Daniele Catalucci
- Cancer Research top 0.5%
- MicroRNA in disease regulation 20
- Cancer-related molecular mechanisms research 7
- Biological Psychiatry top 2%
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- Cardiac electrophysiology and arrhythmias 11
- Cardiomyopathy and Myosin Studies 9
- Molecular Biology top 2%
- Circular RNAs in diseases 11
- Ion channel regulation and function 8
- Signaling Pathways in Disease 7
- Neurology top 2%
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- Inhalation and Respiratory Drug Delivery 9
- Co-authors
- Gianluigi CondorelliMichael V.G. LatronicoJohann BauersachsThomas ThumLeonardo EliaRiccardo ContuCiro IndolfiManuela Quintavalle
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniele Catalucci
84 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 1.9k
- Biological Psychiatry 148
- Cardiology and Cardiovascular Medicine 1.3k
- Molecular Biology 3.4k
- Neurology 390
Countries citing papers authored by Daniele Catalucci
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
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
The 25 scholars most cited alongside Daniele Catalucci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 3 | |
| 5 | Modulation of LTCC Pathways by a Melusin Mimetic Increases Ventricular Contractility During LPS-Induced Cardiomyopathy | 2022 | 4 |
| 6 | 2021 | 14 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 137 | |
| 11 | 2016 | 4 | |
| 12 | 2014 | 97 | |
| 13 | 2014 | 117 | |
| 14 | 2012 | 118 | |
| 15 | 2012 | 50 | |
| 16 | 2010 | 272 | |
| 17 | 2009 | 165 | |
| 18 | 2009 | 447 | |
| 19 | 2007 | 73 | |
| 20 | 2007 | 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), Circular RNAs in diseases (11 papers), Cardiomyopathy and Myosin Studies (9 papers), Inhalation and Respiratory Drug Delivery (9 papers), Ion channel regulation and function (8 papers), Cancer-related molecular mechanisms research (7 papers) and Signaling Pathways in Disease (7 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.