Peter Bronk
About
Peter Bronk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine.
According to data from OpenAlex, Peter Bronk has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peter Bronk's work include Cardiac electrophysiology and arrhythmias (10 papers), Cellular transport and secretion (7 papers) and Lipid Membrane Structure and Behavior (7 papers). Peter Bronk is often cited by papers focused on Cardiac electrophysiology and arrhythmias (10 papers), Cellular transport and secretion (7 papers) and Lipid Membrane Structure and Behavior (7 papers). Peter Bronk collaborates with scholars based in United States, Canada and Russia. Peter Bronk's co-authors include Konrad E. Zinsmaier, Vadim A. Frolov, Joshua Zimmerberg, Leonid Chernomordik, Eugenia Leikina, Thomas C. Südhof, Ken Dawson‐Scully, Harold L. Atwood, Ravi Ranjan and Zhiping Nie and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
In The Last Decade
Peter Bronk
25 papers receiving 1.6k citations
Peers
Peter Bronk
Ji Sun United States
Rudolf Bauerfeind Germany
Keisuke Kuroda Japan
Richard T. Ambron United States
Margarita Díaz‐Guerra Spain
Melissa M. Rolls United States
Daniela A. Sahlender United Kingdom
Dinesh C. Soares United Kingdom
Vincent P. Mauro United States
David William Provance Brazil
Citations per year, relative to Peter Bronk Peter Bronk (= 1×)
peers
Ji Sun
Countries citing papers authored by Peter Bronk
Since
Specialization
Citations
This map shows the geographic impact of Peter Bronk'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 Peter Bronk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bronk more than expected).
Fields of papers citing papers by Peter Bronk
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Peter Bronk. 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 Peter Bronk. The network helps show where Peter Bronk may publish in the future.
Co-authorship network of co-authors of Peter Bronk
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Bronk. A scholar is included among the top collaborators of Peter Bronk 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 Peter Bronk. Peter Bronk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kabakov, Anatoli Y., Karim Roder, Peter Bronk, et al.. (2024). E3 ubiquitin ligase rififylin has yin and yang effects on rabbit cardiac transient outward potassium currents (Ito) and corresponding channel proteins. Journal of Biological Chemistry. 300(3). 105759–105759.
2.
Moreau, Marjory, Peter Bronk, Jeffrey W. Fisher, et al.. (2024). In vitro to in vivo extrapolation from 3D hiPSC-derived cardiac microtissues and physiologically based pharmacokinetic modeling to inform next-generation arrhythmia risk assessment. Toxicological Sciences. 201(1). 145–157.
3.
Soepriatna, Arvin H., Allison Navarrete-Welton, Tae Yun Kim, et al.. (2023). Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues. PLoS ONE. 18(2). e0280406–e0280406.
4.
Navarrete-Welton, Allison, Tae Yun Kim, Peter Bronk, et al.. (2023). Abstract 12241: Low-Efficiency Gene Editing is Capable of Suppressing Arrhythmogenesis in Long QT Syndrome Type II: Computer Simulation Study. Circulation. 148(Suppl_1).
5.
Bronk, Peter, Tae Yun Kim, Yi Lu, et al.. (2023). Physiological role of SK channels in modulating cardiac repolarization: APD and dispersion at slow heart rate in long QT syndrome. Biophysical Journal. 122(3). 255a–255a.
6.
Murphy, Kevin R., Nilüfer N. Turan, Yichun Lu, et al.. (2023). Myofibroblast senescence promotes arrhythmogenic remodeling in the aged infarcted rabbit heart. eLife. 12.
7.
Kabakov, Anatoli Y., Yichun Lu, Karim Roder, et al.. (2021). Three-Week-Old Rabbit Ventricular Cardiomyocytes as a Novel System to Study Cardiac Excitation and EC Coupling. Frontiers in Physiology. 12. 672360–672360.
8.
Bronk, Peter, Tae Yun Kim, Iuliia Polina, et al.. (2020). Impact of ISK Voltage and Ca2+/Mg2+-Dependent Rectification on Cardiac Repolarization. Biophysical Journal. 119(3). 690–704.
