Gian Michele Innocenti

27.0k citations
57 papers · 2.3k indexed · h-index 26

Gian Michele Innocenti

54 papers receiving 2.2k citations

Peers

Gian Michele Innocenti
Comparison fields: 5 of 109
  • Developmental Neuroscience 331
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 840
  • Neurology 345
  • Pediatrics, Perinatology and Child Health 368
Replace Giorgio M. Innocenti with:
Giorgio M. Innocenti Sweden
Antonella Antonini United States
James A. Bourne Australia
Douglas O. Frost United States
Jaime F. Olavarría United States
Paul Yarowsky United States
CJ Shatz United States
Ronald E. Kalil United States
Richard C. Van Sluyters United States
Ford F. Ebner United States
Gian Michele Innocenti relative to Giorgio M. Innocenti Sweden Giorgio M. Innocenti's profile →
Citations per field
00.5×1.6×
Giorgio M. Innocenti · 1×
Citations per year

Countries citing papers authored by Gian Michele Innocenti

Since Specialization
Citations

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

Fields of papers citing papers by Gian Michele Innocenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gian Michele Innocenti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gian Michele Innocenti Line = papers co-authored together Gian Michele Innocenti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20238
4 202018
5 201923
6 2003168
7 200275
8
Impaired integration of audition and vision in schizophrenics
19974
9 19972
10 199332
11 199248
12 199152
13 199117
14 199139
15 199020
16 19869
17 198356
18 198139
19 197232
20 19728

About Gian Michele Innocenti

Gian Michele Innocenti is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), High-Energy Particle Collisions Research (12 papers), Neuroscience and Neuropharmacology Research (12 papers), Particle physics theoretical and experimental studies (11 papers), Quantum Chromodynamics and Particle Interactions (10 papers), Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Neonatal and fetal brain pathology (7 papers). The work is most often cited by research in Developmental Neuroscience (331 citations), Cognitive Neuroscience (1.1k citations) and Cellular and Molecular Neuroscience (840 citations). Gian Michele Innocenti has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Douglas O. Frost, Stéphanie Clarke, Roberto Caminiti, H. Koppel, Pere Berbel, T Manzoni, François Ansermet, Josef Parnas, G. Spidalieri and D. C. Kiper. Their work appears in journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

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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