Marek Cebecauer

2.7k total citations
51 papers, 2.0k citations indexed

About

Marek Cebecauer is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Marek Cebecauer has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Immunology and 9 papers in Cell Biology. Recurrent topics in Marek Cebecauer's work include Lipid Membrane Structure and Behavior (17 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (9 papers). Marek Cebecauer is often cited by papers focused on Lipid Membrane Structure and Behavior (17 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (9 papers). Marek Cebecauer collaborates with scholars based in Czechia, Switzerland and United Kingdom. Marek Cebecauer's co-authors include Martin Hof, Piotr Jurkiewicz, Václav Hořejšı́, Jan Černý, Tomáš Brdička, Karel Drbal, Pavla Angelisová, Anthony I. Magee, Radek Šachl and Hannes Stockinger and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Marek Cebecauer

50 papers receiving 2.0k 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 Cebecauer Czechia 22 1.2k 669 204 203 156 51 2.0k
László Mátyus Hungary 21 1.0k 0.8× 375 0.6× 181 0.9× 105 0.5× 150 1.0× 54 1.7k
Erik Bos Netherlands 22 837 0.7× 323 0.5× 284 1.4× 151 0.7× 130 0.8× 44 1.7k
Christopher W. Cairo Canada 30 2.2k 1.8× 520 0.8× 268 1.3× 136 0.7× 169 1.1× 88 3.1k
Mario Brameshuber Austria 20 917 0.8× 693 1.0× 213 1.0× 316 1.6× 356 2.3× 42 1.9k
Eilon Sherman Israel 19 875 0.7× 396 0.6× 179 0.9× 145 0.7× 121 0.8× 42 1.5k
Weiping Jiang United States 26 1.2k 1.0× 239 0.4× 84 0.4× 267 1.3× 119 0.8× 83 2.2k
Herbert Treutlein Australia 20 1.2k 1.0× 220 0.3× 216 1.1× 358 1.8× 64 0.4× 37 1.9k
Jason E. Hudak United States 11 1.1k 1.0× 303 0.5× 323 1.6× 241 1.2× 178 1.1× 16 1.6k
Michio Hiroshima Japan 18 720 0.6× 881 1.3× 144 0.7× 206 1.0× 83 0.5× 46 1.7k
Sindy H. Wei United States 15 965 0.8× 1.8k 2.7× 264 1.3× 355 1.7× 374 2.4× 19 3.1k

Countries citing papers authored by Marek Cebecauer

Since Specialization
Citations

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

Fields of papers citing papers by Marek Cebecauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Cebecauer

