Fabio Lolicato

1.4k total citations
40 papers, 968 citations indexed

About

Fabio Lolicato is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Fabio Lolicato has authored 40 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Physiology and 11 papers in Cell Biology. Recurrent topics in Fabio Lolicato's work include Lipid Membrane Structure and Behavior (20 papers), Alzheimer's disease research and treatments (8 papers) and Protein Structure and Dynamics (7 papers). Fabio Lolicato is often cited by papers focused on Lipid Membrane Structure and Behavior (20 papers), Alzheimer's disease research and treatments (8 papers) and Protein Structure and Dynamics (7 papers). Fabio Lolicato collaborates with scholars based in Finland, Germany and Czechia. Fabio Lolicato's co-authors include Carmelo La Rosa, Danilo Milardi, Antonio Raudino, Michele F. M. Sciacca, Carmelo Tempra, Ilpo Vattulainen, Federica Scollo, Ayyalusamy Ramamoorthy, Walter Nickel and Luisa D’Urso and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Fabio Lolicato

37 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Lolicato Finland 18 618 416 174 106 75 40 968
Masaki Wakabayashi Japan 18 729 1.2× 453 1.1× 94 0.5× 103 1.0× 41 0.5× 41 1.1k
Søren B. Nielsen Denmark 22 692 1.1× 515 1.2× 105 0.6× 131 1.2× 44 0.6× 51 1.4k
Rita Carrotta Italy 18 767 1.2× 537 1.3× 86 0.5× 127 1.2× 85 1.1× 35 1.2k
Lydia Young United Kingdom 10 512 0.8× 480 1.2× 73 0.4× 118 1.1× 59 0.8× 13 812
Rita P.‐Y. Chen Taiwan 21 797 1.3× 299 0.7× 67 0.4× 104 1.0× 60 0.8× 55 1.2k
Yuanli Song United States 16 917 1.5× 347 0.8× 136 0.8× 44 0.4× 45 0.6× 34 1.3k
Lucie Khemtémourian France 19 861 1.4× 767 1.8× 189 1.1× 262 2.5× 53 0.7× 43 1.3k
Francesco Attanasio Italy 19 354 0.6× 373 0.9× 57 0.3× 81 0.8× 79 1.1× 48 782
Kris Pauwels Belgium 17 580 0.9× 495 1.2× 59 0.3× 78 0.7× 60 0.8× 35 1.0k
Ruo‐Xu Gu China 18 855 1.4× 178 0.4× 78 0.4× 37 0.3× 64 0.9× 36 1.1k

Countries citing papers authored by Fabio Lolicato

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Lolicato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Lolicato

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Lolicato. A scholar is included among the top collaborators of Fabio Lolicato 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 Fabio Lolicato. Fabio Lolicato 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.
Vermeulen, Bram J. A., Qi Gao, Annett Neuner, et al.. (2025). Conserved function of the HAUS6 calponin homology domain in anchoring augmin for microtubule branching. Nature Communications. 16(1). 7845–7845.
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Winter, Sophie L., Gonen Golani, Fabio Lolicato, et al.. (2023). The Ebola virus VP40 matrix layer undergoes endosomal disassembly essential for membrane fusion. The EMBO Journal. 42(11). e113578–e113578. 18 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
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Klein, Steffen, Gonen Golani, Fabio Lolicato, et al.. (2023). IFITM3 blocks influenza virus entry by sorting lipids and stabilizing hemifusion. Cell Host & Microbe. 31(4). 616–633.e20. 45 indexed citations
8.
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
9.
Kupke, Thomas, Florian Richter, Rainer Beck, et al.. (2023). In vivo characterization of the bacterial intramembrane-cleaving protease RseP using the heme binding tag-based assay iCliPSpy. Communications Biology. 6(1). 287–287. 1 indexed citations
10.
Lolicato, Fabio, Federica Scollo, Hans‐Michael Müller, et al.. (2022). Cholesterol promotes clustering of PI(4,5)P2 driving unconventional secretion of FGF2. The Journal of Cell Biology. 221(11). 11 indexed citations
11.
Sancho, Mónica, Fabio Lolicato, Matti Javanainen, et al.. (2020). Mcl-1 and Bok transmembrane domains: Unexpected players in the modulation of apoptosis. Proceedings of the National Academy of Sciences. 117(45). 27980–27988. 28 indexed citations
12.
Sticht, Jana, Fabio Lolicato, Hans‐Michael Müller, et al.. (2020). The Na,K-ATPase acts upstream of phosphoinositide PI(4,5)P2 facilitating unconventional secretion of Fibroblast Growth Factor 2. Communications Biology. 3(1). 141–141. 20 indexed citations
13.
Sciacca, Michele F. M., Fabio Lolicato, Carmelo Tempra, et al.. (2020). Lipid-Chaperone Hypothesis: A Common Molecular Mechanism of Membrane Disruption by Intrinsically Disordered Proteins. ACS Chemical Neuroscience. 11(24). 4336–4350. 121 indexed citations
14.
Rosa, Carmelo La, Marcello Condorelli, Giuseppe Compagnini, et al.. (2020). Symmetry-breaking transitions in the early steps of protein self-assembly. European Biophysics Journal. 49(2). 175–191. 29 indexed citations
15.
Gurtovenko, Andrey A., Matti Javanainen, Fabio Lolicato, & Ilpo Vattulainen. (2019). The Devil Is in the Details: What Do We Really Track in Single-Particle Tracking Experiments of Diffusion in Biological Membranes?. The Journal of Physical Chemistry Letters. 10(5). 1005–1011. 13 indexed citations
16.
Lolicato, Fabio, Hector Martinez‐Seara, Giovanna Fragneto, et al.. (2019). The Role of Temperature and Lipid Charge on Intake/Uptake of Cationic Gold Nanoparticles into Lipid Bilayers. Small. 15(23). e1805046–e1805046. 46 indexed citations
17.
Lolicato, Fabio, et al.. (2017). Nanoparticle builder: new software for preparing nanoparticles for molecular dynamics simulations. European Biophysics Journal. 46. 2 indexed citations
18.
Steringer, Julia P., Sascha Lange, Radek Šachl, et al.. (2017). Key steps in unconventional secretion of fibroblast growth factor 2 reconstituted with purified components. eLife. 6. 61 indexed citations
19.
Sciacca, Michele F. M., Fabio Lolicato, Danilo Milardi, et al.. (2016). The Role of Cholesterol in Driving IAPP-Membrane Interactions. Biophysical Journal. 111(1). 140–151. 77 indexed citations
20.
Rosa, Carmelo La, et al.. (2016). Lipid-assisted protein transport: A diffusion-reaction model supported by kinetic experiments and molecular dynamics simulations. The Journal of Chemical Physics. 144(18). 184901–184901. 48 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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