Massimo Borelli
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 3
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- Intensive Care Unit Cognitive Disorders 3
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- Airway Management and Intubation Techniques 3
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- Respiratory Support and Mechanisms 13
- Emergency Medicine top 5%
- Cardiac Arrest and Resuscitation 6
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- Sepsis Diagnosis and Treatment 4
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- Pregnancy and preeclampsia studies 3
- Uterine Myomas and Treatments 3
- Co-authors
- Alessia Di GilioGianluigi de GennaroPierluigi BarbieriJolanda PalmisaniLeonardo SettiAlessandro MianiMaria Grazia PerronePrisco Piscitelli
- Cited by
- Modeling and SimulationCritical Care and Intensive Care MedicineAnesthesiology and Pain Medicine
- Journals
- Critical Care Medicine (5 papers)Journal of Clinical Medicine (3 papers)Journal of Workplace Learning (3 papers)
- Partner nations
- ItalyUnited StatesBrazil
In The Last Decade
Massimo Borelli
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 151
- Modeling and Simulation 191
- Critical Care and Intensive Care Medicine 187
- Anesthesiology and Pain Medicine 117
- Pulmonary and Respiratory Medicine 629
- Emergency Medicine 186
Countries citing papers authored by Massimo Borelli
This map shows the geographic impact of Massimo Borelli'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 Massimo Borelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Borelli more than expected).
Fields of papers citing papers by Massimo Borelli
This network shows the impact of papers produced by Massimo Borelli. 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 Massimo Borelli. The network helps show where Massimo Borelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Borelli, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2020 | 53 | |
| 5 | 2019 | 18 | |
| 6 | 2016 | 41 | |
| 7 | 2016 | 4 | |
| 8 | 2015 | 18 | |
| 9 | 2015 | 3 | |
| 10 | 2015 | 26 | |
| 11 | 2012 | 9 | |
| 12 | 2012 | 99 | |
| 13 | 2011 | 41 | |
| 14 | 2011 | 23 | |
| 15 | 2011 | 10 | |
| 16 | 2010 | 13 | |
| 17 | 2009 | 14 | |
| 18 | 2007 | 61 | |
| 19 | 2000 | 38 | |
| 20 | 1988 | 43 |
About Massimo Borelli
Massimo Borelli is a scholar working on Critical Care and Intensive Care Medicine, Obstetrics and Gynecology, Modeling and Simulation, Emergency Medicine and Anesthesiology and Pain Medicine, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (13 papers), Cardiac Arrest and Resuscitation (6 papers), Sepsis Diagnosis and Treatment (4 papers), Pregnancy and preeclampsia studies (3 papers), Intensive Care Unit Cognitive Disorders (3 papers), COVID-19 epidemiological studies (3 papers), Airway Management and Intubation Techniques (3 papers) and Uterine Myomas and Treatments (3 papers). The work is most often cited by research in Modeling and Simulation (191 citations), Critical Care and Intensive Care Medicine (187 citations), Anesthesiology and Pain Medicine (117 citations), Pulmonary and Respiratory Medicine (629 citations) and Emergency Medicine (186 citations). Massimo Borelli has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Alessia Di Gilio, Gianluigi de Gennaro, Pierluigi Barbieri, Jolanda Palmisani, Leonardo Setti, Alessandro Miani, Maria Grazia Perrone, Prisco Piscitelli, Fabrizio Passarini and Umberto Lucangelo. Their work appears in journals such as Critical Care Medicine, Journal of Clinical Medicine, Journal of Workplace Learning, Intensive Care Medicine and Aging Clinical and Experimental 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.