Rosa Coppolecchia

1.1k total citations · 1 hit paper
5 papers, 525 citations indexed

About

Rosa Coppolecchia is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology and Internal Medicine. According to data from OpenAlex, Rosa Coppolecchia has authored 5 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in Pharmacology and 2 papers in Internal Medicine. Recurrent topics in Rosa Coppolecchia's work include Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Rosa Coppolecchia is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Rosa Coppolecchia collaborates with scholars based in United States, Germany and Italy. Rosa Coppolecchia's co-authors include Michał Tendera, Peter M. Rothwell, George Howard, Philip B. Gorelick, J. Michael Gaziano, Luís M. Ruilope, Gianni Tognoni, Thomas A. Pearson, Carlos Brotons and Claudio Cricelli and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Rosa Coppolecchia

4 papers receiving 509 citations

Hit Papers

Use of aspirin to reduce risk of initial vascular events ... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Rosa Coppolecchia
Comparison fields: 5 of 64
  • Cardiology and Cardiovascular Medicine 382
  • Surgery 183
  • Pharmacology 121
  • Endocrinology, Diabetes and Metabolism 79
  • Internal Medicine 67
Replace Willy Weng with:
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Citations per field, relative to Rosa Coppolecchia
Rosa Coppolecchia · 1×
Citations per year, relative to Rosa Coppolecchia
Rosa Coppolecchia · 1×

Countries citing papers authored by Rosa Coppolecchia

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Coppolecchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Coppolecchia

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Coppolecchia. A scholar is included among the top collaborators of Rosa Coppolecchia 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 Rosa Coppolecchia. Rosa Coppolecchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 4
2 0
3
Use of aspirin to reduce risk of initial vascular events in patients at moderate risk of cardiovascular disease (ARRIVE): a randomised, double-blind, placebo-controlled trial breakdown →
515
4 2
5 4

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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