Davide Silingardi

520 total citations
7 papers, 365 citations indexed

About

Davide Silingardi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Davide Silingardi has authored 7 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Davide Silingardi's work include Genetics and Neurodevelopmental Disorders (2 papers), Memory and Neural Mechanisms (1 paper) and Neural dynamics and brain function (1 paper). Davide Silingardi is often cited by papers focused on Genetics and Neurodevelopmental Disorders (2 papers), Memory and Neural Mechanisms (1 paper) and Neural dynamics and brain function (1 paper). Davide Silingardi collaborates with scholars based in Italy, United States and Switzerland. Davide Silingardi's co-authors include Tommaso Pizzorusso, Manuela Scali, Eleonora Calcagno, Elisabetta Ciani, Yang Zhan, Alexei L. Vyssotski, Giuseppina Lonetti, Cornelius T. Gross, Elena Amendola and Enrico Castroflorio and has published in prestigious journals such as Nature Communications, Nature Neuroscience and PLoS ONE.

In The Last Decade

Davide Silingardi

7 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Silingardi Italy 7 197 146 125 98 48 7 365
Ryunhee Kim South Korea 10 206 1.0× 146 1.0× 176 1.4× 130 1.3× 55 1.1× 11 423
Martijn Selten Netherlands 10 208 1.1× 96 0.7× 155 1.2× 111 1.1× 43 0.9× 13 391
Wangyong Shin South Korea 11 171 0.9× 165 1.1× 141 1.1× 163 1.7× 31 0.6× 17 374
Véronique Saywell France 7 214 1.1× 253 1.7× 97 0.8× 166 1.7× 44 0.9× 7 452
Yeonsoo Choi South Korea 8 197 1.0× 93 0.6× 165 1.3× 85 0.9× 40 0.8× 9 375
Carly F. Hale United States 6 213 1.1× 108 0.7× 240 1.9× 81 0.8× 64 1.3× 7 413
Hsiu‐Chun Chuang Taiwan 8 159 0.8× 137 0.9× 96 0.8× 135 1.4× 37 0.8× 10 359
Nuria Domıńguez-Iturza Belgium 8 198 1.0× 113 0.8× 141 1.1× 90 0.9× 47 1.0× 8 339
Giulia Zunino Italy 12 199 1.0× 186 1.3× 177 1.4× 209 2.1× 65 1.4× 16 452
Aram Raissi United States 6 150 0.8× 74 0.5× 130 1.0× 70 0.7× 37 0.8× 8 300

Countries citing papers authored by Davide Silingardi

Since Specialization
Citations

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

Fields of papers citing papers by Davide Silingardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Silingardi

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

All Works

7 of 7 papers shown
1.
Poli, Andrea, Aurelia Viglione, Raffaele Mazziotti, et al.. (2023). Selective Disruption of Perineuronal Nets in Mice Lacking Crtl1 is Sufficient to Make Fear Memories Susceptible to Erasure. Molecular Neurobiology. 60(7). 4105–4119. 10 indexed citations
2.
Mazziotti, Raffaele, Laura Baroncelli, Nicholas Ceglia, et al.. (2017). Mir-132/212 is required for maturation of binocular matching of orientation preference and depth perception. Nature Communications. 8(1). 15488–15488. 32 indexed citations
3.
Tognini, Paola, Debora Napoli, Davide Silingardi, et al.. (2015). Experience-dependent DNA methylation regulates plasticity in the developing visual cortex. Nature Neuroscience. 18(7). 956–958. 39 indexed citations
4.
Amendola, Elena, Yang Zhan, Enrico Castroflorio, et al.. (2014). Mapping Pathological Phenotypes in a Mouse Model of CDKL5 Disorder. PLoS ONE. 9(5). e91613–e91613. 150 indexed citations
5.
Silingardi, Davide, Roberto De Pasquale, Riccardo Brambilla, et al.. (2011). ERK Pathway Activation Bidirectionally Affects Visual Recognition Memory and Synaptic Plasticity in the Perirhinal Cortex. Frontiers in Behavioral Neuroscience. 5. 84–84. 38 indexed citations
6.
Giovannelli, Fabio, Davide Silingardi, Alessandra Borgheresi, et al.. (2010). Involvement of the parietal cortex in perceptual learning (Eureka effect): An interference approach using rTMS. Neuropsychologia. 48(6). 1807–1812. 15 indexed citations
7.
Silingardi, Davide, et al.. (2010). Epigenetic treatments of adult rats promote recovery from visual acuity deficits induced by long‐term monocular deprivation. European Journal of Neuroscience. 31(12). 2185–2192. 81 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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