Laura Perrotta

128 total papers · 2.1k total citations
69 papers, 1.5k citations indexed

About

Laura Perrotta is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery. According to data from OpenAlex, Laura Perrotta has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cardiology and Cardiovascular Medicine, 6 papers in Internal Medicine and 4 papers in Surgery. Recurrent topics in Laura Perrotta's work include Cardiac Arrhythmias and Treatments (50 papers), Atrial Fibrillation Management and Outcomes (43 papers) and Cardiac pacing and defibrillation studies (26 papers). Laura Perrotta is often cited by papers focused on Cardiac Arrhythmias and Treatments (50 papers), Atrial Fibrillation Management and Outcomes (43 papers) and Cardiac pacing and defibrillation studies (26 papers). Laura Perrotta collaborates with scholars based in Germany, Italy and Poland. Laura Perrotta's co-authors include Stefano Bordignon, K. R. Julian Chun, Boris Schmidt, Daniela Dugo, Alexander Fürnkranz, Fabrizio Bologna, Athanasios Konstantinou, Shaojie Chen, Bernd Nowak and Takahiko Nagase and has published in prestigious journals such as Journal of the American Chemical Society, International Journal of Sports Medicine and Heart Rhythm.

In The Last Decade

Laura Perrotta

64 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Laura Perrotta 1.3k 159 81 55 54 69 1.5k
Patrick Gladding 803 0.6× 75 0.5× 89 1.1× 26 0.5× 280 5.2× 67 1.1k
S. KENNETH PEHRSSON 652 0.5× 144 0.9× 68 0.8× 42 0.8× 235 4.4× 60 1.2k
Li Zhong 560 0.4× 77 0.5× 58 0.7× 28 0.5× 87 1.6× 56 1.3k
Christine S. Zuern 1.4k 1.0× 172 1.1× 97 1.2× 22 0.4× 463 8.6× 73 1.7k
Irina Savelieva 1.6k 1.2× 95 0.6× 87 1.1× 6 0.1× 124 2.3× 47 1.8k
Pirjo Mustonen 743 0.6× 199 1.3× 115 1.4× 13 0.2× 131 2.4× 86 1.4k
J C Cowan 1.0k 0.8× 32 0.2× 98 1.2× 12 0.2× 92 1.7× 45 1.2k
Joseph R. Benotti 733 0.6× 121 0.8× 77 1.0× 20 0.4× 194 3.6× 37 1.4k
Keiko Nakagawa 478 0.4× 83 0.5× 244 3.0× 35 0.6× 141 2.6× 70 1.1k
Daniel D. Gretler 1.1k 0.8× 388 2.4× 64 0.8× 90 1.6× 441 8.2× 43 1.6k

Countries citing papers authored by Laura Perrotta

Since Specialization
Citations

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

Fields of papers citing papers by Laura Perrotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Perrotta

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Perrotta. A scholar is included among the top collaborators of Laura Perrotta 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 Laura Perrotta. Laura Perrotta 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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