Matteo E. Mangoni

6.4k citations
90 papers · 4.5k · h-index 34

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 65
    • Cardiac Arrhythmias and Treatments 16
    • Cardiac pacing and defibrillation studies 12
    • Cardiovascular Effects of Exercise 5
    • Heart rate and cardiovascular health 5
    • Ion channel regulation and function 44

Matteo E. Mangoni

85 papers receiving 4.4k citations

Peers

Matteo E. Mangoni
Comparison fields: 5 of 119
  • Cardiology and Cardiovascular Medicine 2.5k
  • Cellular and Molecular Neuroscience 1.3k
  • Sensory Systems 278
  • Molecular Biology 2.9k
  • Microbiology 223
Replace Thomas V. McDonald with:
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Citations per field
00.5×7.2×
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Citations per year

Countries citing papers authored by Matteo E. Mangoni

Since Specialization
Citations

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

Fields of papers citing papers by Matteo E. Mangoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008407
2 2003355
3 2004272
4 2006231
5 2010221
6 1993218
7 1996159
8 2004147
9 2001138
10 1994136
11 1996116
12 2011113
13 2013113
14 2015102
15 200993
16 201387
17 201384
18 200580
19 201676
20 200469

About Matteo E. Mangoni

Matteo E. Mangoni is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems and Physiology, having authored 90 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (65 papers), Ion channel regulation and function (44 papers), Neuroscience and Neural Engineering (16 papers), Cardiac Arrhythmias and Treatments (16 papers), Cardiac pacing and defibrillation studies (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Cardiovascular Effects of Exercise (5 papers) and Heart rate and cardiovascular health (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.5k citations), Cellular and Molecular Neuroscience (1.3k citations), Sensory Systems (278 citations), Molecular Biology (2.9k citations) and Microbiology (223 citations). Matteo E. Mangoni has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Joël Nargeot, Pietro Mesirca, Dario DiFrancesco, Brigitte Couette, Jörg Striessnig, Angelo G. Torrente, Emmanuel Bourinet, Laurine Marger, Gianmaria Maccaferri and Josef Platzer. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Proceedings of the National Academy of Sciences, The Journal of Physiology, Cardiovascular Research and Biophysical Journal.

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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