Fabrizio Capuani

1.2k total citations
21 papers, 773 citations indexed

About

Fabrizio Capuani is a scholar working on Molecular Biology, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Fabrizio Capuani has authored 21 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Computational Mechanics and 4 papers in Biomedical Engineering. Recurrent topics in Fabrizio Capuani's work include Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Lattice Boltzmann Simulation Studies (4 papers). Fabrizio Capuani is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Lattice Boltzmann Simulation Studies (4 papers). Fabrizio Capuani collaborates with scholars based in Italy, Netherlands and Austria. Fabrizio Capuani's co-authors include Andrea Ciliberto, Daan Frenkel, John J. Tyson, Ignacio Pagonabarraga, C. P. Lowe, Andrea De Martino, Daniele De Martino, Marco Cosentino Lagomarsino, Elisabetta Argenzio and Alexia Conte and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and The EMBO Journal.

In The Last Decade

Fabrizio Capuani

19 papers receiving 766 citations

Peers

Fabrizio Capuani

ONCOL

José C. M. Mombach Brazil

Daniel Klaue Germany

Peter Dieterich Germany

Rudolf Simson Germany

Dongshi Guan China

Stefan Semrau Netherlands

Dirk Lebiedz Germany

Yanxiang Zhao United States

Xin Lou China

David G. Míguez Spain

José C. M. Mombach Brazil

Fabrizio Capuani

569 ×1.3

207 ×1.4

268 ×2.4

67 ×0.8

118 ×1.5

ONCOL

Citations per year, relative to Fabrizio Capuani Fabrizio Capuani (= 1×) peers José C. M. Mombach

Countries citing papers authored by Fabrizio Capuani

Since Specialization

Citations

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

Fields of papers citing papers by Fabrizio Capuani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Capuani

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Capuani. A scholar is included among the top collaborators of Fabrizio Capuani 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 Fabrizio Capuani. Fabrizio Capuani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Biagioni, A., Ottorino Frezza, Francesca Lo Cicero, et al.. (2019). NaNet: a Reconfigurable PCIe Network Interface Card Architecture for Real-time Distributed Heterogeneous Stream Processing in the NA62 Low Level Trigger.. CINECA IRIS Institutial research information system (University of Pisa). 118–118. 2 indexed citations

Ammendola, Roberto, A. Biagioni, Fabrizio Capuani, et al.. (2018). The brain on low power architectures: Efficient simulation of cortical slow waves and asynchronous states. Zenodo (CERN European Organization for Nuclear Research).

Ammendola, Roberto, A. Biagioni, Fabrizio Capuani, et al.. (2018). Large scale low power computing system: Status of network design in ExaNeSt and EuroEXA projects. Zenodo (CERN European Organization for Nuclear Research).

Martino, Daniele De, Fabrizio Capuani, & Andrea De Martino. (2017). Quantifying the entropic cost of cellular growth control. Physical review. E. 96(1). 10401–10401. 13 indexed citations

Martino, Daniele De, Fabrizio Capuani, & Andrea De Martino. (2016). Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions inE.coli. Physical Biology. 13(3). 36005–36005. 30 indexed citations

Capuani, Fabrizio, Daniele De Martino, Enzo Marinari, & Andrea De Martino. (2015). Quantitative constraint-based computational model of tumor-to-stroma coupling via lactate shuttle. Scientific Reports. 5(1). 11880–11880. 13 indexed citations

Capuani, Fabrizio, Alexia Conte, Elisabetta Argenzio, et al.. (2015). Quantitative analysis reveals how EGFR activation and downregulation are coupled in normal but not in cancer cells. Nature Communications. 6(1). 7999–7999. 67 indexed citations

Parashuraman, Seetharaman, Francesco Iorio, Fabiana Ciciriello, et al.. (2015). Unravelling druggable signalling networks that control F508del-CFTR proteostasis. eLife. 4. 21 indexed citations

Martino, Daniele De, Fabrizio Capuani, & Andrea De Martino. (2014). Inferring metabolic phenotypes from the exometabolome through a thermodynamic variational principle. New Journal of Physics. 16(11). 115018–115018. 4 indexed citations

10.

Sigismund, Sara, Alexia Conte, Roberta Pascolutti, et al.. (2013). Threshold-controlled ubiquitination of the EGFR directs receptor fate. The EMBO Journal. 32(15). 2140–2157. 135 indexed citations

11.

Solinger, Jachen A., Roberta Paolinelli, Francesco Berlanda Scorza, et al.. (2010). The Caenorhabditis elegans Elongator Complex Regulates Neuronal α-tubulin Acetylation. PLoS Genetics. 6(1). e1000820–e1000820. 91 indexed citations

12.

Rambaldi, Davide, Federico M. Giorgi, Fabrizio Capuani, Andrea Ciliberto, & Francesca D. Ciccarelli. (2008). Low duplicability and network fragility of cancer genes. Trends in Genetics. 24(9). 427–430. 50 indexed citations

13.

Ciliberto, Andrea, Fabrizio Capuani, & John J. Tyson. (2007). Modeling Networks of Coupled Enzymatic Reactions Using the Total Quasi-Steady State Approximation. PLoS Computational Biology. 3(3). e45–e45. 127 indexed citations

14.

Capuani, Fabrizio, Ignacio Pagonabarraga, & Daan Frenkel. (2006). Lattice-Boltzmann simulation of the sedimentation of charged disks. The Journal of Chemical Physics. 124(12). 124903–124903. 19 indexed citations

15.

Capuani, Fabrizio, et al.. (2006). Lattice-Boltzmann Simulations of Ionic Current Modulation by DNA Translocation. Journal of Chemical Theory and Computation. 2(3). 495–503. 12 indexed citations

16.

Pagonabarraga, Ignacio, Fabrizio Capuani, & Daan Frenkel. (2005). Mesoscopic lattice modeling of electrokinetic phenomena. Computer Physics Communications. 169(1-3). 192–196. 16 indexed citations

17.

Capuani, Fabrizio, Ignacio Pagonabarraga, & Daan Frenkel. (2004). Discrete solution of the electrokinetic equations. The Journal of Chemical Physics. 121(2). 973–986. 85 indexed citations

18.

Lagomarsino, Marco Cosentino, Fabrizio Capuani, & C. P. Lowe. (2003). A simulation study of the dynamics of a driven filament in an Aristotelian fluid. Journal of Theoretical Biology. 224(2). 215–224. 57 indexed citations

19.

Capuani, Fabrizio, Daan Frenkel, & C. P. Lowe. (2003). Velocity fluctuations and dispersion in a simple porous medium. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(5). 56306–56306. 18 indexed citations

20.

Ciccotti, Giovanni, Carlo Pierleoni, Fabrizio Capuani, & В. С. Филинов. (1999). Wigner approach to the semiclassical dynamics of a quantum many-body system: the dynamic scattering function of 4He. Computer Physics Communications. 121-122. 452–459. 12 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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