Q Piacevoli
- Anesthesiology and Pain Medicine top 5%
- Critical Care and Intensive Care Medicine top 10%
- Cardiology and Cardiovascular Medicine
- Developmental Neuroscience top 10%
- Surgery
- Co-authors
- Steven GreenKeira P. MasonPaolo NavalesiIrene TosettiCesare GregorettiN. BarzaghiSusanta K. NayakSergiy V. Rosokha
- Topics
- Anesthesia and Sedative Agents (3 papers)Molecular Sensors and Ion Detection (2 papers)Intensive Care Unit Cognitive Disorders (2 papers)
- Cited by
- Anesthesiology and Pain MedicineCritical Care and Intensive Care MedicineDevelopmental Neuroscience
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Q Piacevoli
8 papers receiving 200 citations
Peers
Comparison fields: 5 of 53
- Anesthesiology and Pain Medicine 144
- Critical Care and Intensive Care Medicine 61
- Cardiology and Cardiovascular Medicine 50
- Developmental Neuroscience 46
- Surgery 39
Countries citing papers authored by Q Piacevoli
This map shows the geographic impact of Q Piacevoli'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 Q Piacevoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q Piacevoli more than expected).
Fields of papers citing papers by Q Piacevoli
This network shows the impact of papers produced by Q Piacevoli. 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 Q Piacevoli. The network helps show where Q Piacevoli may publish in the future.
Co-authorship network of co-authors of Q Piacevoli
This figure shows the co-authorship network connecting the top 25 collaborators of Q Piacevoli. A scholar is included among the top collaborators of Q Piacevoli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Q Piacevoli. Q Piacevoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | No correlation between remifentanil blood, cerebrospinal fluid and cerebral extracellular fluid levels and TCI prediction: a pharmacokinetic study. | 3 |
| 5 | 2 | |
| 6 | 150 | |
| 7 | 34 | |
| 8 | Cost evaluation of patients with severe sepsis in intensive care units. | 1 |
About Q Piacevoli
Q Piacevoli is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Developmental Neuroscience, having authored 8 papers that have together received 205 indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (3 papers), Molecular Sensors and Ion Detection (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (144 citations), Critical Care and Intensive Care Medicine (61 citations) and Developmental Neuroscience (46 citations). Q Piacevoli has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Steven Green, Keira P. Mason, Paolo Navalesi, Irene Tosetti, Cesare Gregoretti, N. Barzaghi, Susanta K. Nayak, Sergiy V. Rosokha, Giancarlo Terraneo and Federica Bertolotti. Their work appears in journals such as Angewandte Chemie International Edition, Drugs and British Journal of Anaesthesia.
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.