Pawel Paszek

3.0k total citations
41 papers, 2.0k citations indexed

About

Pawel Paszek is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Pawel Paszek has authored 41 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Immunology and 14 papers in Cancer Research. Recurrent topics in Pawel Paszek's work include Immune Response and Inflammation (17 papers), Gene Regulatory Network Analysis (14 papers) and NF-κB Signaling Pathways (14 papers). Pawel Paszek is often cited by papers focused on Immune Response and Inflammation (17 papers), Gene Regulatory Network Analysis (14 papers) and NF-κB Signaling Pathways (14 papers). Pawel Paszek collaborates with scholars based in United Kingdom, Poland and United States. Pawel Paszek's co-authors include Michael White, David G. Spiller, Marek Kimmel, Tomasz Lipniacki, Allan R. Brasier, Claire V. Harper, D.A.J. Rand, Bruce A. Luxon, Louise Ashall and Caroline A. Horton and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Pawel Paszek

38 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pawel Paszek United Kingdom 22 1.2k 724 498 239 198 41 2.0k
Caroline A. Horton United Kingdom 8 974 0.8× 516 0.7× 468 0.9× 206 0.9× 116 0.6× 9 1.6k
Mariko Okada Japan 25 1.3k 1.1× 746 1.0× 461 0.9× 263 1.1× 140 0.7× 119 2.4k
Rachel L. Grimley United Kingdom 15 1.2k 1.0× 373 0.5× 315 0.6× 219 0.9× 111 0.6× 24 1.8k
David E. Nelson United Kingdom 17 1.3k 1.1× 547 0.8× 493 1.0× 257 1.1× 169 0.9× 33 2.4k
Elaine Sullivan United Kingdom 9 883 0.7× 372 0.5× 330 0.7× 190 0.8× 102 0.5× 13 1.4k
Adaoha Ihekwaba United Kingdom 7 854 0.7× 324 0.4× 300 0.6× 152 0.6× 118 0.6× 20 1.4k
Sol Efroni Israel 27 1.7k 1.4× 628 0.9× 419 0.8× 371 1.6× 208 1.1× 76 2.8k
Saurabh Saha United States 22 2.0k 1.6× 517 0.7× 572 1.1× 833 3.5× 231 1.2× 46 3.3k
Marc Jacobs United States 26 1.6k 1.4× 409 0.6× 325 0.7× 269 1.1× 128 0.6× 64 2.6k
Kristina Hanspers United States 19 2.3k 1.9× 246 0.3× 450 0.9× 210 0.9× 274 1.4× 25 3.1k

Countries citing papers authored by Pawel Paszek

Since Specialization
Citations

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

Fields of papers citing papers by Pawel Paszek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pawel Paszek

