Viola Folli

724 total citations
38 papers, 442 citations indexed

About

Viola Folli is a scholar working on Aging, Atomic and Molecular Physics, and Optics and Endocrine and Autonomic Systems. According to data from OpenAlex, Viola Folli has authored 38 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Aging, 12 papers in Atomic and Molecular Physics, and Optics and 9 papers in Endocrine and Autonomic Systems. Recurrent topics in Viola Folli's work include Genetics, Aging, and Longevity in Model Organisms (13 papers), Circadian rhythm and melatonin (9 papers) and Neural dynamics and brain function (5 papers). Viola Folli is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (13 papers), Circadian rhythm and melatonin (9 papers) and Neural dynamics and brain function (5 papers). Viola Folli collaborates with scholars based in Italy, United States and Germany. Viola Folli's co-authors include Giancarlo Ruocco, Claudio Conti, Marco Leonetti, Luca Leuzzi, Giorgio Gosti, Neda Ghofraniha, E. DelRe, Luca Angelani, Cinzia Daraio and Silvia Gentilini and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Viola Folli

35 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viola Folli Italy 13 123 106 78 69 68 38 442
Quentin Thommen France 16 262 2.1× 91 0.9× 24 0.3× 22 0.3× 167 2.5× 31 606
Oleg Kanakov Russia 12 171 1.4× 280 2.6× 17 0.2× 3 0.0× 57 0.8× 24 473
Julien Moukhtar France 9 279 2.3× 132 1.2× 52 0.7× 17 0.2× 157 2.3× 11 673
Gholamreza Jafari Iran 11 22 0.2× 197 1.9× 12 0.2× 2 0.0× 59 0.9× 48 478
Joseph D. Hart United States 11 39 0.3× 166 1.6× 157 2.0× 13 0.2× 17 0.3× 29 477
Vyacheslav Shatokhin Germany 9 371 3.0× 277 2.6× 134 1.7× 96 1.4× 58 0.9× 38 642
Aaron M. Hagerstrom United States 8 131 1.1× 442 4.2× 114 1.5× 3 0.0× 77 1.1× 25 1.2k
Denis Tolkunov United States 14 201 1.6× 49 0.5× 151 1.9× 3 0.0× 237 3.5× 24 694
Song-Ju Kim Japan 15 104 0.8× 72 0.7× 295 3.8× 13 0.2× 48 0.7× 58 667
Alexis Arnaudon United Kingdom 10 22 0.2× 78 0.7× 20 0.3× 11 0.2× 31 0.5× 31 256

Countries citing papers authored by Viola Folli

Since Specialization
Citations

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

Fields of papers citing papers by Viola Folli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viola Folli

This figure shows the co-authorship network connecting the top 25 collaborators of Viola Folli. A scholar is included among the top collaborators of Viola Folli 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 Viola Folli. Viola Folli 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.
Chiodo, Letizia, Alessandro Loppini, Qiang Liu, et al.. (2024). Biophysical modeling of the whole-cell dynamics of C. elegans motor and interneurons families. PLoS ONE. 19(3). e0298105–e0298105.
2.
Rocco, Martina Di, Serena Galosi, Viola Folli, et al.. (2023). Phenotypic Assessment of Pathogenic Variants in GNAO1 and Response to Caffeine in C. elegans Models of the Disease. Genes. 14(2). 319–319. 9 indexed citations
3.
Gosti, Giorgio, Edoardo Milanetti, Viola Folli, et al.. (2023). A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG. Neural Networks. 170. 72–93. 2 indexed citations
4.
Miotto, Mattia, Maria Rosito, Matteo Paoluzzi, et al.. (2023). Collective behavior and self-organization in neural rosette morphogenesis. Frontiers in Cell and Developmental Biology. 11. 1134091–1134091. 10 indexed citations
5.
Pannone, Luca, Valentina Muto, Francesca Nardecchia, et al.. (2023). The recurrent pathogenic Pro890Leu substitution in CLTC causes a generalized defect in synaptic transmission in Caenorhabditis elegans. Frontiers in Molecular Neuroscience. 16. 1170061–1170061.
6.
Rocco, Martina Di, Serena Galosi, Viola Folli, et al.. (2021). Caenorhabditis elegans provides an efficient drug screening platform for GNAO1 -related disorders and highlights the potential role of caffeine in controlling dyskinesia. Human Molecular Genetics. 31(6). 929–941. 26 indexed citations
7.
Rocco, Martina Di, Edoardo Milanetti, Luca Pannone, et al.. (2021). C. elegans-based chemosensation strategy for the early detection of cancer metabolites in urine samples. Scientific Reports. 11(1). 17133–17133. 15 indexed citations
8.
Folli, Viola, et al.. (2021). Microfluidic arena for high-throughput C. elegans calcium imaging experiments with multiple strain confinement. IRIS Research product catalog (Sapienza University of Rome). 112. 566–571.
9.
Loppini, Alessandro, et al.. (2020). AWC C. elegans neuron: a biological sensor model. 329–333. 3 indexed citations
10.
Loppini, Alessandro, et al.. (2019). Biophysical modeling of C. elegans neurons: Single ion currents and whole-cell dynamics of AWCon and RMD. PLoS ONE. 14(7). e0218738–e0218738. 26 indexed citations
11.
Folli, Viola, et al.. (2019). 自己無撞着Euclidランダム行列理論【JST・京大機械翻訳】. Journal of Physics A Mathematical and Theoretical. 52(46). 15. 1 indexed citations
12.
Milanetti, Edoardo, Giorgio Gosti, Luca De Flaviis, et al.. (2019). Investigation of the binding between olfactory receptors and odorant molecules in C. elegans organism. Biophysical Chemistry. 255. 106264–106264. 4 indexed citations
13.
Folli, Viola, Marco Leonetti, & Giancarlo Ruocco. (2017). On the Maximum Storage Capacity of the Hopfield Model. Frontiers in Computational Neuroscience. 10. 144–144. 28 indexed citations
14.
Folli, Viola, Giancarlo Ruocco, & Claudio Conti. (2015). Laser propulsion of nanobullets by adiabatic compression of surface plasmon polaritons. Scientific Reports. 5(1). 17652–17652. 2 indexed citations
15.
Folli, Viola, Neda Ghofraniha, Andrea Puglisi, Luca Leuzzi, & Claudio Conti. (2013). Time-resolved dynamics of granular matter by random laser emission. Scientific Reports. 3(1). 2251–2251. 16 indexed citations
16.
Ghofraniha, Neda, Silvia Gentilini, Viola Folli, E. DelRe, & Claudio Conti. (2012). Shock Waves in Disordered Media. Physical Review Letters. 109(24). 243902–243902. 37 indexed citations
17.
Folli, Viola, E. DelRe, & Claudio Conti. (2012). Beam Instabilities in the Scale-Free Regime. Physical Review Letters. 108(3). 33901–33901. 10 indexed citations
18.
Folli, Viola, Andrea Puglisi, Luca Leuzzi, & Claudio Conti. (2012). Shaken Granular Lasers. Physical Review Letters. 108(24). 248002–248002. 14 indexed citations
19.
Folli, Viola & Claudio Conti. (2011). Self-induced transparency and the Anderson localization of light. Optics Letters. 36(15). 2830–2830. 7 indexed citations
20.
Leuzzi, Luca, Claudio Conti, Viola Folli, Luca Angelani, & Giancarlo Ruocco. (2009). Phase Diagram and Complexity of Mode-Locked Lasers: From Order to Disorder. Physical Review Letters. 102(8). 83901–83901. 55 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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