Michele Bellesi

4.0k citations
56 papers · 2.7k indexed · 1 hit paper · h-index 27
Topics
Sleep and Wakefulness Research (33 papers)Neuroscience and Neuropharmacology Research (20 papers)Neural dynamics and brain function (12 papers)

In The Last Decade

Michele Bellesi

54 papers receiving 2.7k citations

Hit Papers

Ultrastructural evidence for synaptic scaling across the ...20172026202020232017100200300

Peers

Michele Bellesi
Comparison fields: 5 of 121
  • Cognitive Neuroscience 1.7k
  • Cellular and Molecular Neuroscience 997
  • Experimental and Cognitive Psychology 661
  • Endocrine and Autonomic Systems 587
  • Neurology 424
Replace José R. Criado with:
José R. Criado United States
Jee Hoon Roh South Korea
Romain Goutagny France
Birendra Nath Mallick India
Jonathan P. Wisor United States
Radhika Basheer United States
M. Scott Bowers United States
Kebreten F. Manaye United States
Dmitry Gerashchenko United States
Raphaëlle Winsky‐Sommerer United Kingdom
Michele Bellesi relative to José R. Criado United States José R. Criado's profile →
Citations per field
00.5×10×13×
José R. Criado · 1×
Citations per year

Countries citing papers authored by Michele Bellesi

Since Specialization
Citations

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

Fields of papers citing papers by Michele Bellesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Bellesi

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Bellesi. A scholar is included among the top collaborators of Michele Bellesi 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 Michele Bellesi. Michele Bellesi 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 0
2 0
3 1
4 34
5 23
6 9
7 9
8 23
9 64
10 96
11 288
12 18
13 95
14 23
15 72
16 114
17 19
18 83
19 31
20 26

About Michele Bellesi

Michele Bellesi is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Microbiology, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (33 papers), Neuroscience and Neuropharmacology Research (20 papers) and Neural dynamics and brain function (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Endocrine and Autonomic Systems (587 citations) and Cellular and Molecular Neuroscience (997 citations). Michele Bellesi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giulio Tononi, Chiara Cirelli, Luisa de Vivo, William Marshall, Fiorenzo Conti, Brady A. Riedner, Mattia Chini, Mark H. Ellisman, Eric A. Bushong and Marcello Melone. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of 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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