Simone Musco

17 total papers · 874 total citations
15 papers, 677 citations indexed

About

Simone Musco is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Simone Musco has authored 15 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Simone Musco's work include Cardiac electrophysiology and arrhythmias (6 papers), Cardiac Arrhythmias and Treatments (6 papers) and Atrial Fibrillation Management and Outcomes (5 papers). Simone Musco is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Cardiac Arrhythmias and Treatments (6 papers) and Atrial Fibrillation Management and Outcomes (5 papers). Simone Musco collaborates with scholars based in United States and Italy. Simone Musco's co-authors include Gan‐Xin Yan, James Burke, Peter R. Kowey, Ramarao S. Lankipalli, Sebastiano Cavallaro, Н. А. Лисицын, Pier Luigi Canonico, Salvatore Travali, Éva Forgács and Velia D’Agata and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of the American College of Cardiology.

In The Last Decade

Simone Musco

15 papers receiving 657 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Simone Musco 386 237 191 76 67 15 677
Nicoletta Savalli 548 1.4× 222 0.9× 287 1.5× 60 0.8× 41 0.6× 23 659
Andrea Ahles 396 1.0× 150 0.6× 155 0.8× 50 0.7× 140 2.1× 12 628
Steven C. Wu 513 1.3× 255 1.1× 93 0.5× 93 1.2× 33 0.5× 15 763
George Vaniotis 463 1.2× 134 0.6× 180 0.9× 38 0.5× 26 0.4× 12 614
Sandra Mammarella 565 1.5× 110 0.5× 237 1.2× 79 1.0× 50 0.7× 21 793
Phi Wiegn 216 0.6× 158 0.7× 229 1.2× 67 0.9× 33 0.5× 9 553
Alan T. Tang 166 0.4× 119 0.5× 64 0.3× 64 0.8× 37 0.6× 20 678
Jonathan Neumann 445 1.2× 96 0.4× 70 0.4× 36 0.5× 40 0.6× 14 649
Ekaterina Posokhova 620 1.6× 97 0.4× 273 1.4× 47 0.6× 33 0.5× 16 760
Mitsuru Horiba 439 1.1× 245 1.0× 92 0.5× 72 0.9× 99 1.5× 18 752

Countries citing papers authored by Simone Musco

Since Specialization
Citations

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

Fields of papers citing papers by Simone Musco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Musco

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Musco. A scholar is included among the top collaborators of Simone Musco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simone Musco. Simone Musco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026