Enrico Ferrea

587 total citations
16 papers, 428 citations indexed

About

Enrico Ferrea is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Enrico Ferrea has authored 16 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 11 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Enrico Ferrea's work include Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neural Engineering (7 papers). Enrico Ferrea is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neural Engineering (7 papers). Enrico Ferrea collaborates with scholars based in Italy, Germany and France. Enrico Ferrea's co-authors include Fabio Benfenati, Pietro Baldelli, Lucian Medrihan, Flavia Valtorta, Gabriele Lignani, Fabrizia Cesca, Davide Boido, Thierry Nieus, Francesco Paonessa and Alessandro Maccione and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Journal of Neurophysiology.

In The Last Decade

Enrico Ferrea

16 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
Enrico Ferrea Italy 10 308 160 154 55 49 16 428
Quynh-Anh Nguyen United States 10 268 0.9× 146 0.9× 118 0.8× 55 1.0× 18 0.4× 11 415
Ondřej Novák Czechia 8 276 0.9× 182 1.1× 175 1.1× 57 1.0× 18 0.4× 17 531
Juliette E. Cheyne New Zealand 12 320 1.0× 248 1.6× 244 1.6× 39 0.7× 62 1.3× 17 687
Eline van Hugte Netherlands 9 179 0.6× 175 1.1× 99 0.6× 35 0.6× 24 0.5× 11 424
Wenqin Hu China 6 490 1.6× 332 2.1× 222 1.4× 19 0.3× 25 0.5× 7 661
Javier Díez‐García Spain 12 466 1.5× 280 1.8× 152 1.0× 76 1.4× 27 0.6× 16 643
Gregorio L. Galiñanes Switzerland 10 289 0.9× 133 0.8× 188 1.2× 34 0.6× 26 0.5× 13 443
Anubhuti Goel United States 10 254 0.8× 158 1.0× 320 2.1× 36 0.7× 21 0.4× 12 550
John C. Curtis United Kingdom 12 313 1.0× 226 1.4× 340 2.2× 68 1.2× 43 0.9× 13 681
Sabrina Tazerart France 9 273 0.9× 166 1.0× 178 1.2× 46 0.8× 179 3.7× 10 528

Countries citing papers authored by Enrico Ferrea

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Ferrea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Ferrea

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

All Works

16 of 16 papers shown
1.
Ferrea, Enrico, et al.. (2024). Machine learning explains response variability of deep brain stimulation on Parkinson’s disease quality of life. npj Digital Medicine. 7(1). 269–269. 6 indexed citations
2.
Ferrea, Enrico, Pierre Morel, & Alexander Gail. (2022). BCImat: a Matlab-based framework for IntracorticalBrain-Computer Interfaces and their simulation with an artificialspiking neural network. The Journal of Open Source Software. 7(75). 3956–3956. 1 indexed citations
3.
Ferrea, Enrico, Jochen Franke, Pierre Morel, & Alexander Gail. (2022). Statistical determinants of visuomotor adaptation along different dimensions during naturalistic 3D reaches. Scientific Reports. 12(1). 10198–10198. 6 indexed citations
4.
Ferrea, Enrico, et al.. (2017). Implantable computer-controlled adaptive multielectrode positioning system. Journal of Neurophysiology. 119(4). 1471–1484. 4 indexed citations
5.
Valente, Pierluigi, Gabriele Lignani, Lucian Medrihan, et al.. (2016). Cell adhesion molecule L1 contributes to neuronal excitability regulating the function of voltage-gated Na+ channels. Journal of Cell Science. 129(9). 1878–1891. 26 indexed citations
6.
Cesca, Fabrizia, et al.. (2015). Functional Interaction between the Scaffold Protein Kidins220/ARMS and Neuronal Voltage-Gated Na+ Channels. Journal of Biological Chemistry. 290(29). 18045–18055. 12 indexed citations
7.
Morel, Pierre, Enrico Ferrea, Klaus‐Peter Hoffmann, et al.. (2015). Long-term decoding of movement force and direction with a wireless myoelectric implant. Journal of Neural Engineering. 13(1). 16002–16002. 26 indexed citations
8.
Medrihan, Lucian, Enrico Ferrea, Barbara Greco, Pietro Baldelli, & Fabio Benfenati. (2014). Asynchronous GABA Release Is a Key Determinant of Tonic Inhibition and Controls Neuronal Excitability: A Study in the Synapsin II−/−Mouse. Cerebral Cortex. 25(10). 3356–3368. 39 indexed citations
9.
Pozzi, Davide, Gabriele Lignani, Enrico Ferrea, et al.. (2013). REST/NRSF‐mediated intrinsic homeostasis protects neuronal networks from hyperexcitability. The EMBO Journal. 32(22). 2994–3007. 75 indexed citations
10.
Lignani, Gabriele, Enrico Ferrea, Francesco Difato, et al.. (2013). Long-term optical stimulation of channelrhodopsin-expressing neurons to study network plasticity. Frontiers in Molecular Neuroscience. 6. 22–22. 30 indexed citations
11.
Lignani, Gabriele, Andrea Raimondi, Enrico Ferrea, et al.. (2013). Epileptogenic Q555X SYN1 mutant triggers imbalances in release dynamics and short-term plasticity. Human Molecular Genetics. 22(11). 2186–2199. 51 indexed citations
12.
Maccione, Alessandro, Alessandro Simi, Thierry Nieus, et al.. (2013). Sensing and actuating electrophysiological activity on brain tissue and neuronal cultures with a high-density CMOS-MEA. 752–755. 8 indexed citations
13.
Toader, Oana, Nicola Forte, Marta Orlando, et al.. (2013). Dentate gyrus network dysfunctions precede the symptomatic phase in a genetic mouse model of seizures. Frontiers in Cellular Neuroscience. 7. 138–138. 18 indexed citations
14.
Ferrea, Enrico, Alessandro Maccione, Lucian Medrihan, et al.. (2012). Large-scale, high-resolution electrophysiological imaging of field potentials in brain slices with microelectronic multielectrode arrays. Frontiers in Neural Circuits. 6. 80–80. 73 indexed citations
15.
Boido, Davide, Pasqualina Farisello, Fabrizia Cesca, et al.. (2010). Cortico-hippocampal hyperexcitability in synapsin I/II/III knockout mice: age-dependency and response to the antiepileptic drug levetiracetam. Neuroscience. 171(1). 268–283. 52 indexed citations
16.
Felici, A, et al.. (1965). [Action of the blood coagulating fraction of the venom of Bothrops jararaca on herpes zoster, herpes simplex and varicella. First clinico-therapeutic experiences].. PubMed. 56(87). 3681–95. 1 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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