Daniela Mazzà
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiomyopathy and Myosin Studies
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- Ion channel regulation and function
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Hedgehog Signaling Pathway Studies 3
- Epigenetics and DNA Methylation 2
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- IoT and Edge/Fog Computing 5
- Co-authors
- Daniele Tarchi (5 shared papers)Giovanni Emanuele Corazza (5 shared papers)Lucia Di Marcotullio (4 shared papers)Azzura Greco (3 shared papers)Alberto Gulino (3 shared papers)Enrico De Smaele (3 shared papers)Marta Moretti (2 shared papers)Isabella Screpanti (2 shared papers)
- Journals
- Genes (1 paper)Frontiers in Endocrinology (1 paper)Biochimie (1 paper)IEEE Communications Magazine (1 paper)Biomedicines (1 paper)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Daniela Mazzà
15 papers receiving 587 citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 190
- Molecular Biology 359
- Computer Networks and Communications 91
- Sensory Systems 15
- Oncology 65
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 | 2020 | 204 | |
| 2 | 2010 | 95 | |
| 3 | 2013 | 76 | |
| 4 | 2011 | 47 | |
| 5 | 2017 | 46 | |
| 6 | 2015 | 31 | |
| 7 | 2014 | 24 | |
| 8 | 2020 | 18 | |
| 9 | 2016 | 17 | |
| 10 | 2016 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 0 |
About Daniela Mazzà
Daniela Mazzà is a scholar working on Molecular Biology, Computer Networks and Communications, Electrical and Electronic Engineering, Surgery and Oncology, having authored 16 papers that have together received 600 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), IoT Networks and Protocols (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Context-Aware Activity Recognition Systems (2 papers), Epigenetics and DNA Methylation (2 papers), Hormonal Regulation and Hypertension (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (190 citations), Molecular Biology (359 citations), Computer Networks and Communications (91 citations), Sensory Systems (15 citations) and Oncology (65 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, Azzura Greco, Alberto Gulino, Enrico De Smaele, Marta Moretti, Isabella Screpanti, Elisabetta Ferretti and Gianluca Canettieri. Their work appears in journals such as Genes, Frontiers in Endocrinology, Biochimie, IEEE Communications Magazine and Biomedicines.
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.