Andrey Palyanov

487 total citations
19 papers, 284 citations indexed

About

Andrey Palyanov is a scholar working on Physiology, Aging and Molecular Biology. According to data from OpenAlex, Andrey Palyanov has authored 19 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Aging and 6 papers in Molecular Biology. Recurrent topics in Andrey Palyanov's work include Spaceflight effects on biology (7 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Andrey Palyanov is often cited by papers focused on Spaceflight effects on biology (7 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Andrey Palyanov collaborates with scholars based in Russia, United States and United Kingdom. Andrey Palyanov's co-authors include Stephen Larson, Michael Currie, Matteo Cantarelli, Padraig Gleeson, M.C. Vella, Н. А. Колчанов, S. F. Chekmarev, Balázs Szigeti, Martin Karplus and Jim Hokanson and has published in prestigious journals such as Physical Review Letters, The Journal of Physical Chemistry B and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Andrey Palyanov

14 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrey Palyanov Russia 9 107 92 51 46 40 19 284
Sagar Setru United States 5 91 0.9× 112 1.2× 86 1.7× 97 2.1× 66 1.6× 13 346
Philipp Khuc Trong United Kingdom 7 239 2.2× 74 0.8× 74 1.5× 88 1.9× 17 0.4× 7 505
Titas Sengupta United States 8 102 1.0× 57 0.6× 29 0.6× 42 0.9× 18 0.5× 13 302
Matteo Cantarelli United Kingdom 4 30 0.3× 64 0.7× 116 2.3× 77 1.7× 26 0.7× 11 234
Tosif Ahamed Netherlands 7 30 0.3× 78 0.8× 43 0.8× 27 0.6× 34 0.8× 9 179
Antonio Carlos Costa Netherlands 8 20 0.2× 61 0.7× 45 0.9× 19 0.4× 25 0.6× 10 182
Ozgur E. Akman United Kingdom 16 258 2.4× 12 0.1× 73 1.4× 49 1.1× 92 2.3× 39 614
Matthew S. Creamer United States 10 100 0.9× 71 0.8× 65 1.3× 166 3.6× 50 1.3× 14 302
Arlo Sheridan United States 8 138 1.3× 12 0.1× 69 1.4× 112 2.4× 22 0.6× 9 436
Alexandra Bokinsky United States 8 74 0.7× 39 0.4× 37 0.7× 17 0.4× 8 0.2× 13 284

Countries citing papers authored by Andrey Palyanov

Since Specialization
Citations

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

Fields of papers citing papers by Andrey Palyanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrey Palyanov

This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Palyanov. A scholar is included among the top collaborators of Andrey Palyanov 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 Andrey Palyanov. Andrey Palyanov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Sobolev, Ivan, Andrey Palyanov, Olga Kurskaya, et al.. (2023). The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period. Viruses. 15(10). 2014–2014. 2 indexed citations
2.
Palyanov, Andrey, et al.. (2023). On the space of SARS-CoV-2 genetic sequence variants. Vavilov Journal of Genetics and Breeding. 27(7). 839–850.
3.
Palyanov, Andrey, et al.. (2023). A software system for modeling evolution in a population of organisms with vision, interacting with each other in 3D simulator. Vavilov Journal of Genetics and Breeding. 26(8). 780–786.
4.
Palyanov, Andrey, Stella Koutsikou, Wenchang Li, et al.. (2021). From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals. PLoS Computational Biology. 17(12). e1009654–e1009654. 7 indexed citations
5.
6.
Palyanov, Andrey, et al.. (2018). Three-dimensional simulation of the Caenorhabditis elegans body and muscle cells in liquid and gel environments for behavioural analysis. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1758). 20170376–20170376. 19 indexed citations
7.
Sarma, Gopal, Bradly Alicea, Matteo Cantarelli, et al.. (2018). OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1758). 20170382–20170382. 46 indexed citations
8.
Palyanov, Andrey, et al.. (2016). Application of smoothed particle hydrodynamics to modeling mechanisms of biological tissue. Advances in Engineering Software. 98. 1–11. 18 indexed citations
9.
Palyanov, Andrey, et al.. (2015). On Separation between Metric Observers in Segal’s Compact Cosmos. Journal of Modern Physics. 6(14). 2040–2049.
10.
Gleeson, Padraig, Matteo Cantarelli, Michael Currie, et al.. (2015). The OpenWorm Project: currently available resources and future plans. BMC Neuroscience. 16(S1). 3 indexed citations
11.
Palyanov, Andrey, et al.. (2015). Sibernetic: A software complex based on the PCI SPH algorithm aimed at simulation problems in biomechanics. Russian Journal of Genetics Applied Research. 5(6). 635–641. 5 indexed citations
12.
Palyanov, Andrey, et al.. (2015). Some details of signal propagation in the nervous system of C. elegans. Russian Journal of Genetics Applied Research. 5(6). 642–649. 1 indexed citations
13.
Szigeti, Balázs, Padraig Gleeson, M.C. Vella, et al.. (2014). OpenWorm: an open-science approach to modeling Caenorhabditis elegans. Frontiers in Computational Neuroscience. 8. 137–137. 78 indexed citations
14.
15.
Palyanov, Andrey, et al.. (2012). Towards a virtual C. elegans: A framework for simulation and visualization of the neuromuscular system in a 3D physical environment. In Silico Biology. 11(3,4). 137–147. 23 indexed citations
16.
Laurent, Georges St., Dmitry Shtokalo, Mohammad Heydarian, et al.. (2012). Insights from the HuR-interacting transcriptome: ncRNAs, ubiquitin pathways, and patterns of secondary structure dependent RNA interactions. Molecular Genetics and Genomics. 287(11-12). 867–879. 8 indexed citations
17.
Chekmarev, S. F., Andrey Palyanov, & Martin Karplus. (2008). Hydrodynamic Description of Protein Folding. Physical Review Letters. 100(1). 18107–18107. 17 indexed citations
18.
Кочетов, А. В., et al.. (2007). AUG_hairpin: prediction of a downstream secondary structure influencing the recognition of a translation start site. BMC Bioinformatics. 8(1). 318–318. 45 indexed citations
19.
Palyanov, Andrey, Sergei V. Krivov, Martin Karplus, & S. F. Chekmarev. (2007). A Lattice Protein with an Amyloidogenic Latent State:  Stability and Folding Kinetics. The Journal of Physical Chemistry B. 111(10). 2675–2687. 9 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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