Raffaele Coppini

4.7k citations
107 papers · 3.7k · h-index 38

Impact in

Papers in

Raffaele Coppini

102 papers receiving 3.6k citations

Peers

Raffaele Coppini
Comparison fields: 5 of 124
  • Cardiology and Cardiovascular Medicine 2.4k
  • Cellular and Molecular Neuroscience 441
  • Developmental Neuroscience 72
  • Molecular Biology 1.1k
  • Endocrinology, Diabetes and Metabolism 214
Replace Wenjun Xie with:
Wenjun Xie China
Nazish Sayed United States
Anthony J. Baker United States
Torsten Christ Germany
Wendy Keung Hong Kong
Gonzalo Pizarro Spain
Leonid V. Zingman United States
Kazuo Yamada Japan
Lianguo Wang United States
Norman R. Alpert United States
Raffaele Coppini relative to Wenjun Xie China Wenjun Xie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raffaele Coppini

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Coppini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012347
2 2014138
3 2017137
4 2016125
5 2015122
6 2018111
7 2020110
8 2015102
9 201694
10 201785
11 201784
12 201278
13 201274
14 201470
15 201770
16 201970
17 201768
18 201866
19 201964
20 201860

About Raffaele Coppini

Raffaele Coppini is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Biophysics and Cognitive Neuroscience, having authored 107 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (52 papers), Cardiac electrophysiology and arrhythmias (34 papers), Cardiovascular Effects of Exercise (17 papers), Neuroscience and Neural Engineering (15 papers), Ion channel regulation and function (13 papers), Cardiovascular Function and Risk Factors (10 papers), Viral Infections and Immunology Research (9 papers) and Muscle Physiology and Disorders (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.4k citations), Cellular and Molecular Neuroscience (441 citations), Developmental Neuroscience (72 citations), Molecular Biology (1.1k citations) and Endocrinology, Diabetes and Metabolism (214 citations). Raffaele Coppini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Elisabetta Cerbai, Cecilia Ferrantini, Corrado Poggesi, Iacopo Olivotto, Alessandro Mugelli, Chiara Tesi, Leonardo Sacconi, Lorenzo Santini, Francesco Saverio Pavone and Franco Cecchi. Their work appears in journals such as Biophysical Journal, Cardiovascular Research, Frontiers in Physiology, Pharmacological Research and International Journal of Cardiology.

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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