Marek Bodnar

1.3k total citations
62 papers, 977 citations indexed

About

Marek Bodnar is a scholar working on Modeling and Simulation, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marek Bodnar has authored 62 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Modeling and Simulation, 24 papers in Molecular Biology and 20 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marek Bodnar's work include Mathematical Biology Tumor Growth (37 papers), Gene Regulatory Network Analysis (21 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (19 papers). Marek Bodnar is often cited by papers focused on Mathematical Biology Tumor Growth (37 papers), Gene Regulatory Network Analysis (21 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (19 papers). Marek Bodnar collaborates with scholars based in Poland, Spain and Ukraine. Marek Bodnar's co-authors include Urszula Foryś, Juan J. L. Velázquez, Monika Joanna Piotrowska, Jan Poleszczuk, Francis L. Macrina, Harvey A. Schenkein, Hansel M. Fletcher, Jacek Miȩkisz, Magdalena Bogdańska and Victor M. Pérez-Garcı́a and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Marek Bodnar

58 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Bodnar Poland 19 568 368 313 143 109 62 977
Urszula Foryś Poland 21 787 1.4× 469 1.3× 443 1.4× 185 1.3× 111 1.0× 93 1.1k
Steven R. Dunbar United States 14 452 0.8× 390 1.1× 270 0.9× 279 2.0× 149 1.4× 26 1.2k
Marcello Delitala Italy 21 677 1.2× 203 0.6× 357 1.1× 120 0.8× 97 0.9× 57 1.6k
Tohru Tsujikawa Japan 10 742 1.3× 281 0.8× 452 1.4× 127 0.9× 269 2.5× 34 900
Hai‐Yang Jin China 17 1.2k 2.1× 519 1.4× 512 1.6× 342 2.4× 363 3.3× 48 1.3k
Carlo Bianca Italy 25 662 1.2× 308 0.8× 287 0.9× 86 0.6× 77 0.7× 108 1.5k
K. Renee Fister United States 16 940 1.7× 575 1.6× 325 1.0× 179 1.3× 97 0.9× 28 1.5k
Mirosław Lachowicz Poland 21 608 1.1× 159 0.4× 274 0.9× 78 0.5× 149 1.4× 91 1.3k
Vincent Calvez France 14 571 1.0× 129 0.4× 284 0.9× 100 0.7× 144 1.3× 31 874
Christina Surulescu Germany 17 745 1.3× 167 0.5× 353 1.1× 91 0.6× 326 3.0× 49 899

Countries citing papers authored by Marek Bodnar

Since Specialization
Citations

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

Fields of papers citing papers by Marek Bodnar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Bodnar

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Bodnar. A scholar is included among the top collaborators of Marek Bodnar 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 Marek Bodnar. Marek Bodnar 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.
Szymańska, Zuzanna, et al.. (2025). CAR-T cell therapy for glioblastoma: insight from mathematical modeling. Frontiers in Immunology. 16. 1563829–1563829. 1 indexed citations
2.
Bodnar, Marek, et al.. (2024). Analyzing the impact of proliferation and treatment parameters on low-grade glioma growth using mathematical models. Physica D Nonlinear Phenomena. 472. 134491–134491.
3.
Bodnar, Marek, et al.. (2023). On the analysis of a mathematical model of CAR-T cell therapy for glioblastoma: Insights from a mathematical model. International Journal of Applied Mathematics and Computer Science. 33(3). 7 indexed citations
4.
Bodnar, Marek & María Pérez. (2019). Mathematical and numerical analysis of low-grade gliomas model and the effects of chemotherapy. Communications in Nonlinear Science and Numerical Simulation. 72. 552–564. 9 indexed citations
5.
Bogdańska, Magdalena, Marek Bodnar, Monika Joanna Piotrowska, et al.. (2017). A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications. PLoS ONE. 12(8). e0179999–e0179999. 30 indexed citations
6.
Bodnar, Marek, et al.. (2016). Mathematical model for path selection by ants between nest and food source. Mathematical Biosciences. 285. 14–24.
7.
Foryś, Urszula, Marek Bodnar, & Yuri Kogan. (2016). Asymptotic dynamics of some t-periodic one-dimensional model with application to prostate cancer immunotherapy. Journal of Mathematical Biology. 73(4). 867–883. 7 indexed citations
8.
Bodnar, Marek. (2015). General model of a cascade of reactions with time delays: Global stability analysis. Journal of Differential Equations. 259(2). 777–795. 9 indexed citations
9.
Bodnar, Marek, Urszula Foryś, & Monika Joanna Piotrowska. (2013). Logistic type equations with discrete delay and quasi-periodic suppression rate. Applied Mathematics Letters. 26(6). 607–611. 11 indexed citations
10.
Foryś, Urszula, Marek Bodnar, & Jan Poleszczuk. (2011). Negativity of delayed induced oscillations in a simple linear DDE. Applied Mathematics Letters. 24(6). 982–986. 8 indexed citations
11.
Bodnar, Marek, et al.. (2011). About a generalized model of lymphoma. Journal of Mathematical Analysis and Applications. 386(2). 813–829. 5 indexed citations
12.
Poleszczuk, Jan, et al.. (2011). New approach to modeling of antiangiogenic treatment on the basis of Hahnfeldt et al. model. Mathematical Biosciences & Engineering. 8(2). 591–603. 18 indexed citations
13.
Bodnar, Marek, Urszula Foryś, & Jan Poleszczuk. (2010). Analysis of biochemical reactions models with delays. Journal of Mathematical Analysis and Applications. 376(1). 74–83. 25 indexed citations
14.
Bodnar, Marek, Urszula Foryś, & Zuzanna Szymańska. (2009). Model of AIDS-related tumour with time delay. Applicationes Mathematicae. 36(3). 263–278. 9 indexed citations
15.
Bodnar, Marek & Juan J. L. Velázquez. (2005). An integro-differential equation arising as a limit of individual cell-based models. Journal of Differential Equations. 222(2). 341–380. 83 indexed citations
16.
Bodnar, Marek & Urszula Foryś. (2005). Time Delay In Necrotic Core Formation. Mathematical Biosciences & Engineering. 2(3). 461–472. 40 indexed citations
17.
Bodnar, Marek. (2004). On the differences and similarities of the first order delay and ordinary differential equations. Journal of Mathematical Analysis and Applications. 300(1). 172–188. 4 indexed citations
18.
Foryś, Urszula & Marek Bodnar. (2003). Time delays in proliferation process for solid avascular tumour. Mathematical and Computer Modelling. 37(11). 1201–1209. 59 indexed citations
19.
Foryś, Urszula & Marek Bodnar. (2003). Time delays in regulatory apoptosis for solid avascular tumour. Mathematical and Computer Modelling. 37(11). 1211–1220. 30 indexed citations
20.
Bodnar, Marek. (2000). The nonnegativity of solutions of delay differential equations. Applied Mathematics Letters. 13(6). 91–95. 66 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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