V. Matveev

2.5k total citations
41 papers, 840 citations indexed

About

V. Matveev is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Condensed Matter Physics. According to data from OpenAlex, V. Matveev has authored 41 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Condensed Matter Physics. Recurrent topics in V. Matveev's work include Lipid Membrane Structure and Behavior (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Theoretical and Computational Physics (9 papers). V. Matveev is often cited by papers focused on Lipid Membrane Structure and Behavior (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Theoretical and Computational Physics (9 papers). V. Matveev collaborates with scholars based in United States, Russia and Netherlands. V. Matveev's co-authors include Arthur Sherman, Robert Shrock, Robert S. Zucker, Xiao‐Jing Wang, Richard Bertram, Alexander Mark Weber, Lyanne C. Schlichter, Elise F. Stanley, Adele Tufford and Amitabha Bose and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

V. Matveev

40 papers receiving 826 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Matveev United States 17 432 324 233 136 118 41 840
Yi-der Chen United States 17 113 0.3× 426 1.3× 58 0.2× 42 0.3× 102 0.9× 42 932
Gordon Chalmers United States 22 96 0.2× 220 0.7× 130 0.6× 14 0.1× 96 0.8× 70 1.5k
Vivien Kirk New Zealand 17 76 0.2× 274 0.8× 107 0.5× 25 0.2× 54 0.5× 42 888
Marc Courtemanche Canada 17 283 0.7× 664 2.0× 109 0.5× 30 0.2× 24 0.2× 23 2.2k
J. S. Shiner Switzerland 12 163 0.4× 260 0.8× 109 0.5× 28 0.2× 31 0.3× 34 822
Fagen Xie United States 22 162 0.4× 500 1.5× 137 0.6× 45 0.3× 10 0.1× 44 1.7k
Joel R. Stiles United States 17 414 1.0× 718 2.2× 153 0.7× 10 0.1× 199 1.7× 26 1.1k
Ovidiu Lipan United States 9 161 0.4× 373 1.2× 100 0.4× 12 0.1× 14 0.1× 26 1.6k
Teresa Ree Chay United States 23 524 1.2× 674 2.1× 756 3.2× 15 0.1× 41 0.3× 76 2.0k
Avner Priel Israel 14 176 0.4× 274 0.8× 87 0.4× 16 0.1× 117 1.0× 24 837

Countries citing papers authored by V. Matveev

Since Specialization
Citations

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

Fields of papers citing papers by V. Matveev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Matveev

This figure shows the co-authorship network connecting the top 25 collaborators of V. Matveev. A scholar is included among the top collaborators of V. Matveev 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 V. Matveev. V. Matveev 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
2.
Matveev, V.. (2022). Close agreement between deterministic versus stochastic modeling of first-passage time to vesicle fusion. Biophysical Journal. 121(23). 4569–4584. 2 indexed citations
3.
Matveev, V.. (2018). Extension of Rapid Buffering Approximation to Ca2+ Buffers with Two Binding Sites. Biophysical Journal. 114(5). 1204–1215. 5 indexed citations
4.
Matveev, V.. (2018). Comparison of Deterministic and Stochastic Approaches for Calcium Dependent Exocytosis. Biophysical Journal. 114(3). 283a–284a. 1 indexed citations
5.
Gandasi, Nikhil R., Peng Yin, Margarita V. Chibalina, et al.. (2017). Ca2+ channel clustering with insulin-containing granules is disturbed in type 2 diabetes. Journal of Clinical Investigation. 127(6). 2353–2364. 64 indexed citations
6.
Ryabchikov, D.I., V. Dorofeev, A. V. Ivashin, et al.. (2016). Analysis of the reaction π−Be → π−π0π0Be at VES. AIP conference proceedings. 1701. 40020–40020. 1 indexed citations
7.
Matveev, V. & Robert Shrock. (2015). Complex-temperature singularities of the susceptibility in the d = 2 Ising model: I. Square lattice. 1 indexed citations
8.
Matveev, V., et al.. (2012). Neuromodulatory changes in short-term synaptic dynamics may be mediated by two distinct mechanisms of presynaptic calcium entry. Journal of Computational Neuroscience. 33(3). 573–585. 7 indexed citations
9.
Nikolaenko, V.I., I. Kachaev, A. N. Karyukhin, et al.. (2011). RECENT RESULTS FROM VES EXPERIMENT. International Journal of Modern Physics A. 26(03n04). 511–516. 1 indexed citations
10.
Matveev, V., Richard Bertram, & Arthur Sherman. (2011). Calcium cooperativity of exocytosis as a measure of Ca2+ channel domain overlap. Brain Research. 1398. 126–138. 39 indexed citations
11.
Dorofeev, V., Yu. Gouz, A. V. Ivashin, et al.. (2011). Measurement of the f1(1285) → π+π−π0 decay. The European Physical Journal A. 47(5). 11 indexed citations
12.
Matveev, V., et al.. (2010). Non-weak inhibition and phase resetting at negative values of phase in cells with fast-slow dynamics at hyperpolarized potentials. Journal of Computational Neuroscience. 31(1). 31–42. 2 indexed citations
13.
Matveev, V., Richard Bertram, & Arthur Sherman. (2009). Ca2+Current versus Ca2+Channel Cooperativity of Exocytosis. Journal of Neuroscience. 29(39). 12196–12209. 19 indexed citations
14.
Matveev, V., et al.. (2008). Loss of phase-locking in non-weakly coupled inhibitory networks of type-I model neurons. Journal of Computational Neuroscience. 26(2). 303–320. 33 indexed citations
15.
Babich, Olga, V. Matveev, Andrew L. Harris, & Roman Shirokov. (2007). Ca2+-dependent Inactivation of CaV1.2 Channels Prevents Gd3+ Block: Does Ca2+ Block the Pore of Inactivated Channels?. The Journal of General Physiology. 129(6). 477–483. 22 indexed citations
16.
Matveev, V., Amitabha Bose, & Farzan Nadim. (2007). Capturing the bursting dynamics of a two-cell inhibitory network using a one-dimensional map. Journal of Computational Neuroscience. 23(2). 169–187. 16 indexed citations
17.
Matveev, V., Robert S. Zucker, & Arthur Sherman. (2004). Facilitation through Buffer Saturation: Constraints on Endogenous Buffering Properties. Biophysical Journal. 86(5). 2691–2709. 78 indexed citations
18.
Matveev, V., Arthur Sherman, & Robert S. Zucker. (2002). New and Corrected Simulations of Synaptic Facilitation. Biophysical Journal. 83(3). 1368–1373. 68 indexed citations
19.
Matveev, V.. (2000). Differential Short-term Synaptic Plasticity and Transmission of Complex Spike Trains: to Depress or to Facilitate?. Cerebral Cortex. 10(11). 1143–1153. 47 indexed citations
20.
Matveev, V. & Xiao‐Jing Wang. (2000). Implications of All-or-None Synaptic Transmission and Short-Term Depression beyond Vesicle Depletion: A Computational Study. Journal of Neuroscience. 20(4). 1575–1588. 90 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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