Marek Kochańczyk

1.2k total citations
33 papers, 716 citations indexed

About

Marek Kochańczyk is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Marek Kochańczyk has authored 33 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Infectious Diseases. Recurrent topics in Marek Kochańczyk's work include Gene Regulatory Network Analysis (8 papers), Protein Structure and Dynamics (7 papers) and COVID-19 epidemiological studies (4 papers). Marek Kochańczyk is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Protein Structure and Dynamics (7 papers) and COVID-19 epidemiological studies (4 papers). Marek Kochańczyk collaborates with scholars based in Poland, United States and Switzerland. Marek Kochańczyk's co-authors include Tomasz Lipniacki, Frederic Grabowski, Zbigniew Korwek, Maciej Czerkies, Irena Roterman, Michał Bryliński, Paweł J. Żuk, Paweł Kocieniewski, Sławomir Błoński and Marek Kimmel and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Bioinformatics.

In The Last Decade

Marek Kochańczyk

32 papers receiving 701 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 Kochańczyk Poland 16 357 169 116 112 69 33 716
Morgan Craig Canada 16 234 0.7× 127 0.8× 184 1.6× 112 1.0× 142 2.1× 50 785
Khanh Cong Nguyen Vietnam 14 477 1.3× 177 1.0× 128 1.1× 236 2.1× 113 1.6× 43 1.1k
Mehdi Bouhaddou United States 13 313 0.9× 189 1.1× 22 0.2× 83 0.7× 65 0.9× 24 583
Xiping Liu China 22 296 0.8× 43 0.3× 287 2.5× 128 1.1× 96 1.4× 79 1.2k
Tian-Hao Weng China 14 339 0.9× 633 3.7× 34 0.3× 146 1.3× 114 1.7× 25 1.1k
Chang Gong United States 15 317 0.9× 73 0.4× 222 1.9× 189 1.7× 324 4.7× 27 762
István Bartha Switzerland 17 413 1.2× 251 1.5× 26 0.2× 195 1.7× 35 0.5× 27 897
Ewa Szczurek Poland 18 497 1.4× 60 0.4× 70 0.6× 30 0.3× 57 0.8× 38 863
Frank S. Heldt Germany 13 512 1.4× 141 0.8× 33 0.3× 100 0.9× 168 2.4× 15 968
Hongjun Bai United States 13 481 1.3× 163 1.0× 24 0.2× 264 2.4× 35 0.5× 20 910

Countries citing papers authored by Marek Kochańczyk

Since Specialization
Citations

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

Fields of papers citing papers by Marek Kochańczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Kochańczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Kochańczyk. A scholar is included among the top collaborators of Marek Kochańczyk 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 Kochańczyk. Marek Kochańczyk 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.
Grabowski, Frederic, et al.. (2025). Information transmission in a cell monolayer: A numerical study. PLoS Computational Biology. 21(2). e1012846–e1012846. 1 indexed citations
2.
Korwek, Zbigniew, et al.. (2023). Nonself RNA rewires IFN-β signaling: A mathematical model of the innate immune response. Science Signaling. 16(815). eabq1173–eabq1173. 4 indexed citations
3.
Gagliardi, Paolo Armando, et al.. (2023). The MAPK/ERK channel capacity exceeds 6 bit/hour. PLoS Computational Biology. 19(5). e1011155–e1011155. 3 indexed citations
4.
Kochańczyk, Marek & Tomasz Lipniacki. (2021). Pareto-based evaluation of national responses to COVID-19 pandemic shows that saving lives and protecting economy are non-trade-off objectives. Scientific Reports. 11(1). 2425–2425. 25 indexed citations
5.
Kochańczyk, Marek, Frederic Grabowski, & Tomasz Lipniacki. (2020). Super-spreading events initiated the exponential growth phase of COVID-19 with ℛ 0 higher than initially estimated. Royal Society Open Science. 7(9). 200786–200786. 37 indexed citations
6.
Kochańczyk, Marek, Frederic Grabowski, & Tomasz Lipniacki. (2020). Dynamics of COVID-19 pandemic at constant and time-dependent contact rates. Mathematical Modelling of Natural Phenomena. 15. 28–28. 32 indexed citations
7.
Grabowski, Frederic, et al.. (2019). Limits to the rate of information transmission through the MAPK pathway. Journal of The Royal Society Interface. 16(152). 20180792–20180792. 9 indexed citations
8.
Czerkies, Maciej, Zbigniew Korwek, Marek Kochańczyk, et al.. (2018). Cell fate in antiviral response arises in the crosstalk of IRF, NF-κB and JAK/STAT pathways. Nature Communications. 9(1). 493–493. 79 indexed citations
9.
Varga, Andrea, Karin Ehrenreiter, Bertram Aschenbrenner, et al.. (2017). RAF1/BRAF dimerization integrates the signal from RAS to ERK and ROKα. Science Signaling. 10(469). 36 indexed citations
10.
Kochańczyk, Marek, Paweł Kocieniewski, Michael Pargett, et al.. (2017). Relaxation oscillations and hierarchy of feedbacks in MAPK signaling. Scientific Reports. 7(1). 38244–38244. 40 indexed citations
11.
Kochańczyk, Marek, Maciej Czerkies, Zbigniew Korwek, et al.. (2017). Information processing in the NF-κB pathway. Scientific Reports. 7(1). 15926–15926. 19 indexed citations
12.
Kochańczyk, Marek, et al.. (2016). Feedbacks, Bifurcations, and Cell Fate Decision-Making in the p53 System. PLoS Computational Biology. 12(2). e1004787–e1004787. 48 indexed citations
13.
Korwek, Zbigniew, et al.. (2016). Importins promote high-frequency NF-κB oscillations increasing information channel capacity. Biology Direct. 11(1). 61–61. 14 indexed citations
14.
Kochańczyk, Marek, et al.. (2015). Effective reaction rates in diffusion-limited phosphorylation-dephosphorylation cycles. Physical Review E. 91(2). 22702–22702. 6 indexed citations
15.
Aguda, Baltazar D., et al.. (2014). A Mathematical Model of Bimodal Epigenetic Control of miR-193a in Ovarian Cancer Stem Cells. PLoS ONE. 9(12). e116050–e116050. 18 indexed citations
16.
Kochańczyk, Marek, et al.. (2013). Levels of pro-apoptotic regulator Bad and anti-apoptotic regulator Bcl-xL determine the type of the apoptotic logic gate. BMC Systems Biology. 7(1). 67–67. 25 indexed citations
17.
Żuk, Paweł J., Marek Kochańczyk, Michael Junkin, et al.. (2013). Spontaneous NF-κB Activation by Autocrine TNFα Signaling: A Computational Analysis. PLoS ONE. 8(11). e78887–e78887. 52 indexed citations
18.
19.
Kochańczyk, Marek. (2011). Prediction of functionally important residues in globular proteins from unusual central distances of amino acids. BMC Structural Biology. 11(1). 34–34. 6 indexed citations
20.
Piwowar, Monika, Marek Kochańczyk, M. Malawski, et al.. (2009). In silicoStructural Study of Random Amino Acid Sequence Proteins Not Present in Nature. Chemistry & Biodiversity. 6(12). 2311–2336. 6 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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