A Biagi
Impact in
Papers in
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- Cardiac Arrhythmias and Treatments 3
- Cardiac pacing and defibrillation studies 3
- Atrial Fibrillation Management and Outcomes 2
- Cardiac electrophysiology and arrhythmias 2
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- COVID-19 Clinical Research Studies 5
- Co-authors
- Luca Rossi (9 shared papers)Alessandro Malagoli (4 shared papers)Stefano Gandolfi (3 shared papers)Giovanni Villani (4 shared papers)Pasquale Vergara (3 shared papers)Géza Hálasz (2 shared papers)Massimo Piepoli (3 shared papers)Dario Piga (1 shared paper)
- Journals
- Archives of Gerontology and Geriatrics (2 papers)EP Europace (2 papers)International Journal of Cardiology (1 paper)Journal of the American Heart Association (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
A Biagi
16 papers receiving 136 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 7
- Microbiology 3
- Infectious Diseases 54
- Modeling and Simulation 8
- Neurology 24
Countries citing papers authored by A Biagi
This map shows the geographic impact of A Biagi'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 A Biagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Biagi more than expected).
Fields of papers citing papers by A Biagi
This network shows the impact of papers produced by A Biagi. 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 A Biagi. The network helps show where A Biagi may publish in the future.
Co-authors
The 25 scholars most cited alongside A Biagi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 33 | |
| 2 | 2001 | 19 | |
| 3 | 2020 | 19 | |
| 4 | 2020 | 14 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2018 | 1 | |
| 15 | 2020 | 1 | |
| 16 | [DEAE-dextran in the prevention and treatment of dyslipidemia]. | 1981 | 1 |
| 17 | 2021 | 0 | |
| 18 | 2001 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2021 | 0 |
About A Biagi
A Biagi is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Surgery, Neurology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 137 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Cardiac Arrest and Resuscitation (3 papers), Cardiac pacing and defibrillation studies (3 papers), COVID-19 diagnosis using AI (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Health Informatics (7 citations), Microbiology (3 citations), Infectious Diseases (54 citations), Modeling and Simulation (8 citations) and Neurology (24 citations). A Biagi has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Luca Rossi, Alessandro Malagoli, Stefano Gandolfi, Giovanni Villani, Pasquale Vergara, Géza Hálasz, Massimo Piepoli, Dario Piga, Luigi Pannone and Michela Sperti. Their work appears in journals such as Archives of Gerontology and Geriatrics, EP Europace, International Journal of Cardiology, Journal of the American Heart Association and Journal of Medical Internet Research.
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.