Fabio Sciutti
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
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- Cardiac Arrest and Resuscitation 3
- Poisoning and overdose treatments 1
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- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Mirko Belliato (4 shared papers)Francesco Mojoli (4 shared papers)Giorgio Antonio Iotti (3 shared papers)Carlo Pellegrini (3 shared papers)Tullia Resasco (1 shared paper)Stefania Paolucci (1 shared paper)Eloisa Arbustini (1 shared paper)Raffaele Bruno (1 shared paper)
- Journals
- Internal and Emergency Medicine (2 papers)JAMA Network Open (1 paper)Journal of Clinical Monitoring and Computing (1 paper)Clinical Nutrition (1 paper)Heliyon (1 paper)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Fabio Sciutti
10 papers receiving 858 citations
Fabio Sciutti's Hit Papers
Peers
Comparison fields: 5 of 72
- Infectious Diseases 528
- Neurology 290
- Cardiology and Cardiovascular Medicine 237
- Emergency Medicine 48
- Critical Care and Intensive Care Medicine 25
Countries citing papers authored by Fabio Sciutti
This map shows the geographic impact of Fabio Sciutti'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 Fabio Sciutti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Sciutti more than expected).
Fields of papers citing papers by Fabio Sciutti
This network shows the impact of papers produced by Fabio Sciutti. 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 Fabio Sciutti. The network helps show where Fabio Sciutti may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Sciutti, 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 | Myocardial Localization of Coronavirus in COVID-19 Cardiogenic Shock Hit paper breakdown → | 2020 | 733 |
| 2 | 2020 | 33 | |
| 3 | 2022 | 29 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 21 | |
| 6 | 2016 | 16 | |
| 7 | 2020 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2016 | 8 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 0 |
About Fabio Sciutti
Fabio Sciutti is a scholar working on Emergency Medicine, Infectious Diseases, Neurology, Internal Medicine and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 884 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Cardiac Arrest and Resuscitation (3 papers), Mechanical Circulatory Support Devices (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Sepsis Diagnosis and Treatment (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Poisoning and overdose treatments (1 paper) and Thermal Regulation in Medicine (1 paper). The work is most often cited by research in Infectious Diseases (528 citations), Neurology (290 citations), Cardiology and Cardiovascular Medicine (237 citations), Emergency Medicine (48 citations) and Critical Care and Intensive Care Medicine (25 citations). Fabio Sciutti has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Mirko Belliato, Francesco Mojoli, Giorgio Antonio Iotti, Carlo Pellegrini, Tullia Resasco, Stefania Paolucci, Eloisa Arbustini, Raffaele Bruno, Guido Tavazzi and Fausto Baldanti. Their work appears in journals such as Internal and Emergency Medicine, JAMA Network Open, Journal of Clinical Monitoring and Computing, Clinical Nutrition and Heliyon.
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.