Leonardo Sileo

1.3k total citations
37 papers, 907 citations indexed

About

Leonardo Sileo is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Leonardo Sileo has authored 37 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 17 papers in Biomedical Engineering and 9 papers in Cognitive Neuroscience. Recurrent topics in Leonardo Sileo's work include Neuroscience and Neural Engineering (26 papers), Photoreceptor and optogenetics research (23 papers) and Molecular Communication and Nanonetworks (10 papers). Leonardo Sileo is often cited by papers focused on Neuroscience and Neural Engineering (26 papers), Photoreceptor and optogenetics research (23 papers) and Molecular Communication and Nanonetworks (10 papers). Leonardo Sileo collaborates with scholars based in Italy, United States and Germany. Leonardo Sileo's co-authors include Massimo De Vittorio, Ferruccio Pisanello, Marco Pisanello, Bernardo L. Sabatini, Barbara Spagnolo, Ian Antón Oldenburg, Filippo Pisano, Luigi Martiradonna, John A. Assad and Antonio Qualtieri and has published in prestigious journals such as Neuron, Nature Materials and Nature Neuroscience.

In The Last Decade

Leonardo Sileo

35 papers receiving 883 citations

Peers

Leonardo Sileo
Leonardo Sileo
Citations per year, relative to Leonardo Sileo Leonardo Sileo (= 1×) peers Marco Pisanello

Countries citing papers authored by Leonardo Sileo

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Sileo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Sileo

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Sileo. A scholar is included among the top collaborators of Leonardo Sileo 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 Leonardo Sileo. Leonardo Sileo 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.
Pisano, Filippo, Elena Cid, Marco Pisanello, et al.. (2024). Vibrational fiber photometry: label-free and reporter-free minimally invasive Raman spectroscopy deep in the mouse brain. Nature Methods. 22(2). 371–379. 6 indexed citations
2.
Spagnolo, Barbara, Antonio Balena, Rui T. Peixoto, et al.. (2022). Tapered fibertrodes for optoelectrical neural interfacing in small brain volumes with reduced artefacts. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
3.
Spagnolo, Barbara, Antonio Balena, Rui T. Peixoto, et al.. (2022). Tapered fibertrodes for optoelectrical neural interfacing in small brain volumes with reduced artefacts. Nature Materials. 21(7). 826–835. 42 indexed citations
4.
Bianco, Marco, Antonio Balena, Marco Pisanello, et al.. (2020). Comparative study of autofluorescence in flat and tapered optical fibers towards application in depth-resolved fluorescence lifetime photometry in brain tissue. Biomedical Optics Express. 12(2). 993–993. 15 indexed citations
5.
Maglie, Emanuela, Marco Pisanello, Filippo Pisano, et al.. (2020). Ray tracing models for estimating light collection properties of microstructured tapered optical fibers for optical neural interfaces. Optics Letters. 45(14). 3856–3856. 6 indexed citations
6.
Pisano, Filippo, Antonio Balena, Marco Pisanello, et al.. (2020). High transmission from 2D periodic plasmonic finite arrays with sub-20 nm gaps realized with Ga focused ion beam milling. Nanotechnology. 31(43). 435301–435301. 9 indexed citations
7.
Pisano, Filippo, Marco Pisanello, Suk Joon Lee, et al.. (2020). Depth-Resolved Optical Monitoring of Neural Activity in Freely Moving Animals. Research Padua Archive (University of Padua). 9305. 1–4. 1 indexed citations
8.
Pisano, Filippo, Marco Pisanello, Suk Joon Lee, et al.. (2019). Depth-resolved fiber photometry with a single tapered optical fiber implant. Nature Methods. 16(11). 1185–1192. 103 indexed citations
9.
Pisano, Filippo, Marco Pisanello, Leonardo Sileo, et al.. (2018). Focused ion beam nanomachining of tapered optical fibers for patterned light delivery. Microelectronic Engineering. 195. 41–49. 27 indexed citations
10.
Lemma, Enrico Domenico, Filippo Pisano, Marco Pisanello, et al.. (2018). Laser micromachining of tapered optical fibers for spatially selective control of neural activity. Microelectronic Engineering. 192. 88–95. 13 indexed citations
11.
Pisanello, Marco, et al.. (2018). A Wireless Head-Mountable Device With Tapered Optical Fiber-Coupled Laser Diode for Light Delivery in Deep Brain Regions. IEEE Transactions on Biomedical Engineering. 66(7). 1996–2009. 11 indexed citations
12.
Sileo, Leonardo, Sebastian H. Bitzenhofer, Barbara Spagnolo, et al.. (2018). Tapered Fibers Combined With a Multi-Electrode Array for Optogenetics in Mouse Medial Prefrontal Cortex. Frontiers in Neuroscience. 12. 771–771. 32 indexed citations
13.
Pisanello, Marco, Filippo Pisano, Leonardo Sileo, et al.. (2018). Tailoring light delivery for optogenetics by modal demultiplexing in tapered optical fibers. Scientific Reports. 8(1). 4467–4467. 51 indexed citations
14.
Pisanello, Ferruccio, Gil Mandelbaum, Marco Pisanello, et al.. (2017). Dynamic illumination of spatially restricted or large brain volumes via a single tapered optical fiber. Nature Neuroscience. 20(8). 1180–1188. 134 indexed citations
15.
Pisanello, Ferruccio, Leonardo Sileo, & Massimo De Vittorio. (2016). Micro- and Nanotechnologies for Optical Neural Interfaces. Frontiers in Neuroscience. 10. 37 indexed citations
16.
Spagnolo, Barbara, Virgilio Brunetti, Godefroy Leménager, et al.. (2015). Three-dimensional cage-like microscaffolds for cell invasion studies. Scientific Reports. 5(1). 10531–10531. 51 indexed citations
17.
Pisanello, Marco, et al.. (2015). Modal demultiplexing properties of tapered and nanostructured optical fibers for in vivo optogenetic control of neural activity. Biomedical Optics Express. 6(10). 4014–4014. 29 indexed citations
18.
Pisanello, Ferruccio, Leonardo Sileo, Ian Antón Oldenburg, et al.. (2014). Multipoint-Emitting Optical Fibers for Spatially Addressable In Vivo Optogenetics. Neuron. 82(6). 1245–1254. 148 indexed citations
19.
Sileo, Leonardo, Ferruccio Pisanello, Alessandro Maccione, et al.. (2013). Electrical coupling of mammalian neurons to microelectrodes with 3D nanoprotrusions. Microelectronic Engineering. 111. 384–390. 21 indexed citations
20.
Pisanello, Ferruccio, Luigi Martiradonna, Leonardo Sileo, et al.. (2013). Highly luminescent, flexible and biocompatible cadmium-based nanocomposites. Microelectronic Engineering. 111. 299–303. 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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