Matteo Spanetta

897 citations
28 papers · 651 · h-index 12

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 7
    • Neurological disorders and treatments 3
    • Long-Term Effects of COVID-19 2
    • Epilepsy research and treatment 8

Matteo Spanetta

28 papers receiving 648 citations

Peers

Matteo Spanetta
Comparison fields: 5 of 67
  • Neurology 200
  • Endocrine and Autonomic Systems 86
  • Experimental and Cognitive Psychology 132
  • Cognitive Neuroscience 151
  • Psychiatry and Mental health 93
Replace Giulia Carli with:
Giulia Carli Italy
Emmanuel During United States
Anniina Alakuijala Finland
David Gabelia Austria
L. Lacomblez France
Milagros Merino-Andreu Spain
Jennifer Zitser Israel
Pradeep C. Bollu United States
Maria Alessandria Italy
Mariantonietta Savarese Italy
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Citations per field
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Citations per year

Countries citing papers authored by Matteo Spanetta

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Spanetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matteo Spanetta, 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 Matteo Spanetta Line = papers co-authored together Matteo Spanetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020157
2 2020116
3 202068
4 202058
5 202141
6 201930
7 202018
8 202116
9 202113
10 202013
11 202112
12 202212
13 202012
14 202212
15 202310
16 20219
17 20218
18 20248
19 20238
20 20208

About Matteo Spanetta

Matteo Spanetta is a scholar working on Neurology, Psychiatry and Mental health, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Physiology, having authored 28 papers that have together received 651 indexed citations. Recurring topics across this work include Epilepsy research and treatment (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Sleep and Wakefulness Research (7 papers), Obstructive Sleep Apnea Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Neurological disorders and treatments (3 papers), Sleep and related disorders (3 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Neurology (200 citations), Endocrine and Autonomic Systems (86 citations), Experimental and Cognitive Psychology (132 citations), Cognitive Neuroscience (151 citations) and Psychiatry and Mental health (93 citations). Matteo Spanetta has collaborated with scholars based in Italy, Switzerland and Netherlands. Frequent co-authors include Claudio Liguori, Nicola Biagio Mercuri, Fabio Placidi, Francesca Izzi, Mariangela Pierantozzi, Enrica Bonanni, Biancamaria Guarnieri, Michelangelo Maestri, Alessandra Di Pucchio and Ermanno Puxeddu. Their work appears in journals such as Sleep Medicine, Neurological Sciences, Journal of Neural Transmission, Epilepsy & Behavior and Journal of Personalized Medicine.

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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