Daniela Mazzà
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiomyopathy and Myosin Studies
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- Hedgehog Signaling Pathway Studies
- Ion channel regulation and function
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Ubiquitin and proteasome pathways 2
- Hedgehog Signaling Pathway Studies 2
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
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- IoT and Edge/Fog Computing 5
- Co-authors
- Daniele Tarchi (6 shared papers)Giovanni Emanuele Corazza (5 shared papers)Lucia Di Marcotullio (4 shared papers)Enrico De Smaele (3 shared papers)Alberto Gulino (3 shared papers)Azzura Greco (3 shared papers)Elisabetta Ferretti (2 shared papers)Paola Infante (2 shared papers)
- Journals
- Biomedicines (1 paper)Cell Death and Differentiation (1 paper)Circulation (1 paper)Oncogene (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Daniela Mazzà
16 papers receiving 616 citations
Daniela Mazzà's Hit Papers
Peers
Comparison fields: 5 of 87
- Cardiology and Cardiovascular Medicine 193
- Molecular Biology 329
- Computer Networks and Communications 99
- Sensory Systems 17
- Oncology 62
Countries citing papers authored by Daniela Mazzà
This map shows the geographic impact of Daniela Mazzà'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 Daniela Mazzà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Mazzà more than expected).
Fields of papers citing papers by Daniela Mazzà
This network shows the impact of papers produced by Daniela Mazzà. 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 Daniela Mazzà. The network helps show where Daniela Mazzà may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Mazzà, 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 | An International, Multicentered, Evidence-Based Reappraisal of Genes Reported to Cause Congenital Long QT Syndrome Hit paper breakdown → | 2020 | 216 |
| 2 | 2010 | 97 | |
| 3 | 2013 | 77 | |
| 4 | 2017 | 51 | |
| 5 | 2011 | 47 | |
| 6 | 2015 | 32 | |
| 7 | 2014 | 24 | |
| 8 | 2020 | 20 | |
| 9 | 2016 | 18 | |
| 10 | 2016 | 15 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About Daniela Mazzà
Daniela Mazzà is a scholar working on Molecular Biology, Computer Networks and Communications, Electrical and Electronic Engineering, Oncology and Surgery, having authored 17 papers that have together received 630 indexed citations. Recurring topics across this work include IoT Networks and Protocols (5 papers), IoT and Edge/Fog Computing (5 papers), Ubiquitin and proteasome pathways (2 papers), Context-Aware Activity Recognition Systems (2 papers), Cancer-related Molecular Pathways (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Cancer-related gene regulation (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (193 citations), Molecular Biology (329 citations), Computer Networks and Communications (99 citations), Sensory Systems (17 citations) and Oncology (62 citations). Daniela Mazzà has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Daniele Tarchi, Giovanni Emanuele Corazza, Lucia Di Marcotullio, Enrico De Smaele, Alberto Gulino, Azzura Greco, Elisabetta Ferretti, Paola Infante, Gianluca Canettieri and Isabella Screpanti. Their work appears in journals such as Biomedicines, Cell Death and Differentiation, Circulation, Oncogene and Frontiers in Endocrinology.
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.