Chiara Marrone

1.0k citations
26 papers · 392 · h-index 9

Impact in

Papers in

Chiara Marrone

25 papers receiving 384 citations

Peers

Chiara Marrone
Comparison fields: 5 of 52
  • Cardiology and Cardiovascular Medicine 108
  • Epidemiology 142
  • Pulmonary and Respiratory Medicine 55
  • Developmental Neuroscience 7
  • Radiology, Nuclear Medicine and Imaging 37
Replace Carlos Ferreiro with:
Carlos Ferreiro Brazil
Haiqiang Qin China
Elias Rawish Germany
Xuewei Xie China
Muhammad Asrar ul Haq Australia
Saurav Chopra United States
Chiu-Fen Yang Taiwan
Valentino Ducceschi Italy
Ioannis Paizis Greece
Peter Skarsgard Canada
Chiara Marrone relative to Carlos Ferreiro Brazil Carlos Ferreiro's profile →
Citations per field
00.5×2.7×
Carlos Ferreiro · 1×
Citations per year

Countries citing papers authored by Chiara Marrone

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Marrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005110
2 200981
3 201051
4 200838
5 200733
6 202211
7 199911
8 202010
9 20178
10 20245
11 20215
12 20154
13 20214
14 20214
15 20202
16 20212
17 20092
18 20212
19 20202
20 20222

About Chiara Marrone

Chiara Marrone is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 26 papers that have together received 392 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (13 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Cardiovascular and Diving-Related Complications (2 papers), Tracheal and airway disorders (2 papers) and Congenital Diaphragmatic Hernia Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (108 citations), Epidemiology (142 citations), Pulmonary and Respiratory Medicine (55 citations), Developmental Neuroscience (7 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Chiara Marrone has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Junichi Sadoshima, Carmine Morisco, Giuseppe Santoro, Valentina Trimarco, Bruno Trimarco, Gianluigi Condorelli, Alessandro Bellis, Gerolama Condorelli, Maria Teresa Palladino and Raffaele Calabrò. Their work appears in journals such as International Journal of Cardiology, Cardiovascular Research, Journal of Personalized Medicine, Interactive Cardiovascular and Thoracic Surgery and International journal of cardiac imaging.

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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