Francesco Difato

1.1k total citations
30 papers, 792 citations indexed

About

Francesco Difato is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Francesco Difato has authored 30 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 14 papers in Cellular and Molecular Neuroscience and 10 papers in Cell Biology. Recurrent topics in Francesco Difato's work include Neuroscience and Neural Engineering (11 papers), Cellular Mechanics and Interactions (8 papers) and 3D Printing in Biomedical Research (8 papers). Francesco Difato is often cited by papers focused on Neuroscience and Neural Engineering (11 papers), Cellular Mechanics and Interactions (8 papers) and 3D Printing in Biomedical Research (8 papers). Francesco Difato collaborates with scholars based in Italy, Czechia and Israel. Francesco Difato's co-authors include Evelina Chieregatti, Axel Blau, Fabio Benfenati, Dan Cojoc, Vincent Torre, Rajesh Shahapure, Enrico Ferrari, Jitka Forstová, Massimo Vassalli and Jummi Laishram and has published in prestigious journals such as Advanced Materials, Nature Communications and PLoS ONE.

In The Last Decade

Francesco Difato

30 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Difato Italy 17 362 186 185 178 158 30 792
Or A. Shemesh United States 10 343 0.9× 56 0.3× 111 0.6× 181 1.0× 167 1.1× 12 709
Veerle Reumers Belgium 19 401 1.1× 194 1.0× 62 0.3× 495 2.8× 59 0.4× 33 1.2k
Ruben Stepanyan United States 15 128 0.4× 170 0.9× 137 0.7× 519 2.9× 124 0.8× 28 1.3k
Jeffrey N. Stirman United States 15 499 1.4× 254 1.4× 62 0.3× 210 1.2× 211 1.3× 20 1.1k
Benjamin M. Gaub United States 14 656 1.8× 338 1.8× 344 1.9× 729 4.1× 91 0.6× 16 1.7k
Yuichi Sakumura Japan 15 240 0.7× 168 0.9× 301 1.6× 362 2.0× 41 0.3× 34 801
Heejin Choi United States 17 221 0.6× 352 1.9× 102 0.6× 647 3.6× 137 0.9× 39 1.5k
Marina Chicurel United States 16 363 1.0× 253 1.4× 519 2.8× 615 3.5× 203 1.3× 29 1.6k
Stephen G. Turney United States 12 393 1.1× 118 0.6× 275 1.5× 484 2.7× 66 0.4× 17 960
Ho‐Jun Suk United States 12 312 0.9× 397 2.1× 107 0.6× 940 5.3× 229 1.4× 14 2.3k

Countries citing papers authored by Francesco Difato

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Difato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Difato

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Difato. A scholar is included among the top collaborators of Francesco Difato 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 Francesco Difato. Francesco Difato 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.
Mastrangeli, Massimo, Francesco Difato, Andrea Armirotti, et al.. (2025). High‐Speed Raman Readout of Single Polypeptides via Plasmonic Nanopores. Advanced Materials. 37(39). e2504436–e2504436. 2 indexed citations
2.
Bornat, Yannick, Ilaria Colombi, Valentina Pasquale, et al.. (2019). A Neuromorphic Prosthesis to Restore Communication in Neuronal Networks. iScience. 19. 402–414. 57 indexed citations
3.
Boccaccio, Anna, Andrea Contestabile, Monica Moroni, et al.. (2018). Mechano-sensitization of mammalian neuronal networks through expression of the bacterial large-conductance mechanosensitive ion channel. Journal of Cell Science. 131(5). 18 indexed citations
4.
Palazzolo, Gemma, Monica Moroni, Giacomo Aletti, et al.. (2017). Fast wide-volume functional imaging of engineered in vitro brain tissues. Scientific Reports. 7(1). 8499–8499. 22 indexed citations
5.
Palazzolo, Gemma, et al.. (2017). Real-Time Identification of Cell Mechanical Properties. Biophysical Journal. 112(3). 435a–435a. 1 indexed citations
6.
Bisio, Marta, et al.. (2016). Modulation of Neural Network Activity through Single Cell Ablation: An in Vitro Model of Minimally Invasive Neurosurgery. Molecules. 21(8). 1018–1018. 6 indexed citations
7.
Palazzolo, Gemma, et al.. (2016). Laser Nano-Neurosurgery from Gentle Manipulation to Nano-Incision of Neuronal Cells and Scaffolds: An Advanced Neurotechnology Tool. Frontiers in Neuroscience. 10. 101–101. 5 indexed citations
8.
Fiore, Michele, Paola Gavazzo, Federica Viti, et al.. (2015). The biophysics of piezo1 and piezo2 mechanosensitive channels. Biophysical Chemistry. 208. 26–33. 25 indexed citations
9.
Žíla, Vojtěch, et al.. (2014). Involvement of Microtubular Network and Its Motors in Productive Endocytic Trafficking of Mouse Polyomavirus. PLoS ONE. 9(5). e96922–e96922. 23 indexed citations
10.
Difato, Francesco, et al.. (2013). Cell Signaling Experiments Driven by Optical Manipulation. International Journal of Molecular Sciences. 14(5). 8963–8984. 14 indexed citations
11.
Bonifazi, P., Francesco Difato, Paolo Massobrio, et al.. (2013). In vitro large-scale experimental and theoretical studies for the realization of bi-directional brain-prostheses. Frontiers in Neural Circuits. 7. 40–40. 61 indexed citations
12.
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
13.
Zanacchi, Francesca Cella, Zeno Lavagnino, Mattia Pesce, et al.. (2011). Two-photon fluorescence excitation within a light sheet based microscopy architecture. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7903. 79032W–79032W. 5 indexed citations
14.
Difato, Francesco, et al.. (2011). The formation of actin waves during regeneration after axonal lesion is enhanced by BDNF. Scientific Reports. 1(1). 183–183. 35 indexed citations
15.
Difato, Francesco, et al.. (2011). Integration of Optical Manipulation and Electrophysiological Tools to Modulate and Record Activity in Neural Networks. International Journal of Optomechatronics. 5(3). 191–216. 8 indexed citations
16.
Difato, Francesco, Marco Dal Maschio, Emanuele Marconi, et al.. (2011). Combined optical tweezers and laser dissector for controlled ablation of functional connections in neural networks. Journal of Biomedical Optics. 16(5). 1–1. 16 indexed citations
17.
Maschio, Marco Dal, Francesco Difato, Riccardo Beltramo, et al.. (2010). Simultaneous two-photon imaging and photo-stimulation with structured light illumination. Optics Express. 18(18). 18720–18720. 59 indexed citations
18.
Chernyavskiy, Oleksandr, et al.. (2009). Imaging of mouse experimental melanoma in vivo and ex vivo by combination of confocal and nonlinear microscopy. Microscopy Research and Technique. 72(6). 411–423. 13 indexed citations
19.
Žurmanová, Jitka, et al.. (2007). Creatine kinase binds more firmly to the M-band of rabbit skeletal muscle myofibrils in the presence of its substrates. Molecular and Cellular Biochemistry. 305(1-2). 55–61. 7 indexed citations
20.
Difato, Francesco, Silvia Scaglione, Marco Fato, et al.. (2004). Improvement in volume estimation from confocal sections after image deconvolution. Microscopy Research and Technique. 64(2). 151–155. 20 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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