Daniela Ferlicca
Impact in
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- Nosocomial Infections in ICU
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- Antibiotic Use and Resistance
Papers in
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- Intensive Care Unit Cognitive Disorders 2
- Nosocomial Infections in ICU 1
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- Long-Term Effects of COVID-19 3
- Co-authors
- Marco Giani (4 shared papers)Antonio Maria Pesenti (3 shared papers)Vittorio Scaravilli (2 shared papers)Alberto Zanella (3 shared papers)Giuseppe Foti (5 shared papers)Sara Redaelli (1 shared paper)Alberto Lucchini (4 shared papers)Nicolo’ Antonino Patroniti (1 shared paper)
- Journals
- ASAIO Journal (2 papers)Critical Care (2 papers)Anesthesiology (1 paper)Journal of Clinical Medicine (1 paper)Intensive and Critical Care Nursing (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Daniela Ferlicca
11 papers receiving 456 citations
Daniela Ferlicca's Hit Papers
Peers
Comparison fields: 5 of 53
- Critical Care and Intensive Care Medicine 138
- Applied Microbiology and Biotechnology 29
- Infectious Diseases 132
- Molecular Medicine 39
- Radiological and Ultrasound Technology 15
Countries citing papers authored by Daniela Ferlicca
This map shows the geographic impact of Daniela Ferlicca'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 Daniela Ferlicca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ferlicca more than expected).
Fields of papers citing papers by Daniela Ferlicca
This network shows the impact of papers produced by Daniela Ferlicca. 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 Daniela Ferlicca. The network helps show where Daniela Ferlicca may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Ferlicca, 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 | Hospital-Acquired Infections in Critically Ill Patients With COVID-19 Hit paper breakdown → | 2021 | 268 |
| 2 | 2021 | 87 | |
| 3 | 2013 | 38 | |
| 4 | 2020 | 21 | |
| 5 | 2015 | 15 | |
| 6 | 2024 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 4 | |
| 11 | 2014 | 2 |
About Daniela Ferlicca
Daniela Ferlicca is a scholar working on Critical Care and Intensive Care Medicine, Neurology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Anesthesiology and Pain Medicine, having authored 11 papers that have together received 470 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (4 papers), Long-Term Effects of COVID-19 (3 papers), Mechanical Circulatory Support Devices (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Membrane-based Ion Separation Techniques (1 paper), Nosocomial Infections in ICU (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Tracheal and airway disorders (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (138 citations), Applied Microbiology and Biotechnology (29 citations), Infectious Diseases (132 citations), Molecular Medicine (39 citations) and Radiological and Ultrasound Technology (15 citations). Daniela Ferlicca has collaborated with scholars based in Italy and United States. Frequent co-authors include Marco Giani, Antonio Maria Pesenti, Vittorio Scaravilli, Alberto Zanella, Giuseppe Foti, Sara Redaelli, Alberto Lucchini, Nicolo’ Antonino Patroniti, Diletta Scaccabarozzi and M. Albertini. Their work appears in journals such as ASAIO Journal, Critical Care, Anesthesiology, Journal of Clinical Medicine and Intensive and Critical Care Nursing.
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.