This figure shows the co-authorship network connecting the top 25 collaborators of Pawel Paszek. A scholar is included among the top collaborators of Pawel Paszek 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 Pawel Paszek. Pawel Paszek 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.
Haley, Michael, Cathal John Hannan, Pedro Oliveira, et al.. (2025). Spatial mapping of immune cell environments in NF2-related schwannomatosis vestibular schwannoma. Nature Communications. 16(1). 2944–2944.
2.
3.
WADSWORTH, C., et al.. (2024). Collective peroxide detoxification determines microbial mutation rate plasticity in E. coli. PLoS Biology. 22(7). e3002711–e3002711.
4.
Goldrick, Marie, Elizabeth M. Lord, David G. Spiller, et al.. (2024). Bacterial aggregation facilitates internalin-mediated invasion of Listeria monocytogenes. Frontiers in Cellular and Infection Microbiology. 14. 1411124–1411124. 1 indexed citations
5.
Downton, Polly, James Bagnall, Hazel England, et al.. (2023). Overexpression of IκB⍺ modulates NF-κB activation of inflammatory target gene expression. Frontiers in Molecular Biosciences. 10. 1187187–1187187. 10 indexed citations
6.
Haley, Michael, Christopher Hoyle, Leo Zeef, et al.. (2023). The comparable tumour microenvironment in sporadic andNF2-related schwannomatosis vestibular schwannoma. Brain Communications. 5(4). fcad197–fcad197. 12 indexed citations
7.
Bagnall, James, David G. Spiller, Werner Müller, et al.. (2022). Post-transcriptional regulatory feedback encodes JAK-STAT signal memory of interferon stimulation. Frontiers in Immunology. 13. 947213–947213. 7 indexed citations
8.
Bagnall, James, William Rowe, James K. Roberts, et al.. (2020). Gene-Specific Linear Trends Constrain Transcriptional Variability of the Toll-like Receptor Signaling. Cell Systems. 11(3). 300–314.e8. 14 indexed citations
9.
Bagnall, James, Hazel England, Ruth Brignall, et al.. (2018). Quantitative analysis of competitive cytokine signaling predicts tissue thresholds for the propagation of macrophage activation. Science Signaling. 11(540). 39 indexed citations
10.
Śmieja, Jarosław, David G. Spiller, Wiesława Widłak, et al.. (2018). Quantitative analysis reveals crosstalk mechanisms of heat shock-induced attenuation of NF-κB signaling at the single cell level. PLoS Computational Biology. 14(4). e1006130–e1006130. 12 indexed citations
11.
Brignall, Ruth, Pierre Cauchy, Sarah L. Bevington, et al.. (2017). Integration of Kinase and Calcium Signaling at the Level of Chromatin Underlies Inducible Gene Activation in T Cells. The Journal of Immunology. 199(8). 2652–2667. 53 indexed citations
12.
Jones, Nicholas A., James Boyd, Antony Adamson, et al.. (2016). Dynamic NF-κB and E2F interactions control the priority and timing of inflammatory signalling and cell proliferation. eLife. 5. 47 indexed citations
13.
Martín‐Sánchez, Fatima, Ana Isabel Gómez Córdoba, Alberto Baroja‐Mazo, et al.. (2016). Inflammasome-dependent IL-1β release depends upon membrane permeabilisation. Cell Death and Differentiation. 23(7). 1219–1231. 229 indexed citations
14.
Wang, Yunjiao, Pawel Paszek, Caroline A. Horton, et al.. (2011). Interactions among oscillatory pathways in NF-kappa B signaling. BMC Systems Biology. 5(1). 23–23. 28 indexed citations
15.
Wang, Yunjiao, Pawel Paszek, Caroline A. Horton, et al.. (2011). A systematic survey of the response of a model NF-κB signalling pathway to TNFα stimulation. Journal of Theoretical Biology. 297. 137–147. 23 indexed citations
16.
Lipniacki, Tomasz, Krzysztof Puszyński, Pawel Paszek, Allan R. Brasier, & Marek Kimmel. (2007). Single TNFα trimers mediating NF-κ B activation: stochastic robustness of NF-κ B signaling. BMC Bioinformatics. 8(1). 376–376. 55 indexed citations
17.
Paszek, Pawel. (2007). Modeling Stochasticity in Gene Regulation: Characterization in the Terms of the Underlying Distribution Function. Bulletin of Mathematical Biology. 69(5). 1567–1601. 27 indexed citations
18.
Lipniacki, Tomasz, Pawel Paszek, Allan R. Brasier, Bruce A. Luxon, & Marek Kimmel. (2005). Stochastic Regulation in Early Immune Response. Biophysical Journal. 90(3). 725–742. 79 indexed citations
19.
Paszek, Pawel, Tomasz Lipniacki, Allan R. Brasier, et al.. (2004). Stochastic effects of multiple regulators on expression profiles in eukaryotes. Journal of Theoretical Biology. 233(3). 423–433. 21 indexed citations
20.
Lipniacki, Tomasz, Pawel Paszek, Allan R. Brasier, Bruce A. Luxon, & Marek Kimmel. (2004). Mathematical model of NF-κB regulatory module. Journal of Theoretical Biology. 228(2). 195–215. 221 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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