Markhasin Vs

507 total citations
46 papers, 310 citations indexed

About

Markhasin Vs is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Markhasin Vs has authored 46 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Markhasin Vs's work include Cardiomyopathy and Myosin Studies (19 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Ion channel regulation and function (10 papers). Markhasin Vs is often cited by papers focused on Cardiomyopathy and Myosin Studies (19 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Ion channel regulation and function (10 papers). Markhasin Vs collaborates with scholars based in Russia, United Kingdom and Bulgaria. Markhasin Vs's co-authors include Leonid B. Katsnelson, Olga Solovyova, Peter Köhl, Yuri Protsenko, Denis Noble, T. F. Shklyar, F. A. Blyakhman, A. S. Moskvin, Penelope J. Noble and D Noble and has published in prestigious journals such as Circulation Research, Biophysical Journal and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Markhasin Vs

40 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markhasin Vs Russia 9 287 144 59 26 16 46 310
R J Solaro United States 10 316 1.1× 211 1.5× 52 0.9× 29 1.1× 9 0.6× 15 401
M.B. Cannell New Zealand 7 198 0.7× 225 1.6× 109 1.8× 27 1.0× 7 0.4× 7 316
Yoshinao Sugai Japan 12 332 1.2× 126 0.9× 46 0.8× 18 0.7× 5 0.3× 26 388
Ryan D. Mateja United States 5 301 1.0× 209 1.5× 40 0.7× 52 2.0× 40 2.5× 5 406
Nico Kuijpers Netherlands 11 375 1.3× 62 0.4× 41 0.7× 29 1.1× 4 0.3× 28 411
W Giles Canada 10 474 1.7× 413 2.9× 253 4.3× 22 0.8× 4 0.3× 14 555
Jagdish Gulati United States 12 303 1.1× 229 1.6× 31 0.5× 76 2.9× 49 3.1× 27 450
Einar Sjaastad Nordén Norway 9 201 0.7× 122 0.8× 35 0.6× 13 0.5× 4 0.3× 14 260
Makenna M. Morck United States 5 369 1.3× 257 1.8× 15 0.3× 19 0.7× 15 0.9× 5 477
Maicon Landim-Vieira United States 13 279 1.0× 161 1.1× 16 0.3× 14 0.5× 27 1.7× 31 368

Countries citing papers authored by Markhasin Vs

Since Specialization
Citations

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

Fields of papers citing papers by Markhasin Vs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markhasin Vs

This figure shows the co-authorship network connecting the top 25 collaborators of Markhasin Vs. A scholar is included among the top collaborators of Markhasin Vs 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 Markhasin Vs. Markhasin Vs 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.
Solovyova, Olga, et al.. (2016). Functional geometry of the left ventricle in dilated cardiomyopathy before and after resynchronization therapy. CARDIOVASCULAR THERAPY AND PREVENTION. 15(1). 31–39.
2.
Moskvin, A. S., et al.. (2015). Electron-conformational transformations govern the temperature dependence of the cardiac ryanodine receptor gating. Journal of Experimental and Theoretical Physics Letters. 102(1). 62–68. 4 indexed citations
3.
Moskvin, A. S., et al.. (2015). The interaction of the membrane and calcium oscillators in cardiac pacemaker cells: Mathematical modeling. BIOPHYSICS. 60(6). 946–952. 4 indexed citations
4.
Solovyova, Olga, et al.. (2014). The cardiac muscle duplex as a method to study myocardial heterogeneity. Progress in Biophysics and Molecular Biology. 115(2-3). 115–128. 14 indexed citations
5.
La, Ivanova, et al.. (2012). Distinctive features of the functional geometry of the left ventricle in newborn infants. Electronic scientific archive of UrFU (Ural Federal University). 157–160. 1 indexed citations
6.
Moskvin, A. S., et al.. (2012). Simulation of the auto-oscillatory calcium dynamics in cardiomyocytes in terms of electron conformational theory. Doklady Biological Sciences. 444(1). 162–168. 5 indexed citations
7.
Solovyova, Olga, et al.. (2011). Functional geometry of human left ventriculum in ontogenesis. Doklady Biological Sciences. 439(1). 204–207. 2 indexed citations
8.
Vs, Markhasin, et al.. (2008). [Spatio-temporal heterogeneity of human left ventricle contractions in norm and under ischemic heart disease].. PubMed. 94(11). 1217–39. 6 indexed citations
9.
Solovyova, Olga, Leonid B. Katsnelson, Oleg Lookin, et al.. (2006). Activation sequence as a key factor in spatio-temporal optimization of myocardial function. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 364(1843). 1367–1383. 22 indexed citations
10.
Moskvin, A. S., et al.. (2005). Electron-conformational model of nonlinear dynamics of the ryanodine channel lattice in cardiomyocytes. Doklady Biochemistry and Biophysics. 400(1-6). 32–37. 7 indexed citations
11.
Moskvin, A. S., et al.. (2005). Electron-conformational model of ryanodine receptor lattice dynamics. Progress in Biophysics and Molecular Biology. 90(1-3). 88–103. 10 indexed citations
12.
Moskvin, A. S., et al.. (2004). Pseudo-spin kinetic Ising model of cardiac calcium-induced calcium release (CICR). Biophysical Journal. 86(1). 1 indexed citations
13.
Vs, Markhasin, et al.. (2004). [Electromechanical heterogeneity of the myocardium].. PubMed. 90(8). 1060–77. 4 indexed citations
14.
Vs, Markhasin, Olga Solovyova, Leonid B. Katsnelson, et al.. (2003). Mechano-electric interactions in heterogeneous myocardium: development of fundamental experimental and theoretical models. Progress in Biophysics and Molecular Biology. 82(1-3). 207–220. 69 indexed citations
15.
Vs, Markhasin, et al.. (2002). Effects of mechanical interaction between two rabbit cardiac muscles connected in parallel.. PubMed. 21(3). 277–301. 4 indexed citations
16.
Vs, Markhasin, et al.. (1997). [Experimental model of mechanically non-homogeneous myocardium (the duplex method)].. PubMed. 83(4). 131–4. 4 indexed citations
17.
Vs, Markhasin, et al.. (1990). [The instability of uniform blood-flow distribution in a microcirculatory system].. PubMed. 313(6). 1497–9. 1 indexed citations
18.
Vs, Markhasin, et al.. (1984). [Adrenaline-induced autorhythmic activity in the isolated atrial myocardium of mitral stenosis patients and its suppression by etmozin and ethacizin (the diethylamino analog of etmozin)].. PubMed. 98(10). 462–6. 1 indexed citations
19.
Vs, Markhasin, et al.. (1983). [The problem of myocardial contractility].. PubMed. 14(2). 82–97. 1 indexed citations
20.
Vs, Markhasin, et al.. (1981). [Effect of paired stimulation on the electrical and mechanical activity of myocardial cells in congenital and acquired heart defects].. PubMed. 21(11). 68–72.

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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