Alice Bertero

1.1k total citations
21 papers, 738 citations indexed

About

Alice Bertero is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alice Bertero has authored 21 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cognitive Neuroscience and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alice Bertero's work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Functional Brain Connectivity Studies (4 papers). Alice Bertero is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Functional Brain Connectivity Studies (4 papers). Alice Bertero collaborates with scholars based in Italy, United States and Belgium. Alice Bertero's co-authors include Massimo Pasqualetti, Mariacristina Gagliardi, Alessandro Gozzi, Alberto Galbusera, Giuseppe Bardi, Noemi Barsotti, María Luisa Scattoni, Angelo Bifone, Adam Liska and Marco Pagani and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Alice Bertero

21 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alice Bertero Italy 13 338 233 170 151 78 21 738
Akira Sumiyoshi Japan 18 324 1.0× 140 0.6× 243 1.4× 36 0.2× 56 0.7× 64 942
Francesco Tamagnini United Kingdom 18 174 0.5× 260 1.1× 272 1.6× 36 0.2× 57 0.7× 35 862
Mitul Desai United States 8 367 1.1× 183 0.8× 281 1.7× 116 0.8× 14 0.2× 8 674
Kyle A. Meyer United States 7 104 0.3× 322 1.4× 76 0.4× 83 0.5× 27 0.3× 9 728
Alessio Travaglia United States 19 385 1.1× 262 1.1× 540 3.2× 72 0.5× 107 1.4× 30 1.2k
Houshang Amiri Iran 18 120 0.4× 150 0.6× 128 0.8× 45 0.3× 191 2.4× 36 943
Antonella Ferrante Italy 21 113 0.3× 387 1.7× 255 1.5× 110 0.7× 26 0.3× 46 1.0k
Nikolay Medvedev United Kingdom 18 199 0.6× 319 1.4× 470 2.8× 68 0.5× 52 0.7× 29 1.1k

Countries citing papers authored by Alice Bertero

Since Specialization
Citations

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

Fields of papers citing papers by Alice Bertero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alice Bertero

This figure shows the co-authorship network connecting the top 25 collaborators of Alice Bertero. A scholar is included among the top collaborators of Alice Bertero 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 Alice Bertero. Alice Bertero 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.
Bertero, Alice & Alfonso junior Apicella. (2024). Distinct electrophysiological properties of long‐range GABAergic and glutamatergic neurons from the lateral amygdala to the auditory cortex of the mouse. The Journal of Physiology. 602(8). 1733–1757. 2 indexed citations
2.
Bertero, Alice, et al.. (2022). A Novel Layer 4 Corticofugal Cell Type/Projection Involved in Thalamo-Cortico-Striatal Sensory Processing. Journal of Neuroscience. 42(8). 1383–1405. 4 indexed citations
3.
Bertero, Alice, et al.. (2021). Corticofugal VIP Gabaergic Projection Neurons in the Mouse Auditory and Motor Cortex. Frontiers in Neural Circuits. 15. 714780–714780. 7 indexed citations
4.
Pagani, Marco, Noemi Barsotti, Alice Bertero, et al.. (2021). mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity. Nature Communications. 12(1). 6084–6084. 89 indexed citations
5.
Bertero, Alice, et al.. (2020). Auditory Long-Range Parvalbumin Cortico-Striatal Neurons. Frontiers in Neural Circuits. 14. 45–45. 14 indexed citations
6.
Pagani, Marco, Alice Bertero, Adam Liska, et al.. (2019). Deletion of Autism Risk Gene Shank3 Disrupts Prefrontal Connectivity. Journal of Neuroscience. 39(27). 5299–5310. 80 indexed citations
7.
Bertero, Alice, Paul Feyen, Hector Zurita, & Alfonso junior Apicella. (2019). A Non-Canonical Cortico-Amygdala Inhibitory Loop. Journal of Neuroscience. 39(43). 8424–8438. 19 indexed citations
8.
Cavaccini, Anna, Marta Gritti, Andrea U. De Giorgi, et al.. (2018). Serotonergic Signaling Controls Input-Specific Synaptic Plasticity at Striatal Circuits. Neuron. 98(4). 801–816.e7. 39 indexed citations
9.
Bertero, Alice, Adam Liska, Marco Pagani, et al.. (2018). Autism-associated 16p11.2 microdeletion impairs prefrontal functional connectivity in mouse and human. Brain. 141(7). 2055–2065. 74 indexed citations
10.
Gagliardi, Mariacristina, Alice Bertero, & Angelo Bifone. (2017). Molecularly Imprinted Biodegradable Nanoparticles. Scientific Reports. 7(1). 40046–40046. 38 indexed citations
11.
Maddaloni, Giacomo, Alice Bertero, Marta Pratelli, et al.. (2017). Development of Serotonergic Fibers in the Post-Natal Mouse Brain. Frontiers in Cellular Neuroscience. 11. 202–202. 52 indexed citations
12.
Bellani, Serena, Paolo Roncon, Fabrizia Claudia Guarnieri, et al.. (2017). eIF4B phosphorylation at Ser504 links synaptic activity with protein translation in physiology and pathology. Scientific Reports. 7(1). 10563–10563. 16 indexed citations
13.
Bardi, Giuseppe, Alice Bertero, Valentina Cappello, et al.. (2015). Design and optimization of lipid-modified poly(amidoamine) dendrimer coated iron oxide nanoparticles as probes for biomedical applications. Nanoscale. 7(16). 7307–7317. 11 indexed citations
14.
Gagliardi, Mariacristina, Alice Bertero, Giuseppe Bardi, & Angelo Bifone. (2015). A poly(ether-ester) copolymer for the preparation of nanocarriers with improved degradation and drug delivery kinetics. Materials Science and Engineering C. 59. 488–499. 6 indexed citations
15.
Sforazzini, Francesco, Alice Bertero, Luca Dodero, et al.. (2014). Altered functional connectivity networks in acallosal and socially impaired BTBR mice. Brain Structure and Function. 221(2). 941–954. 77 indexed citations
16.
Bertero, Alice, Maria Ada Malvindi, Stefania Sabella, et al.. (2014). Detection of Fluorescent Nanoparticle Interactions with Primary Immune Cell Subpopulations by Flow Cytometry. Journal of Visualized Experiments. 9 indexed citations
17.
Bertero, Alice, et al.. (2014). Biomedical Nanoparticles: Overview of Their Surface Immune-Compatibility. Coatings. 4(1). 139–159. 90 indexed citations
18.
Bertero, Alice, Maria Ada Malvindi, Stefania Sabella, et al.. (2014). Detection of Fluorescent Nanoparticle Interactions with Primary Immune Cell Subpopulations by Flow Cytometry. Journal of Visualized Experiments. 3 indexed citations
19.
Gemmi, Mauro, Claudia Innocenti, Giuseppe Bardi, et al.. (2014). Lipid-modified dendrimers as a tool for the design of nanoparticle-based multimodal MRI contrast agents. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8955. 895502–895502. 1 indexed citations
20.

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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