Vladimir V. Matchkov

3.7k total citations
109 papers, 2.9k citations indexed

About

Vladimir V. Matchkov is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Vladimir V. Matchkov has authored 109 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 40 papers in Physiology and 36 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Vladimir V. Matchkov's work include Ion channel regulation and function (37 papers), Nitric Oxide and Endothelin Effects (25 papers) and Cardiac electrophysiology and arrhythmias (19 papers). Vladimir V. Matchkov is often cited by papers focused on Ion channel regulation and function (37 papers), Nitric Oxide and Endothelin Effects (25 papers) and Cardiac electrophysiology and arrhythmias (19 papers). Vladimir V. Matchkov collaborates with scholars based in Denmark, Russia and United States. Vladimir V. Matchkov's co-authors include Christian Aalkjær, Holger Nilsson, Donna Briggs Boedtkjer, I. I. Krivoĭ, Hongli Peng, Elena V. Bouzinova, Vibeke Secher Dam, Awahan Rahman, Anders Ivarsen and В. В. Кравцова and has published in prestigious journals such as Circulation, Nature Communications and Circulation Research.

In The Last Decade

Vladimir V. Matchkov

100 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir V. Matchkov Denmark 30 1.5k 1.0k 798 447 230 109 2.9k
Nancy J. Rusch United States 39 2.1k 1.4× 1.5k 1.5× 1.5k 1.9× 747 1.7× 174 0.8× 110 3.9k
Oleg Palygin United States 33 1.3k 0.9× 419 0.4× 405 0.5× 811 1.8× 172 0.7× 124 3.1k
Thomas J. Heppner United States 24 1.5k 1.0× 749 0.7× 684 0.9× 602 1.3× 287 1.2× 60 2.9k
Nobuyuki Yanagihara Japan 34 1.9k 1.2× 1.2k 1.2× 716 0.9× 1.0k 2.3× 270 1.2× 183 4.2k
Victoria M. Bolotina United States 26 1.8k 1.2× 1.6k 1.5× 818 1.0× 863 1.9× 216 0.9× 42 3.6k
Heather A. Drummond United States 34 2.2k 1.4× 1.1k 1.1× 528 0.7× 322 0.7× 401 1.7× 83 3.8k
Kim A. Dora United Kingdom 34 1.8k 1.2× 2.8k 2.8× 1.6k 2.0× 449 1.0× 258 1.1× 100 4.7k
Giles A. Rae Brazil 31 1.0k 0.7× 1.7k 1.6× 298 0.4× 1.1k 2.4× 240 1.0× 119 3.0k
Simon J. Gibbons United States 42 2.1k 1.4× 1.1k 1.1× 474 0.6× 800 1.8× 300 1.3× 123 4.9k
Jürgen Daut Germany 37 3.1k 2.0× 521 0.5× 1.4k 1.8× 1.3k 2.9× 153 0.7× 68 4.3k

Countries citing papers authored by Vladimir V. Matchkov

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir V. Matchkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir V. Matchkov. 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 Vladimir V. Matchkov. The network helps show where Vladimir V. Matchkov may publish in the future.

