Jan Azarov

505 total citations
59 papers, 365 citations indexed

About

Jan Azarov is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jan Azarov has authored 59 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jan Azarov's work include Cardiac electrophysiology and arrhythmias (45 papers), Cardiac Arrhythmias and Treatments (17 papers) and Ion channel regulation and function (13 papers). Jan Azarov is often cited by papers focused on Cardiac electrophysiology and arrhythmias (45 papers), Cardiac Arrhythmias and Treatments (17 papers) and Ion channel regulation and function (13 papers). Jan Azarov collaborates with scholars based in Russia, Czechia and Sweden. Jan Azarov's co-authors include Pyotr G. Platonov, Marina M. Demidova, Iurii Semenov, Andrei G. Pakhomov, Maura Casciola, David Erlinge, Jonas Carlson, Jesper van der Pals, Sasha Koul and Emiliano Diez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The FASEB Journal.

In The Last Decade

Jan Azarov

53 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Azarov Russia 12 268 124 33 27 26 59 365
J J Mercadier France 8 219 0.8× 218 1.8× 24 0.7× 2 0.1× 18 0.7× 9 445
Robert B. Stagg United States 6 375 1.4× 135 1.1× 14 0.4× 13 0.5× 21 0.8× 6 638
Robert T. Grammer United States 7 399 1.5× 398 3.2× 20 0.6× 2 0.1× 17 0.7× 10 670
Henry D. Huang United States 11 198 0.7× 34 0.3× 11 0.3× 7 0.3× 8 0.3× 40 344
William Gorczyca United States 7 145 0.5× 148 1.2× 6 0.2× 10 0.4× 3 0.1× 10 306
R.E. Ideker United States 12 353 1.3× 66 0.5× 3 0.1× 12 0.4× 99 3.8× 27 414
P. M. Hogan United States 10 233 0.9× 135 1.1× 5 0.2× 3 0.1× 8 0.3× 14 319
Karine Laurent France 5 317 1.2× 269 2.2× 4 0.1× 13 0.5× 5 437
Nico Hartmann Germany 12 408 1.5× 314 2.5× 4 0.1× 3 0.1× 12 0.5× 21 495
Nicola L. Walker United Kingdom 9 175 0.7× 124 1.0× 11 0.3× 1 0.0× 21 0.8× 16 342

Countries citing papers authored by Jan Azarov

Since Specialization
Citations

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

Fields of papers citing papers by Jan Azarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Azarov

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Azarov. A scholar is included among the top collaborators of Jan Azarov 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 Jan Azarov. Jan Azarov 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
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Bačová, Barbara Szeiffová, et al.. (2023). Blockade of Melatonin Receptors Abolishes Its Antiarrhythmic Effect and Slows Ventricular Conduction in Rat Hearts. International Journal of Molecular Sciences. 24(15). 11931–11931. 5 indexed citations
4.
Demidova, Marina M., et al.. (2022). ECG Markers of Acute Melatonin Treatment in a Porcine Model of Acute Myocardial Ischemia. International Journal of Molecular Sciences. 23(19). 11800–11800. 5 indexed citations
5.
Kuzmin, V. S., et al.. (2022). Melatonin treatment improves ventricular conduction via upregulation of Nav1.5 channel proteins and sodium current in the normal rat heart. Journal of Pineal Research. 73(1). e12798–e12798. 4 indexed citations
6.
Azarov, Jan, et al.. (2022). Seasonal changes of electrophysiological heterogeneities in the rainbow trout ventricular myocardium. SHILAP Revista de lepidopterología. 5. 93–98. 2 indexed citations
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Azarov, Jan, et al.. (2020). Stretch-excitation correlation in the toad heart. Journal of Experimental Biology. 223(Pt 23). 2 indexed citations
9.
Khramova, Daria S., et al.. (2020). Melatonin Prevents Early but Not Delayed Ventricular Fibrillation in the Experimental Porcine Model of Acute Ischemia. International Journal of Molecular Sciences. 22(1). 328–328. 12 indexed citations
10.
Azarov, Jan, et al.. (2020). Contribution of Depolarization and Repolarization Changes to J-Wave Generation and Ventricular Fibrillation in Ischemia. Frontiers in Physiology. 11. 568021–568021. 4 indexed citations
11.
Kneppo, Peter, et al.. (2019). Multi‐lead vs single‐lead Tpeak‐Tend interval measurements for prediction of reperfusion ventricular tachyarrhythmias. Journal of Cardiovascular Electrophysiology. 30(10). 2090–2097. 6 indexed citations
12.
Azarov, Jan, et al.. (2019). Prolongation of The Activation Time in Ischemic Myocardium is Associated with J-wave Generation in ECG and Ventricular Fibrillation. Scientific Reports. 9(1). 12202–12202. 9 indexed citations
13.
Diez, Emiliano, et al.. (2019). Association Between Antiarrhythmic, Electrophysiological, and Antioxidative Effects of Melatonin in Ischemia/Reperfusion. International Journal of Molecular Sciences. 20(24). 6331–6331. 27 indexed citations
14.
Azarov, Jan, Iurii Semenov, Maura Casciola, & Andrei G. Pakhomov. (2018). Excitation of murine cardiac myocytes by nanosecond pulsed electric field. Journal of Cardiovascular Electrophysiology. 30(3). 392–401. 34 indexed citations
15.
Azarov, Jan, et al.. (2017). Repolarization in perfused myocardium predicts reperfusion ventricular tachyarrhythmias. Journal of Electrocardiology. 51(3). 542–548. 10 indexed citations
16.
Kneppo, Peter, et al.. (2016). Ventricular Electrical Heterogeneity in Experimental Diabetes Mellitus: Effect of Myocardial Ischemia. Physiological Research. 65(3). 437–445. 2 indexed citations
17.
Azarov, Jan, et al.. (2013). Effect of heart electric stimulation on repolarization of ventricular myocardium of fish and amphibians. Journal of Evolutionary Biochemistry and Physiology. 49(2). 165–174. 3 indexed citations
18.
Azarov, Jan, et al.. (2011). The contribution of ventricular apicobasal and transmural repolarization patterns to the development of the T wave body surface potentials in frogs (Rana temporaria) and pike (Esox lucius). Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 159(1). 39–45. 14 indexed citations
19.
Azarov, Jan, et al.. (2008). Repolarization of ventricular myocardium in atrioventricular electrical stimulation of the heart in dogs. Bulletin of Experimental Biology and Medicine. 146(2). 168–171. 1 indexed citations
20.
Azarov, Jan, et al.. (2008). Repolarization of epicardial ventricular surface of rabbit heart in acute stenosis of the aortic arch. Bulletin of Experimental Biology and Medicine. 146(2). 180–181. 1 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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