Konstantin B. Blyuss

2.0k total citations
66 papers, 1.4k citations indexed

About

Konstantin B. Blyuss is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Konstantin B. Blyuss has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Public Health, Environmental and Occupational Health, 27 papers in Modeling and Simulation and 21 papers in Genetics. Recurrent topics in Konstantin B. Blyuss's work include Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), Evolution and Genetic Dynamics (20 papers) and COVID-19 epidemiological studies (18 papers). Konstantin B. Blyuss is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), Evolution and Genetic Dynamics (20 papers) and COVID-19 epidemiological studies (18 papers). Konstantin B. Blyuss collaborates with scholars based in United Kingdom, Ukraine and India. Konstantin B. Blyuss's co-authors include Yuliya N. Kyrychko, Eckehard Schöll, S. J. Hogan, Alicia Gonzalez-Buelga, David Wagg, Fahad Al Basir, Igor Brovchenko, Mario Recker, Cameron P. Simmons and Bridget Wills and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Konstantin B. Blyuss

64 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konstantin B. Blyuss United Kingdom 22 639 528 289 284 261 66 1.4k
Yuliya N. Kyrychko United Kingdom 20 396 0.6× 397 0.8× 230 0.8× 239 0.8× 275 1.1× 48 1.1k
Ali Raza Pakistan 23 828 1.3× 969 1.8× 208 0.7× 231 0.8× 116 0.4× 153 1.5k
Long Zhang China 24 811 1.3× 620 1.2× 458 1.6× 455 1.6× 719 2.8× 102 1.9k
Parvaiz Ahmad Naik China 27 1.1k 1.7× 1.3k 2.4× 284 1.0× 180 0.6× 167 0.6× 66 2.1k
S. Blythe United Kingdom 18 833 1.3× 382 0.7× 380 1.3× 212 0.7× 412 1.6× 32 1.7k
Samuel Bowong Cameroon 25 570 0.9× 525 1.0× 305 1.1× 979 3.4× 893 3.4× 138 2.0k
Il Hyo Jung South Korea 17 604 0.9× 581 1.1× 263 0.9× 134 0.5× 69 0.3× 98 1.3k
Sergei S. Pilyugin United States 22 497 0.8× 274 0.5× 406 1.4× 94 0.3× 178 0.7× 57 1.3k
Amr Elsonbaty Egypt 20 295 0.5× 386 0.7× 97 0.3× 421 1.5× 215 0.8× 80 1.1k
Ebenezer Bonyah Pakistan 39 915 1.4× 1.3k 2.5× 162 0.6× 322 1.1× 51 0.2× 228 4.2k

Countries citing papers authored by Konstantin B. Blyuss

Since Specialization
Citations

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

Fields of papers citing papers by Konstantin B. Blyuss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Konstantin B. Blyuss. 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 Konstantin B. Blyuss. The network helps show where Konstantin B. Blyuss may publish in the future.

Co-authorship network of co-authors of Konstantin B. Blyuss

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantin B. Blyuss. A scholar is included among the top collaborators of Konstantin B. Blyuss 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 Konstantin B. Blyuss. Konstantin B. Blyuss 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.
Blyuss, Konstantin B. & Yuliya N. Kyrychko. (2025). Mathematical model of replication–mutation dynamics in coronaviruses. Mathematical Biosciences. 388. 109518–109518.
2.
3.
Blyuss, Konstantin B. & Yuliya N. Kyrychko. (2023). Sex, ducks, and rock “n” roll: Mathematical model of sexual response. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(4). 2 indexed citations
4.
Blyuss, Konstantin B., et al.. (2023). Modeling the impact of hospital beds and vaccination on the dynamics of an infectious disease. Mathematical Biosciences. 368. 109133–109133. 8 indexed citations
5.
Blyuss, Konstantin B., et al.. (2021). Dynamics of coupled Kuramoto oscillators with distributed delays. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(10). 103107–103107. 4 indexed citations
6.
Nicholson, Lindsay B., et al.. (2020). Quantifying the Role of Stochasticity in the Development of Autoimmune Disease. Cells. 9(4). 860–860. 2 indexed citations
7.
Kyrychko, Yuliya N., et al.. (2020). Dynamics of unidirectionally-coupled ring neural network with discrete and distributed delays. Journal of Mathematical Biology. 80(6). 1617–1653. 6 indexed citations
8.
Kyrychko, Yuliya N., et al.. (2020). Dynamics of a predator-prey model with discrete and distributed delay. International Journal of Dynamical Systems and Differential Equations. 10(5). 427–427. 4 indexed citations
9.
Basir, Fahad Al, Konstantin B. Blyuss, & Santanu Ray. (2018). Modelling the effects of awareness-based interventions to control the mosaic disease of Jatropha curcas. Figshare. 37 indexed citations
10.
Kyrychko, Yuliya N., et al.. (2018). Dynamics of a subthalamic nucleus-globus palidus network with three delays. IFAC-PapersOnLine. 51(14). 294–299. 3 indexed citations
11.
Kyrychko, Yuliya N., et al.. (2017). Mathematical model for the impact of awareness on the dynamics of infectious diseases. Mathematical Biosciences. 286. 22–30. 68 indexed citations
12.
Kyrychko, Yuliya N., et al.. (2017). Time-delayed SIS epidemic model with population awareness. Sussex Research Online (University of Sussex). 21 indexed citations
13.
Kyrychko, Yuliya N., et al.. (2017). Dynamics of vaccination in a time-delayed epidemic model with awareness. Mathematical Biosciences. 294. 92–99. 38 indexed citations
14.
Blyuss, Konstantin B., et al.. (2016). Compact pairwise models for epidemics with multiple infectious stages on degree heterogeneous and clustered networks. Journal of Theoretical Biology. 407. 387–400. 5 indexed citations
15.
Blyuss, Konstantin B., et al.. (2015). Dynamics of multi-stage infections on networks. Sussex Research Online (University of Sussex). 11 indexed citations
16.
Kyrychko, Yuliya N., Konstantin B. Blyuss, & Eckehard Schöll. (2014). Synchronization of networks of oscillators with distributed delay coupling. Chaos An Interdisciplinary Journal of Nonlinear Science. 24(4). 43117–43117. 38 indexed citations
17.
Blyuss, Konstantin B. & Lindsay B. Nicholson. (2014). Understanding the roles of activation threshold and infections in the dynamics of autoimmune disease. Journal of Theoretical Biology. 375. 13–20. 11 indexed citations
18.
Blyuss, Konstantin B. & Yuliya N. Kyrychko. (2013). Instability of disease-free equilibrium in a model of malaria with immune delay. Mathematical Biosciences. 248. 54–56. 7 indexed citations
19.
Ullner, Ekkehard, Saúl Ares, Luis G. Morelli, et al.. (2012). NOISE AND OSCILLATIONS IN BIOLOGICAL SYSTEMS: MULTIDISCIPLINARY APPROACH BETWEEN EXPERIMENTAL BIOLOGY, THEORETICAL MODELLING AND SYNTHETIC BIOLOGY. International Journal of Modern Physics B. 26(25). 1246009–1246009. 2 indexed citations
20.
Kyrychko, Yuliya N., Konstantin B. Blyuss, S. J. Hogan, & Eckehard Schöll. (2009). Control of spatiotemporal patterns in the Gray–Scott model. Chaos An Interdisciplinary Journal of Nonlinear Science. 19(4). 43126–43126. 39 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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