Leonardo Sileo

1.3k citations
37 papers · 907 indexed · h-index 14
Topics
Neuroscience and Neural Engineering (26 papers)Photoreceptor and optogenetics research (23 papers)Molecular Communication and Nanonetworks (10 papers)

In The Last Decade

Leonardo Sileo

35 papers receiving 883 citations

Peers

Leonardo Sileo
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 604
  • Biomedical Engineering 409
  • Cognitive Neuroscience 243
  • Electrical and Electronic Engineering 144
  • Biophysics 109
Replace Barbara Spagnolo with:
Barbara Spagnolo Italy
Marco Pisanello Italy
Attila Kaszás Hungary
Ramin Pashaie United States
Emiliano Ronzitti France
Filippo Pisano Italy
Weijian Zong China
Runlong Wu China
Nairouz Farah Israel
Antonio Balena Italy
Leonardo Sileo relative to Barbara Spagnolo Italy Barbara Spagnolo's profile →
Citations per field
00.5×1.6×
Barbara Spagnolo · 1×
Citations per year

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
#WorkIndexed citations
1 6
2 3
3 42
4 15
5 6
6 9
7 1
8 103
9 27
10 13
11 11
12 32
13 51
14 134
15 37
16 51
17 29
18 148
19 21
20 1

About Leonardo Sileo

Leonardo Sileo is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cognitive Neuroscience, having authored 37 papers that have together received 907 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (26 papers), Photoreceptor and optogenetics research (23 papers) and Molecular Communication and Nanonetworks (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (604 citations), Biophysics (109 citations) and Acoustics and Ultrasonics (16 citations). Leonardo Sileo has collaborated with scholars based in Italy, United States and Germany. Frequent 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. Their work appears in journals such as Neuron, Nature Materials and Nature Neuroscience.

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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