Massimo Barbierato

956 citations
28 papers · 731 · h-index 17

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 9
    • Viral-associated cancers and disorders 6

Massimo Barbierato

28 papers receiving 720 citations

Peers

Massimo Barbierato
Comparison fields: 5 of 95
  • Biological Psychiatry 64
  • Neurology 193
  • Developmental Neuroscience 60
  • Physiology 36
  • Pharmacology 97
Replace Malika Winfield with:
Malika Winfield United States
Manu Jatana United States
Simona Dedoni Italy
Massimiliano Legnaro Italy
Stephanie A. Cordonnier United States
Hung‐Ming Wu Taiwan
Junwei Zeng China
Juan Carlos Peña-Philippides United States
Krzysztof Kolmus Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Barbierato

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Barbierato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Barbierato, 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 Massimo Barbierato Line = papers co-authored together Massimo Barbierato 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 2014103
2 201593
3 201366
4 201862
5 200542
6 200835
7 201733
8 201932
9 201230
10 201530
11 200828
12 201222
13 200620
14 201720
15 201820
16 201719
17 200518
18 201312
19 200912
20 20217

About Massimo Barbierato

Massimo Barbierato is a scholar working on Neurology, Oncology, Epidemiology, Molecular Biology and Developmental Neuroscience, having authored 28 papers that have together received 731 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Viral-associated cancers and disorders (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Parvovirus B19 Infection Studies (3 papers), Cannabis and Cannabinoid Research (3 papers), Tryptophan and brain disorders (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Biological Psychiatry (64 citations), Neurology (193 citations), Developmental Neuroscience (60 citations), Physiology (36 citations) and Pharmacology (97 citations). Massimo Barbierato has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Stephen D. Skaper, Laura Facci, Pietro Giusti, Morena Zusso, Carla Argentini, Carla Marinelli, Salvatore Cuzzocrea, Luigi Chieco‐Bianchi, Giuseppe Bruschetta and Daniela Impellizzeri. Their work appears in journals such as Scientific Reports, Journal of Clinical Microbiology, Journal of Neuroinflammation, Molecular Neurobiology and PLoS ONE.

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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