Co-authorship network of co-authors of Vladimir V. Matchkov

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir V. Matchkov. A scholar is included among the top collaborators of Vladimir V. Matchkov 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 Vladimir V. Matchkov. Vladimir V. Matchkov 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.
Verkhratsky, Alexei, et al.. (2025). The astrocytic engine: Na + ,K + -ATPase at the nexus of brain function and malfunction. American Journal of Physiology-Cell Physiology. 330(1). C238–C251.
2.
Matchkov, Vladimir V., et al.. (2025). Cortical Microvascular Pulsatility in the Aging Mouse Brain and the Confounding Effects of Anesthesia. Advanced Science. 13(4). e19324–e19324.
3.
Garrelds, Ingrid M., et al.. (2025). Excess dietary potassium raises blood pressure in male mice by an aldosterone-dependent increase in ENaC. Communications Biology. 8(1). 1581–1581.
4.
Dam, Vibeke Secher, Joanna Kalucka, Hans Christian Beck, et al.. (2025). Spatial Transcriptomics and Proteomics Profiling After Ischemic Stroke Reperfusion: Insights Into Vascular Alterations. Stroke. 56(4). 1036–1047. 5 indexed citations
5.
Matchkov, Vladimir V., Yvonne A. Eiby, Ian Wright, et al.. (2025). Hypoxia and ischemic stroke modify cerebrovascular tone by upregulating endothelial BK(Ca) channels—Lessons from rat, pig, mouse, and human. Acta Physiologica. 241(4). e70030–e70030.
6.
7.
Vistisen, Simon Tilma, et al.. (2023). Combined effects of methadone and quetiapine on respiratory rate, haemodynamic variables, and temperature in conscious rats. Addiction Biology. 28(9). e13320–e13320. 1 indexed citations
8.
Gutiérrez‐Jiménez, Eugenio, et al.. (2023). Neurovascular Uncoupling Is Linked to Microcirculatory Dysfunction in Regions Outside the Ischemic Core Following Ischemic Stroke. Journal of the American Heart Association. 12(11). e029527–e029527. 19 indexed citations
9.
Skakkebæk, Anne, Kasper Kjær-Sørensen, Vladimir V. Matchkov, et al.. (2023). Dosage of the pseudoautosomal gene SLC25A6 is implicated in QTc interval duration. Scientific Reports. 13(1). 12089–12089. 4 indexed citations
10.
Iversen, Nina, et al.. (2021). Does Src Kinase Mediated Vasoconstriction Impair Penumbral Reperfusion?. Stroke. 52(6). e250–e258. 6 indexed citations
11.
Berg‐Hansen, Kristoffer, Palle Duun Rohde, Sukhan Kim, et al.. (2020). PTPRG is an ischemia risk locus essential for HCO3–-dependent regulation of endothelial function and tissue perfusion. eLife. 9. 14 indexed citations
12.
13.
Matchkov, Vladimir V., et al.. (2019). Effects on vascular tone and blood pressure by modulation of transglutaminase 2 conformation in rats. 1 indexed citations
14.
Postnov, Dmitry D., Elena V. Bouzinova, Karin Lykke‐Hartmann, et al.. (2019). Abnormal neurovascular coupling as a cause of excess cerebral vasodilation in familial migraine. Cardiovascular Research. 116(12). 2009–2020. 18 indexed citations
15.
Gaynullina, Dina K., et al.. (2019). Pro‐contractile role of chloride in arterial smooth muscle: Postnatal decline potentially governed by sympathetic nerves. Experimental Physiology. 104(7). 1018–1022. 4 indexed citations
16.
Bouzinova, Elena V., A. Matos‐Ferreira, Alexander Chibalin, et al.. (2018). The α2 isoform Na,K‐ATPase modulates contraction of rat mesenteric small artery via cSrc‐dependent Ca2+ sensitization. Acta Physiologica. 224(1). e13059–e13059. 16 indexed citations
17.
Matchkov, Vladimir V., et al.. (2016). Hypertension and physical exercise: The role of oxidative stress. Medicina. 52(1). 19–27. 161 indexed citations
18.
Matchkov, Vladimir V. & I. I. Krivoĭ. (2016). Specialized Functional Diversity and Interactions of the Na,K-ATPase. Frontiers in Physiology. 7. 179–179. 73 indexed citations
19.
Bouzinova, Elena V., Ove Wiborg, Christian Aalkjær, & Vladimir V. Matchkov. (2014). Role of Peripheral Vascular Resistance for the Association Between Major Depression and Cardiovascular Disease. Journal of Cardiovascular Pharmacology. 65(4). 299–307. 8 indexed citations
20.
Nilsson, Holger, et al.. (2005). A cyclic GMP-dependent calcium-activated chloride channel in smooth muscle tissues: properties, distribution and identity. Proceedings of The Physiological Society.

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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