9.
Bronk, Peter, Elena A. Kuklin, Srinivas Gorur-Shandilya, et al.. (2018). Regulation of Eag by Ca 2+ /calmodulin controls presynaptic excitability in Drosophila. Journal of Neurophysiology. 119(5). 1665–1680.
10.
Hamilton, Shanna, Radmila Terentyeva, Tae Yun Kim, et al.. (2018). Pharmacological Modulation of Mitochondrial Ca2+ Content Regulates Sarcoplasmic Reticulum Ca2+ Release via Oxidation of the Ryanodine Receptor by Mitochondria-Derived Reactive Oxygen Species. Frontiers in Physiology. 9. 1831–1831.
11.
Ni, Lina, Peter Bronk, Elaine C. Chang, et al.. (2013). A gustatory receptor paralogue controls rapid warmth avoidance in Drosophila. Nature. 500(7464). 580–584.
12.
Sharma, Manu, Jacqueline Burré, Peter Bronk, et al.. (2011). CSPα knockout causes neurodegeneration by impairing SNAP‐25 function. The EMBO Journal. 31(4). 829–841.
13.
Bronk, Peter, F. Deák, Michael C. Wilson, et al.. (2007). Differential Effects of SNAP-25 Deletion on Ca2+-Dependent and Ca2+-Independent Neurotransmission. Journal of Neurophysiology. 98(2). 794–806.
14.
Bronk, Peter, Zhiping Nie, Markus K. Klose, et al.. (2005). The Multiple Functions of Cysteine-String Protein Analyzed atDrosophilaNerve Terminals. Journal of Neuroscience. 25(9). 2204–2214.
15.
Song, Wei, Ravi Ranjan, Ken Dawson‐Scully, et al.. (2002). Presynaptic Regulation of Neurotransmission in Drosophila by the G Protein-Coupled Receptor Methuselah. Neuron. 36(1). 105–119.
16.
Zinsmaier, Konrad E. & Peter Bronk. (2001). Molecular chaperones and the regulation of neurotransmitter exocytosis11Abbreviations: SNARE, soluble NSF attachment protein (SNAP) receptor; NSF, N-ethylmaleimide-sensitive factor; Hsc70, 70-kDa heat-shock cognate protein; CSP, cysteine-string protein; VAMP vesicle-associated membrane protein; SNAP-25, synaptosome-associated protein 25 kDa; NEM, N-ethylmaleimide; AAA ATPases, ATPases Associated to a variety of Activities; and Hsp70, Hsp90, and Hsp60, 70-kDa, 90-kDa, and 60-kDa heat-shock protein, respectively.. Biochemical Pharmacology. 62(1). 1–11.
17.
Frolov, Vadim A., Myoung‐Soon Cho, Peter Bronk, Thomas S. Reese, & Joshua Zimmerberg. (2000). Multiple Local Contact Sites are Induced by GPI‐Linked Influenza Hemagglutinin During Hemifusion and Flickering Pore Formation. Traffic. 1(8). 622–630.
18.
Dawson‐Scully, Ken, Peter Bronk, Harold L. Atwood, & Konrad E. Zinsmaier. (2000). Cysteine-String Protein Increases the Calcium Sensitivity of Neurotransmitter Exocytosis in Drosophila. Journal of Neuroscience. 20(16). 6039–6047.
19.
Nie, Zhiping, et al.. (1999). Overexpression of Cysteine-String Proteins inDrosophilaReveals Interactions with Syntaxin. Journal of Neuroscience. 19(23). 10270–10279.
20.
Chernomordik, Leonid, Eugenia Leikina, Vadim A. Frolov, Peter Bronk, & Joshua Zimmerberg. (1997). An Early Stage of Membrane Fusion Mediated by the Low pH Conformation of Influenza Hemagglutinin Depends upon Membrane Lipids. The Journal of Cell Biology. 136(1). 81–93.
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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