Mario Barbieri

1.7k citations
47 papers · 1.4k · h-index 17

Impact in

Papers in

Mario Barbieri

46 papers receiving 1.3k citations

Peers

Mario Barbieri
Comparison fields: 5 of 88
  • Sensory Systems 293
  • Cellular and Molecular Neuroscience 508
  • Toxicology 67
  • Cardiology and Cardiovascular Medicine 416
  • Physiology 272
Replace Suk Hyo Suh with:
Suk Hyo Suh South Korea
Edda Adler‐Graschinsky Argentina
Ari Koivisto Finland
Thomas Christoph Germany
Mircea Iftinca Canada
Donna M. Gauvin United States
Barbara Malinowska Poland
Péter Sántha Hungary
Hayato Matsuyama Japan
Mirjam Eberhardt Germany
Mario Barbieri relative to Suk Hyo Suh South Korea Suk Hyo Suh's profile →
Citations per field
00.5×1.5×2.5×
Suk Hyo Suh · 1×
Citations per year

Countries citing papers authored by Mario Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Mario Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002357
2 1994144
3 1996118
4 1994100
5 200366
6 199448
7 201643
8 199543
9 200243
10 201935
11 201835
12 200832
13 199430
14 200128
15 200925
16 200924
17 200520
18 202213
19 201313
20 201512

About Mario Barbieri

Mario Barbieri is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology and Pharmacology, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Cardiac electrophysiology and arrhythmias (9 papers), Ion channel regulation and function (8 papers), Receptor Mechanisms and Signaling (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuropeptides and Animal Physiology (6 papers), Neuroscience and Neural Engineering (5 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Sensory Systems (293 citations), Cellular and Molecular Neuroscience (508 citations), Toxicology (67 citations), Cardiology and Cardiovascular Medicine (416 citations) and Physiology (272 citations). Mario Barbieri has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alessandro Mugelli, Elisabetta Cerbai, Qi Li, Michele Simonato, Barbara Campi, Marcello Trevisani, Davina E. OWEN, S. Harrison, Michele Tognetto and Stephen Brough. Their work appears in journals such as British Journal of Pharmacology, Journal of Visualized Experiments, Pharmacological Research, Neuropharmacology 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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