Valentina Parisi

2.6k citations
78 papers · 1.4k indexed · h-index 25

Valentina Parisi

69 papers receiving 1.4k citations

Peers

Valentina Parisi
Comparison fields: 5 of 113
  • Cardiology and Cardiovascular Medicine 998
  • Surgery 294
  • Molecular Biology 197
  • Physiology 186
  • Epidemiology 166
Replace Enrica Golia with:
Enrica Golia Italy
George Latsios Greece
Taek‐Geun Kwon South Korea
Engin Bozkurt Türkiye
Vasiliki Panagopoulou Greece
Hyun Ju Yoon South Korea
Takumi Toya Japan
Kiran Bhagat United Kingdom
Andrea Salzano Italy
João D. Fontes United States
Valentina Parisi relative to Enrica Golia Italy Enrica Golia's profile →
Citations per field
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Enrica Golia · 1×
Citations per year

Countries citing papers authored by Valentina Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Parisi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 50
4 3
5 1
6 17
7 3
8 41
9 8
10 33
11
Cardiac visceral fat as anatomic substrate and functional trigger for the development of atrial fibrillation
1
12 2
13 24
14 90
15 12
16 42
17 2
18 24
19 10
20 70

About Valentina Parisi

Valentina Parisi is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Biological Psychiatry, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (16 papers), Atrial Fibrillation Management and Outcomes (15 papers) and Cardiac Arrhythmias and Treatments (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (998 citations), Internal Medicine (91 citations) and Complementary and alternative medicine (71 citations). Valentina Parisi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Dario Leosco, Laura Petraglia, Giuseppe Rengo, Pasquale Perrone Filardi, Nicola Ferrara, Emilio Attena, Grazia Daniela Femminella, Vincenzo Russo, Gennaro Pagano and Maddalena Conte. Their work appears in journals such as New England Journal of Medicine, Journal of the American College of Cardiology and PLoS ONE.

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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