Joon Lee United States
Damian C. Bell United Kingdom
Thomas V. Karathanos
Citations per year, relative to Thomas V. Karathanos Thomas V. Karathanos (= 1×) peers Marina Scardigli

Countries citing papers authored by Thomas V. Karathanos

Since Specialization
Citations

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

Fields of papers citing papers by Thomas V. Karathanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas V. Karathanos. 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 Thomas V. Karathanos. The network helps show where Thomas V. Karathanos may publish in the future.

Co-authorship network of co-authors of Thomas V. Karathanos

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas V. Karathanos. A scholar is included among the top collaborators of Thomas V. Karathanos 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 Thomas V. Karathanos. Thomas V. Karathanos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Boyle, Patrick M., Thomas V. Karathanos, & Natalia A. Trayanova. (2018). Cardiac Optogenetics: 2018. JACC. Clinical electrophysiology. 4(2). 155–167. 49 indexed citations
3.
Boyle, Patrick M., Michael J. Murphy, Thomas V. Karathanos, et al.. (2017). Termination of re‐entrant atrial tachycardia via optogenetic stimulation with optimized spatial targeting: insights from computational models. The Journal of Physiology. 596(2). 181–196. 14 indexed citations
4.
Boyle, Patrick M., Michael J. Murphy, Thomas V. Karathanos, et al.. (2016). Pulse Duration Determines Efficacy of Arrhythmia Termination via Targeted Optogenetic Stimulation. Biophysical Journal. 110(3). 585a–585a. 1 indexed citations
5.
Bruegmann, Tobias, Patrick M. Boyle, Christoph Vogt, et al.. (2016). Optogenetic defibrillation terminates ventricular arrhythmia in mouse hearts and human simulations. Journal of Clinical Investigation. 126(10). 3894–3904. 136 indexed citations
6.
Karathanos, Thomas V., Jason D. Bayer, Dafang Wang, Patrick M. Boyle, & Natalia A. Trayanova. (2016). Opsin spectral sensitivity determines the effectiveness of optogenetic termination of ventricular fibrillation in the human heart: a simulation study. The Journal of Physiology. 594(23). 6879–6891. 36 indexed citations
7.
Karathanos, Thomas V., Patrick M. Boyle, & Natalia A. Trayanova. (2016). Light-based Approaches to Cardiac Arrhythmia Research: From Basic Science to Translational Applications. Clinical Medicine Insights Cardiology. 10s1(Suppl 1). CMC.S39711–CMC.S39711. 8 indexed citations
8.
Boyle, Patrick M., Thomas V. Karathanos, Emilia Entcheva, & Natalia A. Trayanova. (2015). Computational modeling of cardiac optogenetics: Methodology overview & review of findings from simulations. Computers in Biology and Medicine. 65. 200–208. 23 indexed citations
9.
Karathanos, Thomas V., Patrick M. Boyle, & Natalia A. Trayanova. (2014). Optogenetics-enabled dynamic modulation of action potential duration in atrial tissue: feasibility of a novel therapeutic approach. EP Europace. 16(suppl 4). iv69–iv76. 31 indexed citations
10.
Boyle, Patrick M., Thomas V. Karathanos, & Natalia A. Trayanova. (2014). “Beauty is a light in the heart”: The transformative potential of optogenetics for clinical applications in cardiovascular medicine1. Trends in Cardiovascular Medicine. 25(2). 73–81. 30 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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