Jeffrey Fish

3.2k total citations · 1 hit paper
31 papers, 2.3k citations indexed

About

Jeffrey Fish is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jeffrey Fish has authored 31 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 12 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jeffrey Fish's work include Cardiac electrophysiology and arrhythmias (18 papers), Cardiac Arrhythmias and Treatments (14 papers) and Ion channel regulation and function (12 papers). Jeffrey Fish is often cited by papers focused on Cardiac electrophysiology and arrhythmias (18 papers), Cardiac Arrhythmias and Treatments (14 papers) and Ion channel regulation and function (12 papers). Jeffrey Fish collaborates with scholars based in United States, Germany and United Kingdom. Jeffrey Fish's co-authors include Charles Antzelevitch, José M. Di Diego, Jonathan M. Cordeiro, Andrew C. Zygmunt, Luiz Belardinelli, Alexander Burashnikov, G. Neil Thomas, Guillermo J. Pérez, Robert J. Goodrow and Vladislav V. Nesterenko and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Jeffrey Fish

30 papers receiving 2.2k citations

Hit Papers

Electrophysiological Effects of Ranolazine, a Novel Antia... 2004 2026 2011 2018 2004 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
Jeffrey Fish United States 19 2.1k 1.3k 238 107 90 31 2.3k
Donglin Guo China 26 810 0.4× 976 0.8× 308 1.3× 78 0.7× 71 0.8× 60 1.4k
Alexander Burashnikov United States 27 3.3k 1.5× 1.6k 1.3× 323 1.4× 256 2.4× 140 1.6× 57 3.5k
Ronald Aronson United States 24 1.4k 0.7× 759 0.6× 381 1.6× 66 0.6× 88 1.0× 64 1.7k
Peter Spector United States 18 2.5k 1.2× 963 0.8× 370 1.6× 21 0.2× 76 0.8× 42 2.6k
Héctor Barajas-Martínez United States 26 1.8k 0.9× 1.5k 1.2× 346 1.5× 34 0.3× 17 0.2× 99 2.2k
Vladislav V. Nesterenko United States 21 2.3k 1.1× 1.9k 1.4× 480 2.0× 100 0.9× 39 0.4× 40 2.6k
José M. Di Diego United States 30 3.7k 1.7× 2.4k 1.8× 549 2.3× 209 2.0× 166 1.8× 59 4.0k
Edward B. Caref United States 22 1.7k 0.8× 732 0.6× 104 0.4× 48 0.4× 59 0.7× 38 1.9k
Elisa Passini United Kingdom 16 886 0.4× 599 0.5× 269 1.1× 25 0.2× 24 0.3× 45 1.1k
Göran Duker Sweden 26 1.7k 0.8× 1.4k 1.1× 321 1.3× 93 0.9× 48 0.5× 54 2.1k

Countries citing papers authored by Jeffrey Fish

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Fish

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Fish. A scholar is included among the top collaborators of Jeffrey Fish 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 Jeffrey Fish. Jeffrey Fish 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.
Miller, Matthew W., et al.. (2024). PO-04-119 IMPACT OF TISSUE CONTACT IMPEDANCE MONITORING ON PULSED FIELD ABLATION LESION PROFILE. Heart Rhythm. 21(5). S429–S430. 1 indexed citations
2.
Ghafoori, Elyar, Wilson Good, Misha Regouski, et al.. (2024). Diffuse functional and structural abnormalities in fibrosis: Potential structural basis for sustaining atrial fibrillation. Heart Rhythm. 22(7). 1820–1828. 3 indexed citations
4.
Ptaszek, Leon M., Jacob S. Koruth, Pasquale Santangeli, et al.. (2022). Safe and effective delivery of high-power, short-duration radiofrequency ablation lesions with a flexible-tip ablation catheter. Heart Rhythm O2. 4(1). 42–50. 9 indexed citations
5.
Hunter, David W., et al.. (2021). In Vitro Cell Selectivity of Reversible and Irreversible. Circulation Arrhythmia and Electrophysiology. 14(4). e008817–e008817. 44 indexed citations
6.
Neven, Kars, et al.. (2021). Absence of (sub-)acute cerebral events or lesions after electroporation ablation in the left-sided canine heart. Heart Rhythm. 18(6). 1004–1011. 25 indexed citations
8.
Lauder, Lucas, Sebastian Ewen, Jeffrey Fish, et al.. (2020). A drug-induced hypotensive challenge to verify catheter-based radiofrequency renal denervation in an obese hypertensive swine model. Clinical Research in Cardiology. 111(6). 595–603. 2 indexed citations
9.
Friedman, Daniel J., et al.. (2020). Impact of interruptions in radiofrequency energy delivery on lesion characteristics. Heart Rhythm. 17(8). 1354–1359. 7 indexed citations
10.
Holmes, Douglas, et al.. (2011). Abstract 13330: Steam Pop Prediction and Detection During Radiofrequency Ablation. Circulation. 124. 1 indexed citations
11.
Holmes, Douglas, et al.. (2010). Contact Sensing Provides a Highly Accurate Means to Titrate Radiofrequency Ablation Lesion Depth. Journal of Cardiovascular Electrophysiology. 22(6). 684–690. 28 indexed citations
12.
Wilde, Arthur A.M., Pieter G. Postema, José M. Di Diego, et al.. (2010). The pathophysiological mechanism underlying Brugada syndrome. Journal of Molecular and Cellular Cardiology. 49(4). 543–553. 244 indexed citations
13.
Fish, Jeffrey & Charles Antzelevitch. (2007). Cellular Mechanism and Arrhythmogenic Potential of T‐Wave Alternans in the Brugada Syndrome. Journal of Cardiovascular Electrophysiology. 19(3). 301–308. 37 indexed citations
14.
Antzelevitch, Charles & Jeffrey Fish. (2006). Therapy for the Brugada Syndrome. Handbook of experimental pharmacology. 305–330. 35 indexed citations
15.
Fish, Jeffrey, Josép Brugada, & Charles Antzelevitch. (2005). Potential Proarrhythmic Effects of Biventricular Pacing. Journal of the American College of Cardiology. 46(12). 2340–2347. 100 indexed citations
16.
Fish, Jeffrey & Charles Antzelevitch. (2004). Role of sodium and calcium channel block in unmasking the Brugada syndrome. Heart Rhythm. 1(2). 210–217. 111 indexed citations
17.
Fish, Jeffrey & Charles Antzelevitch. (2003). Cellular and ionic basis for the sex-related difference in the manifestation of the Brugada syndrome and progressive conduction disease phenotypes. Journal of Electrocardiology. 36. 173–179. 48 indexed citations
18.
Antzelevitch, Charles & Jeffrey Fish. (2001). Electrical heterogeneity within the ventricular wall. Basic Research in Cardiology. 96(6). 517–527. 231 indexed citations
19.
Sicouri, Serge, Jeffrey Fish, & Charles Antzelevitch. (1994). Distribution of M Cells in the Canine Ventricle. Journal of Cardiovascular Electrophysiology. 5(10). 824–837. 103 indexed citations
20.
Gensure, Robert, Jeffrey Fish, & Marian R. Walters. (1993). Dexamethasone Downregulates Vitamin D Receptors in Rat Kidney, Unmasking a High Affinity Binding Site. Biochemical and Biophysical Research Communications. 195(2). 1139–1144. 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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