Diego Ghezzi

4.1k total citations
71 papers, 2.8k citations indexed

About

Diego Ghezzi is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Diego Ghezzi has authored 71 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Cellular and Molecular Neuroscience, 29 papers in Electrical and Electronic Engineering and 17 papers in Biomedical Engineering. Recurrent topics in Diego Ghezzi's work include Neuroscience and Neural Engineering (57 papers), Photoreceptor and optogenetics research (29 papers) and Advanced Memory and Neural Computing (22 papers). Diego Ghezzi is often cited by papers focused on Neuroscience and Neural Engineering (57 papers), Photoreceptor and optogenetics research (29 papers) and Advanced Memory and Neural Computing (22 papers). Diego Ghezzi collaborates with scholars based in Switzerland, Italy and United States. Diego Ghezzi's co-authors include Fabio Benfenati, Maria Rosa Antognazza, Guglielmo Lanzani, Marta Jole Ildelfonsa Airaghi Leccardi, Nicola Martino, Naïg Aurélia Ludmilla Chenais, Erica Lanzarini, Marco Dal Maschio, Valter Tucci and Paola Vagni and has published in prestigious journals such as Advanced Materials, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Diego Ghezzi

69 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Ghezzi Switzerland 29 1.8k 877 729 601 513 71 2.8k
Isaac Kauvar United States 15 1.2k 0.7× 637 0.7× 252 0.3× 1.2k 1.9× 454 0.9× 18 3.0k
Daejong Jeon South Korea 31 814 0.4× 464 0.5× 1.3k 1.8× 1.0k 1.7× 523 1.0× 63 3.9k
Jennifer N. Gelinas United States 23 2.1k 1.1× 929 1.1× 819 1.1× 1.4k 2.4× 907 1.8× 51 3.4k
Jordan G. McCall United States 26 2.1k 1.2× 252 0.3× 769 1.1× 875 1.5× 118 0.2× 52 3.4k
Yang Zhan China 23 647 0.4× 205 0.2× 539 0.7× 950 1.6× 181 0.4× 80 2.9k
Xiaobin He China 24 673 0.4× 594 0.7× 323 0.4× 616 1.0× 82 0.2× 90 2.1k
Edward L. White United States 37 2.4k 1.3× 744 0.8× 1.7k 2.4× 2.6k 4.3× 245 0.5× 75 5.0k
Pascale Quilichini France 18 1.4k 0.8× 755 0.9× 676 0.9× 1.2k 2.0× 878 1.7× 31 2.8k
John W. Morley Australia 34 1.9k 1.0× 822 0.9× 583 0.8× 1.4k 2.3× 87 0.2× 164 4.2k
Jidong Guo United States 29 573 0.3× 454 0.5× 204 0.3× 330 0.5× 257 0.5× 63 2.5k

Countries citing papers authored by Diego Ghezzi

Since Specialization
Citations

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

Fields of papers citing papers by Diego Ghezzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Ghezzi

