Radek Šachl

1.6k total citations
49 papers, 1.2k citations indexed

About

Radek Šachl is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Radek Šachl has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 9 papers in Atomic and Molecular Physics, and Optics and 9 papers in Biomedical Engineering. Recurrent topics in Radek Šachl's work include Lipid Membrane Structure and Behavior (37 papers), RNA Interference and Gene Delivery (9 papers) and Glycosylation and Glycoproteins Research (8 papers). Radek Šachl is often cited by papers focused on Lipid Membrane Structure and Behavior (37 papers), RNA Interference and Gene Delivery (9 papers) and Glycosylation and Glycoproteins Research (8 papers). Radek Šachl collaborates with scholars based in Czechia, Sweden and Russia. Radek Šachl's co-authors include Martin Hof, Mariana Amaro, Piotr Jurkiewicz, Marek Cebecauer, Maria J. Sarmento, Ilya Mikhalyov, Lennart B.‐Å. Johansson, Lukasz Cwiklik, Jana Humpolíčková and Robert Vácha and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Radek Šachl

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radek Šachl Czechia 20 1.0k 163 157 149 116 49 1.2k
Martin Stöckl Germany 18 912 0.9× 239 1.5× 112 0.7× 95 0.6× 166 1.4× 24 1.3k
Shelli L. Frey United States 17 628 0.6× 124 0.8× 105 0.7× 106 0.7× 61 0.5× 33 881
Eva Sevcsik Austria 14 793 0.8× 110 0.7× 163 1.0× 100 0.7× 113 1.0× 36 1.1k
Georg Krainer Germany 25 1.6k 1.6× 156 1.0× 240 1.5× 79 0.5× 187 1.6× 62 2.1k
Anne Hinderliter United States 18 1.1k 1.1× 122 0.7× 100 0.6× 203 1.4× 340 2.9× 35 1.3k
Martijn C. Koorengevel Netherlands 20 1.3k 1.3× 82 0.5× 197 1.3× 108 0.7× 130 1.1× 25 1.6k
Ernesto E. Ambroggio Argentina 14 794 0.8× 283 1.7× 67 0.4× 69 0.5× 157 1.4× 36 1.0k
Milka Doktorova United States 19 1.7k 1.7× 140 0.9× 400 2.5× 380 2.6× 225 1.9× 49 2.0k
Alexander Vogel Germany 23 904 0.9× 119 0.7× 42 0.3× 69 0.5× 131 1.1× 49 1.2k
Jannik B. Larsen Denmark 15 868 0.9× 76 0.5× 220 1.4× 78 0.5× 235 2.0× 34 1.1k

Countries citing papers authored by Radek Šachl

Since Specialization
Citations

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

Fields of papers citing papers by Radek Šachl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radek Šachl

This figure shows the co-authorship network connecting the top 25 collaborators of Radek Šachl. A scholar is included among the top collaborators of Radek Šachl 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 Radek Šachl. Radek Šachl 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.
Javanainen, Matti, Dale Tranter, Sarah O’Keefe, et al.. (2025). Lipid Scrambling Pathways in the Sec61 Translocon Complex. Journal of the American Chemical Society. 147(19). 15970–15984. 1 indexed citations
2.
Iglesias‐Artola, Juan M., Kai Schuhmann, Katelyn C. Cook, et al.. (2025). Quantitative imaging of lipid transport in mammalian cells. Nature. 646(8084). 474–482. 4 indexed citations
3.
Kukułka, Mercedes, Maria J. Sarmento, Ilya Mikhalyov, et al.. (2024). Nanoscopic organization and molecular presentation of gangliosides in biological membranes. Biophysical Journal. 123(3). 47a–48a.
4.
Lolicato, Fabio, Julia P. Steringer, Dániel Beyer, et al.. (2023). Disulfide bridge-dependent dimerization triggers FGF2 membrane translocation into the extracellular space. eLife. 12. 6 indexed citations
5.
Steringer, Julia P., Hans‐Michael Müller, Fabio Lolicato, et al.. (2023). Determining the Functional Oligomeric State of Membrane-Associated Protein Oligomers Forming Membrane Pores on Giant Lipid Vesicles. Analytical Chemistry. 95(23). 8807–8815. 4 indexed citations
6.
Šachl, Radek & Mariana Amaro. (2023). Fluorescence Spectroscopy and Microscopy in Biology. 8 indexed citations
7.
Biriukov, Denys, Carmelo Tempra, Hector Martinez‐Seara, et al.. (2022). Ionic Strength and Solution Composition Dictate the Adsorption of Cell-Penetrating Peptides onto Phosphatidylcholine Membranes. Langmuir. 38(37). 11284–11295. 18 indexed citations
8.
Zhang, Haodong, Ziyi Lu, Martin Hof, et al.. (2020). Hidden complexity in membrane permeabilization behavior of antimicrobial polycations. Physical Chemistry Chemical Physics. 23(2). 1475–1488. 11 indexed citations
9.
Sarmento, Maria J., et al.. (2020). Organization of gangliosides into membrane nanodomains. FEBS Letters. 594(22). 3668–3697. 17 indexed citations
10.
Mora, Néstor López, Aimee L. Boyle, Šárka Pokorná, et al.. (2020). Controlled Peptide-Mediated Vesicle Fusion Assessed by Simultaneous Dual-Colour Time-Lapsed Fluorescence Microscopy. Scientific Reports. 10(1). 3087–3087. 27 indexed citations
11.
Cebecauer, Marek, Mariana Amaro, Piotr Jurkiewicz, et al.. (2018). Membrane Lipid Nanodomains. Chemical Reviews. 118(23). 11259–11297. 158 indexed citations
12.
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
13.
Amaro, Mariana, Gerhard Gröbner, Philip T. F. Williamson, et al.. (2017). Lipid Driven Nanodomains in Giant Lipid Vesicles are Fluid and Disordered. Scientific Reports. 7(1). 5460–5460. 32 indexed citations
14.
Braun, S., Šárka Pokorná, Radek Šachl, et al.. (2017). Biomembrane Permeabilization: Statistics of Individual Leakage Events Harmonize the Interpretation of Vesicle Leakage. ACS Nano. 12(1). 813–819. 20 indexed citations
15.
Sjöholm, Johannes, Jan Bergstrand, Radek Šachl, et al.. (2017). The lateral distance between a proton pump and ATP synthase determines the ATP-synthesis rate. Scientific Reports. 7(1). 2926–2926. 45 indexed citations
16.
Amaro, Mariana, et al.. (2016). GM1 Ganglioside Inhibits β‐Amyloid Oligomerization Induced by Sphingomyelin. Angewandte Chemie International Edition. 55(32). 9411–9415. 83 indexed citations
17.
Amaro, Mariana, et al.. (2016). GM1‐Gangliosid hemmt die β‐Amyloid‐Oligomerisation, während Sphingomyelin diese initiiert. Angewandte Chemie. 128(32). 9557–9562. 1 indexed citations
18.
Štefl, Martin, Radek Šachl, Agnieszka Olżyńska, et al.. (2014). Comprehensive portrait of cholesterol containing oxidized membrane. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(7). 1769–1776. 19 indexed citations
19.
Amaro, Mariana, Radek Šachl, Piotr Jurkiewicz, et al.. (2014). Time-Resolved Fluorescence in Lipid Bilayers: Selected Applications and Advantages over Steady State. Biophysical Journal. 107(12). 2751–2760. 65 indexed citations
20.
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

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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