Fabio Sciutti

7 papers receiving 732 citations

Fabio Sciutti's Hit Papers

Myocardial Localization of Coronavirus in COVID-19 Cardiogenic Shock 2020 · 662 citations
6620+2+4Years since publication200400600

Peers

Fabio Sciutti
Comparison fields: 5 of 69
  • Infectious Diseases 546
  • Neurology 320
  • Cardiology and Cardiovascular Medicine 268
  • Critical Care and Intensive Care Medicine 39
  • Emergency Medicine 58
Replace Stefano Pelenghi with:
Stefano Pelenghi Italy
Tullia Resasco Italy
Bhurint Siripanthong United Kingdom
Ariel Banai Israel
Yael Lichter Israel
Philippe Taieb Israel
Wouter M. van Everdingen Netherlands
Ehud Rothschild Israel
Reema Bhatt United States
Fabio Sciutti relative to Stefano Pelenghi Italy Stefano Pelenghi's profile →
Citations per field
00.5×1.5×2.1×
Stefano Pelenghi · 1×
Citations per year

Countries citing papers authored by Fabio Sciutti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fabio Sciutti Line = papers co-authored together Fabio Sciutti links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Myocardial Localization of Coronavirus in COVID-19 Cardiogenic Shock
Hit paper breakdown →
2020662
2 202026
3 202121
4 202018
5 201614
6 20168
7 20223

About Fabio Sciutti

Fabio Sciutti is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Epidemiology, Emergency Medicine and Infectious Diseases, having authored 7 papers that have together received 752 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (3 papers), Electrolyte and hormonal disorders (2 papers), Cardiac Arrest and Resuscitation (2 papers), Poisoning and overdose treatments (1 paper), Trauma and Emergency Care Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Infectious Diseases (546 citations), Neurology (320 citations), Cardiology and Cardiovascular Medicine (268 citations), Critical Care and Intensive Care Medicine (39 citations) and Emergency Medicine (58 citations). Fabio Sciutti has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Mirko Belliato, Francesco Mojoli, Giorgio Antonio Iotti, Carlo Pellegrini, Eloisa Arbustini, Stefano Pelenghi, Andrea Bottazzi, Rita Camporotondo, Tullia Resasco and M. Maurelli. Their work appears in journals such as Perfusion, Internal and Emergency Medicine, 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.

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