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Ghezzi. A scholar is included among the top collaborators of Diego Ghezzi 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 Diego Ghezzi. Diego Ghezzi 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.
Nguyen, Diep, Julie Dégardin, P. Bergonzo, et al.. (2024). In vivo recording of visually evoked potentials with novel full diamond ECoG implants. Diamond and Related Materials. 148. 111335–111335.
2.
Authié, Colas, et al.. (2024). Wide-angle simulated artificial vision enhances spatial navigation and object interaction in a naturalistic environment. Journal of Neural Engineering. 21(6). 66005–66005. 1 indexed citations
3.
Ghezzi, Diego. (2023). The role of the visual field size in artificial vision. Journal of Neural Engineering. 20(2). 23001–23001. 9 indexed citations
4.
Ghezzi, Diego. (2023). Engineering Materials for Neurotechnology. Advanced Engineering Materials. 25(9). 2 indexed citations
5.
Chenais, Naïg Aurélia Ludmilla, et al.. (2022). Virtual reality validation of naturalistic modulation strategies to counteract fading in retinal stimulation. Journal of Neural Engineering. 19(2). 26016–26016. 7 indexed citations
6.
Vagni, Paola, et al.. (2022). POLYRETINA restores light responses in vivo in blind Göttingen minipigs. Nature Communications. 13(1). 3678–3678. 40 indexed citations
7.
Chenais, Naïg Aurélia Ludmilla, Marta Jole Ildelfonsa Airaghi Leccardi, & Diego Ghezzi. (2021). Photovoltaic retinal prosthesis restores high-resolution responses to single-pixel stimulation in blind retinas. Communications Materials. 2(1). 76 indexed citations
8.
Ghezzi, Diego, et al.. (2021). Three-dimensional concentric bipolar electrodes for high resolution optic nerve stimulation. Investigative Ophthalmology & Visual Science. 62(8). 3221–3221. 1 indexed citations
9.
Chenais, Naïg Aurélia Ludmilla, et al.. (2021). Epiretinal photovoltaic prosthesis with high pixel density. Investigative Ophthalmology & Visual Science. 62(8). 3229–3229. 1 indexed citations
10.
Ghezzi, Diego, et al.. (2021). Transient electronics: new opportunities for implantable neurotechnology. Current Opinion in Biotechnology. 72. 22–28. 28 indexed citations
11.
Ghezzi, Diego, et al.. (2020). Virtual reality simulation of epiretinal stimulation highlights the relevance of the visual angle in prosthetic vision. Journal of Neural Engineering. 17(5). 56019–56019. 19 indexed citations
12.
Vagni, Paola, Naïg Aurélia Ludmilla Chenais, Martina Parrini, et al.. (2019). Gene Editing Preserves Visual Functions in a Mouse Model of Retinal Degeneration. Frontiers in Neuroscience. 13. 945–945. 33 indexed citations
13.
Cutrone, Annarita, Fiorenzo Artoni, Paola Vagni, et al.. (2019). Spatially selective activation of the visual cortex via intraneural stimulation of the optic nerve. Nature Biomedical Engineering. 4(2). 181–194. 56 indexed citations
14.
Rattay, Frank, et al.. (2018). Upper stimulation threshold for retinal ganglion cell activation. Journal of Neural Engineering. 15(4). 46012–46012. 17 indexed citations
15.
Parrini, Martina, Diego Ghezzi, Gabriele Deidda, et al.. (2017). Aerobic exercise and a BDNF-mimetic therapy rescue learning and memory in a mouse model of Down syndrome. Scientific Reports. 7(1). 16825–16825. 58 indexed citations
16.
Szczurkowska, Joanna, Andrzej Cwetsch, Marco Dal Maschio, et al.. (2016). Targeted in vivo genetic manipulation of the mouse or rat brain by in utero electroporation with a triple-electrode probe. Nature Protocols. 11(3). 399–412. 61 indexed citations
17.
Ghezzi, Diego. (2015). Retinal prostheses: progress toward the next generation implants. Frontiers in Neuroscience. 9. 290–290. 69 indexed citations
18.
Martino, Nicola, Diego Ghezzi, F. Benfenati, Guglielmo Lanzani, & Maria Rosa Antognazza. (2013). Organic semiconductors for artificial vision. Journal of Materials Chemistry B. 1(31). 3768–3768. 87 indexed citations
19.
Contestabile, Andrea, Barbara Greco, Diego Ghezzi, et al.. (2012). Lithium rescues synaptic plasticity and memory in Down syndrome mice. Journal of Clinical Investigation. 123(1). 348–361. 129 indexed citations
20.
Iurilli, Giuliano, Diego Ghezzi, Umberto Olcese, et al.. (2012). Sound-Driven Synaptic Inhibition in Primary Visual Cortex. Neuron. 73(4). 814–828. 257 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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