Pavol Bokes

889 total citations
28 papers, 427 citations indexed

About

Pavol Bokes is a scholar working on Molecular Biology, Genetics and Statistical and Nonlinear Physics. According to data from OpenAlex, Pavol Bokes has authored 28 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Genetics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Pavol Bokes's work include Gene Regulatory Network Analysis (25 papers), Bacterial Genetics and Biotechnology (7 papers) and Evolution and Genetic Dynamics (7 papers). Pavol Bokes is often cited by papers focused on Gene Regulatory Network Analysis (25 papers), Bacterial Genetics and Biotechnology (7 papers) and Evolution and Genetic Dynamics (7 papers). Pavol Bokes collaborates with scholars based in Slovakia, United States and United Kingdom. Pavol Bokes's co-authors include Abhyudai Singh, John R. King, Matthew Loose, Tomáš Gedeon, Andrew T. A. Wood, Iveta Waczulı́ková, Peter Slezák, Mohammad Soltani, Zachary Fox and Yen Ting Lin and has published in prestigious journals such as PLoS ONE, Biophysical Journal and Journal of Theoretical Biology.

In The Last Decade

Pavol Bokes

26 papers receiving 412 citations

Peers

Pavol Bokes

GENET

SNP

PPCH

BIOPH

Nicolae Radu Zabet United Kingdom

Mille Ankerstjerne Micheelsen Denmark

Guilherme C. P. Innocentini Brazil

Elizabeth Van Itallie United States

Regev Schweiger Israel

Mukhtar Ullah Pakistan

Stephen Smith United Kingdom

Mariola Szenk United States

Stefan Hellander Sweden

Ákos Sveiczer Hungary

Nicolae Radu Zabet United Kingdom

Pavol Bokes

547 ×1.5

155 ×1.0

GENET

20 ×0.4

SNP

11 ×0.4

PPCH

7 ×0.2

BIOPH

Citations per year, relative to Pavol Bokes Pavol Bokes (= 1×) peers Nicolae Radu Zabet

Countries citing papers authored by Pavol Bokes

Since Specialization

Citations

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

Fields of papers citing papers by Pavol Bokes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavol Bokes

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

All Works

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20 of 20 papers shown

Bokes, Pavol, et al.. (2025). Stochastic gene expression in proliferating cells: Differing noise intensity in single-cell and population perspectives. PLoS Computational Biology. 21(6). e1013014–e1013014. 1 indexed citations

Bokes, Pavol & Abhyudai Singh. (2024). Optimisation of gene expression noise for cellular persistence against lethal events. Journal of Theoretical Biology. 598. 111996–111996. 1 indexed citations

Bokes, Pavol, et al.. (2023). Reversible Transitions in a Fluctuation Assay Modify the Tail of Luria–Delbrück Distribution. Axioms. 12(3). 249–249.

Bokes, Pavol. (2022). Stationary and Time-Dependent Molecular Distributions in Slow-Fast Feedback Circuits. SIAM Journal on Applied Dynamical Systems. 21(2). 903–931. 1 indexed citations

Bokes, Pavol. (2021). Heavy-tailed distributions in a stochastic gene autoregulation model. Journal of Statistical Mechanics Theory and Experiment. 2021(11). 113403–113403. 5 indexed citations

Bokes, Pavol. (2021). Exact and WKB-approximate distributions in a gene expression model with feedback in burst frequency, burst size, and protein stability. Discrete and Continuous Dynamical Systems - B. 27(4). 2129–2129. 2 indexed citations

Bokes, Pavol. (2021). Postponing production exponentially enhances the molecular memory of a stochastic switch. European Journal of Applied Mathematics. 33(1). 182–199. 2 indexed citations

Bokes, Pavol & Abhyudai Singh. (2021). A modified fluctuation test for elucidating drug resistance in microbial and cancer cells. European Journal of Control. 62. 130–135. 8 indexed citations

Bokes, Pavol, Alessandro Borri, Pasquale Palumbo, & Abhyudai Singh. (2020). Mixture distributions in a stochastic gene expression model with delayed feedback: a WKB approximation approach. Journal of Mathematical Biology. 81(1). 343–367. 9 indexed citations

10.

Bokes, Pavol, Yen Ting Lin, & Abhyudai Singh. (2018). High Cooperativity in Negative Feedback can Amplify Noisy Gene Expression. Bulletin of Mathematical Biology. 80(7). 1871–1899. 11 indexed citations

11.

Bokes, Pavol & Abhyudai Singh. (2016). Gene expression noise is affected differentially by feedback in burst frequency and burst size. Journal of Mathematical Biology. 74(6). 1483–1509. 20 indexed citations

12.

Soltani, Mohammad, Pavol Bokes, Zachary Fox, & Abhyudai Singh. (2015). Nonspecific transcription factor binding can reduce noise in the expression of downstream proteins. Physical Biology. 12(5). 55002–55002. 31 indexed citations

13.

Bokes, Pavol & Abhyudai Singh. (2015). Protein Copy Number Distributions for a Self-Regulating Gene in the Presence of Decoy Binding Sites. PLoS ONE. 10(3). e0120555–e0120555. 23 indexed citations

14.

Bokes, Pavol, John R. King, Andrew T. A. Wood, & Matthew Loose. (2013). Transcriptional Bursting Diversifies the Behaviour of a Toggle Switch: Hybrid Simulation of Stochastic Gene Expression. Bulletin of Mathematical Biology. 75(2). 351–371. 19 indexed citations

15.

Singh, Abhyudai & Pavol Bokes. (2012). Consequences of mRNA Transport on Stochastic Variability in Protein Levels. Biophysical Journal. 103(5). 1087–1096. 69 indexed citations

16.

Gedeon, Tomáš & Pavol Bokes. (2012). Delayed Protein Synthesis Reduces the Correlation between mRNA and Protein Fluctuations. Biophysical Journal. 103(3). 377–385. 59 indexed citations

17.

Bokes, Pavol, John R. King, Andrew T. A. Wood, & Matthew Loose. (2011). Multiscale stochastic modelling of gene expression. Journal of Mathematical Biology. 65(3). 493–520. 33 indexed citations

18.

Bokes, Pavol, John R. King, Andrew T. A. Wood, & Matthew Loose. (2011). Exact and approximate distributions of protein and mRNA levels in the low-copy regime of gene expression. Journal of Mathematical Biology. 64(5). 829–854. 53 indexed citations

19.

Bokes, Pavol, John R. King, & Matthew Loose. (2009). A bistable genetic switch which does not require high co-operativity at the promoter: a two-timescale model for the PU.1-GATA-1 interaction. Mathematical Medicine and Biology A Journal of the IMA. 26(2). 117–132. 15 indexed citations

20.

Bokes, Pavol. (2006). A uniqueness result for a semilinear parabolic system. Journal of Mathematical Analysis and Applications. 331(1). 567–584. 4 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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