Daniele Catalucci

9.1k citations
86 papers · 5.5k indexed · 1 hit paper · h-index 33
Topics
MicroRNA in disease regulation (20 papers)Cardiac electrophysiology and arrhythmias (11 papers)Circular RNAs in diseases (11 papers)

In The Last Decade

Daniele Catalucci

84 papers receiving 5.4k citations

Hit Papers

Neutrophils promote Alzheimer's disease–like pathology an...20152026201820222015200400600

Peers

Daniele Catalucci
Comparison fields: 5 of 133
  • Molecular Biology 3.4k
  • Cancer Research 1.9k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Physiology 639
  • Surgery 541
Replace Andrea Caporali with:
Andrea Caporali United Kingdom
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Xu Gao China
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Citations per field
00.5×1.5×2.4×
Andrea Caporali · 1×
Citations per year

Countries citing papers authored by Daniele Catalucci

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Catalucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Catalucci

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Catalucci. A scholar is included among the top collaborators of Daniele Catalucci 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 Daniele Catalucci. Daniele Catalucci 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 1
2 0
3 3
4 3
5
Modulation of LTCC Pathways by a Melusin Mimetic Increases Ventricular Contractility During LPS-Induced Cardiomyopathy
4
6 14
7 16
8 8
9 18
10 137
11 4
12 97
13 117
14 118
15 50
16 272
17 165
18 447
19 73
20 32

About Daniele Catalucci

Daniele Catalucci is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 86 papers that have together received 5.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), Cardiac electrophysiology and arrhythmias (11 papers) and Circular RNAs in diseases (11 papers). The work is most often cited by research in Cancer Research (1.9k citations), Biological Psychiatry (148 citations) and Cardiology and Cardiovascular Medicine (1.3k citations). Daniele Catalucci has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gianluigi Condorelli, Michael V.G. Latronico, Johann Bauersachs, Thomas Thum, Leonardo Elia, Riccardo Contu, Ciro Indolfi, Manuela Quintavalle, Joan Heller Brown and Pierluigi Carullo. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.

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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