Thomas Colatsky

5.1k total citations · 3 hit papers
57 papers, 3.5k citations indexed

About

Thomas Colatsky is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas Colatsky has authored 57 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 38 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas Colatsky's work include Cardiac electrophysiology and arrhythmias (39 papers), Ion channel regulation and function (30 papers) and Neuroscience and Neural Engineering (8 papers). Thomas Colatsky is often cited by papers focused on Cardiac electrophysiology and arrhythmias (39 papers), Ion channel regulation and function (30 papers) and Neuroscience and Neural Engineering (8 papers). Thomas Colatsky collaborates with scholars based in United States, Canada and Australia. Thomas Colatsky's co-authors include C H Follmer, Richard W. Tsien, David G. Strauss, C F Starmer, Emanuela H. Locati, Arthur Brown, Mark T. Keating, Carlo Napolitano, Silvia G. Priori and Francesco Cantù and has published in prestigious journals such as Nature, Circulation and Neuron.

In The Last Decade

Thomas Colatsky

57 papers receiving 3.3k citations

Hit Papers

Long QT Syndrome Patients With Mutations of the SCN5A and... 1995 2026 2005 2015 1995 2011 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Colatsky United States 28 2.4k 2.2k 848 196 150 57 3.5k
David Rampe United States 37 2.4k 1.0× 3.1k 1.4× 1.3k 1.5× 318 1.6× 48 0.3× 84 4.4k
Norman Stockbridge United States 35 2.9k 1.2× 2.0k 0.9× 1.1k 1.3× 298 1.5× 90 0.6× 143 4.9k
Henry J. Duff Canada 48 5.8k 2.4× 3.8k 1.7× 913 1.1× 170 0.9× 96 0.6× 227 7.9k
Jean‐Pierre Valentin United Kingdom 39 1.9k 0.8× 1.8k 0.8× 672 0.8× 493 2.5× 75 0.5× 198 4.2k
Yuri A. Kuryshev United States 27 1.3k 0.6× 1.6k 0.7× 604 0.7× 105 0.5× 31 0.2× 51 2.4k
Michael K. Pugsley United States 27 1.2k 0.5× 1.1k 0.5× 455 0.5× 143 0.7× 33 0.2× 119 2.6k
William Crumb United States 25 1.7k 0.7× 1.6k 0.7× 540 0.6× 249 1.3× 52 0.3× 45 2.4k
Börje Darpö United States 30 2.0k 0.8× 1.2k 0.5× 188 0.2× 227 1.2× 92 0.6× 119 3.1k
Gui‐Rong Li China 36 3.0k 1.2× 3.0k 1.4× 845 1.0× 36 0.2× 39 0.3× 125 5.0k
Keitaro Hashimoto Japan 34 2.9k 1.2× 2.5k 1.1× 569 0.7× 39 0.2× 20 0.1× 283 4.2k

Countries citing papers authored by Thomas Colatsky

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Colatsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Colatsky

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

All Works

20 of 20 papers shown
1.
Chang, Kelly C., Sara Dutta, Gary R. Mirams, et al.. (2017). Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment. Frontiers in Physiology. 8. 917–917. 67 indexed citations
2.
Sheng, Jiansong, P. Tran, Zhihua Li, et al.. (2017). Characterization of loperamide-mediated block of hERG channels at physiological temperature and its proarrhythmia propensity. Journal of Pharmacological and Toxicological Methods. 88(Pt 2). 109–122. 17 indexed citations
3.
Li, Zhihua, Sara Dutta, Jiansong Sheng, et al.. (2016). A temperature-dependent in silico model of the human ether-à-go-go-related (hERG) gene channel. Journal of Pharmacological and Toxicological Methods. 81. 233–239. 32 indexed citations
4.
Colatsky, Thomas, Bernard Fermini, Gary A. Gintant, et al.. (2016). The Comprehensive in Vitro Proarrhythmia Assay (CiPA) initiative — Update on progress. Journal of Pharmacological and Toxicological Methods. 81. 15–20. 303 indexed citations breakdown →
5.
Shen, Jie, Lei Xu, Hong Fang, et al.. (2013). EADB: An Estrogenic Activity Database for Assessing Potential Endocrine Activity. Toxicological Sciences. 135(2). 277–291. 56 indexed citations
6.
Thompson, Karol L., Jun Zhang, Sharron Stewart, et al.. (2012). Comparison of urinary and serum levels of di-22:6-bis(monoacylglycerol)phosphate as noninvasive biomarkers of phospholipidosis in rats. Toxicology Letters. 213(2). 285–291. 11 indexed citations
7.
Kruhlak, Naomi L., R. Benz, Hongfei Zhou, & Thomas Colatsky. (2012). (Q)SAR Modeling and Safety Assessment in Regulatory Review. Clinical Pharmacology & Therapeutics. 91(3). 529–534. 70 indexed citations
8.
Goldstein, Steven A. & Thomas Colatsky. (1996). Ion Channels: Too Complex for Rational Drug Design?. Neuron. 16(5). 913–919. 16 indexed citations
9.
Colatsky, Thomas, et al.. (1994). Analysis of the potassium channel openers celikalim, pinacidil and cromakalim in platelet models of thrombosis. Thrombosis Research. 74(5). 441–452. 4 indexed citations
10.
Spinelli, Walter & Thomas Colatsky. (1994). Commentaries on the Cardiovascular Controversy by W Spinelli and T J Colatsky. Cardiovascular Research. 28(6). 926–928. 1 indexed citations
13.
Follmer, C H, Catherine A. Cullinan, & Thomas Colatsky. (1992). Differential block of cardiac delayed rectifier current by class Ic antiarrhythmic drugs: evidence for open channel block and unblock. Cardiovascular Research. 26(11). 1121–1130. 38 indexed citations
14.
Colatsky, Thomas. (1992). The Sicilian Gambit and antiarrhythmic drug development. Cardiovascular Research. 26(6). 562–565. 4 indexed citations
16.
Kitzen, Jan M., et al.. (1991). Potentiation of phosphodiesterase inhibitor antithrombotic activity with alpha-2 adrenergic blockade. Life Sciences. 48(7). PL31–PL35. 4 indexed citations
17.
Colatsky, Thomas. (1990). Potassium channels : basic function and therapeutic aspects : proceedings of the 29th Annual A.N. Richards Symposium held at Valley Forge, Pennsylvania, May 16-17, 1988. 2 indexed citations
18.
Spinelli, Walter, et al.. (1990). Effects of cromakalim, pinacidil and nicorandil on cardiac refractoriness and arterial pressure in open-chest dogs. European Journal of Pharmacology. 179(3). 243–252. 27 indexed citations
19.
Colatsky, Thomas, et al.. (1988). Cardiac Electrophysiology of the Antiarrhythmic Agent Recainam (Wy-42,362) in Anesthetized Dogs. Journal of Cardiovascular Pharmacology. 11(3). 308–316. 5 indexed citations
20.
Cohen, Charles J., Bruce P. Bean, Thomas Colatsky, & Richard W. Tsien. (1981). Tetrodotoxin block of sodium channels in rabbit Purkinje fibers. Interactions between toxin binding and channel gating.. The Journal of General Physiology. 78(4). 383–411. 153 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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