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Cebecauer. A scholar is included among the top collaborators of Marek Cebecauer 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 Cebecauer. Marek Cebecauer 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.
Scollo, Federica, Waldemar Kulig, Anna‐Kristin Ludwig, et al.. (2025). Unraveling the GM1 Specificity of Galectin-1 Binding to Lipid Membranes. PubMed. 5(3). 415–426.
2.
Scollo, Federica, Carmelo Tempra, Agnieszka Olżyńska, et al.. (2024). Can calmodulin bind to lipids of the cytosolic leaflet of plasma membranes?. Open Biology. 14(9). 240067–240067. 1 indexed citations
3.
Franke, Christian, Álvaro Rodríguez, Dominic A. Helmerich, et al.. (2022). Approach to map nanotopography of cell surface receptors. Communications Biology. 5(1). 218–218. 6 indexed citations
4.
Cebecauerová, Dita, Ondřej Souček, Jiří Bronský, et al.. (2022). Two phenotypes of chronic recurrent multifocal osteomyelitis with different patterns of bone involvement. Pediatric Rheumatology. 20(1). 108–108. 9 indexed citations
5.
Cwiklik, Lukasz, et al.. (2021). The role of prolines and glycine in the transmembrane domain of LAT. FEBS Journal. 288(13). 4039–4052. 7 indexed citations
6.
Vališ, Karel, Jiří Černý, Josef Chmelı́k, et al.. (2020). Motif orientation matters: Structural characterization of TEAD1 recognition of genomic DNA. Structure. 29(4). 345–356.e8. 3 indexed citations
7.
Rozbeský, Daniel, et al.. (2019). Oligomeric Architecture of Mouse Activating Nkrp1 Receptors on Living Cells. International Journal of Molecular Sciences. 20(8). 1884–1884. 11 indexed citations
8.
Kovaříček, Petr, Marek Cebecauer, Jitka Neburková, et al.. (2018). Proton-Gradient-Driven Oriented Motion of Nanodiamonds Grafted to Graphene by Dynamic Covalent Bonds. ACS Nano. 12(7). 7141–7147. 17 indexed citations
9.
Cebecauer, Marek, Mariana Amaro, Piotr Jurkiewicz, et al.. (2018). Membrane Lipid Nanodomains. Chemical Reviews. 118(23). 11259–11297. 158 indexed citations
10.
Allolio, Christoph, Aniket Magarkar, Piotr Jurkiewicz, et al.. (2018). Arginine-rich cell-penetrating peptides induce membrane multilamellarity and subsequently enter via formation of a fusion pore. Proceedings of the National Academy of Sciences. 115(47). 11923–11928. 176 indexed citations
11.
Lukeš, Tomáš, Florian Levet, Aleš Benda, et al.. (2017). Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging. Nature Communications. 8(1). 1731–1731. 45 indexed citations
12.
Dziuba, Dmytro, Piotr Jurkiewicz, Marek Cebecauer, Martin Hof, & Michal Hocek. (2015). A Rotational BODIPY Nucleotide: An Environment‐Sensitive Fluorescence‐Lifetime Probe for DNA Interactions and Applications in Live‐Cell Microscopy. Angewandte Chemie International Edition. 55(1). 174–178. 115 indexed citations
13.
Štefl, Martin, Radek Šachl, Jana Humpolíčková, et al.. (2012). Dynamics and Size of Cross-Linking-Induced Lipid Nanodomains in Model Membranes. Biophysical Journal. 102(9). 2104–2113. 41 indexed citations
14.
Humpolíčková, Jana, Martin Štefl, Radek Šachl, et al.. (2012). Dynamics and Size of Crosslinking-Induced Lipid Nanodomains in Model Membranes. Biophysical Journal. 102(3). 294a–294a. 1 indexed citations
15.
Owen, Dylan M., Katharina Gaus, Anthony I. Magee, & Marek Cebecauer. (2010). Dynamic organization of lymphocyte plasma membrane: lessons from advanced imaging methods. Immunology. 131(1). 1–8. 24 indexed citations
16.
Angelov, Georgi S., Philippe Guillaume, Marek Cebecauer, et al.. (2006). Soluble MHC-Peptide Complexes Containing Long Rigid Linkers Abolish CTL-Mediated Cytotoxicity. The Journal of Immunology. 176(6). 3356–3365. 20 indexed citations
17.
Cebecauer, Marek, Philippe Guillaume, Pavel Hozák, et al.. (2005). Soluble MHC-Peptide Complexes Induce Rapid Death of CD8+ CTL. The Journal of Immunology. 174(11). 6809–6819. 47 indexed citations
18.
Cebecauer, Marek, Philippe Guillaume, Olivier Michielin, et al.. (2005). CD8+ Cytotoxic T Lymphocyte Activation by Soluble Major Histocompatibility Complex-Peptide Dimers. Journal of Biological Chemistry. 280(25). 23820–23828. 51 indexed citations
19.
Doucey, Marie‐Agnès, Daniel F. Legler, Mustapha Faroudi, et al.. (2003). The β1 and β3 Integrins Promote T Cell Receptor-mediated Cytotoxic T Lymphocyte Activation. Journal of Biological Chemistry. 278(29). 26983–26991. 58 indexed citations
20.
Drbal, Karel, Jan Černý, I Hilgert, et al.. (2000). CDw149 antibodies recognize a clustered subset of CD47 molecules associated with cytoplasmic signaling molecules. Tissue Antigens. 56(3). 258–267. 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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