Carolina Rescigno
- Infectious Diseases
- Epidemiology
- Modeling and Simulation top 10%
- Clinical Psychology
- Pulmonary and Respiratory Medicine
- Co-authors
- Vincenzo SangiovanniMariantonietta PisaturoRaffaella PisapiaFrancesco Maria FuscoVincenzo EspositoLuigi AtripaldiNicola MaturoV. Iodice
- Topics
- COVID-19 Clinical Research Studies (3 papers)Bacterial Infections and Vaccines (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Partner nations
- Italy
In The Last Decade
Carolina Rescigno
11 papers receiving 123 citations
Peers
Comparison fields: 5 of 38
- Infectious Diseases 65
- Epidemiology 29
- Modeling and Simulation 24
- Clinical Psychology 22
- Pulmonary and Respiratory Medicine 21
Countries citing papers authored by Carolina Rescigno
This map shows the geographic impact of Carolina Rescigno'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 Carolina Rescigno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Rescigno more than expected).
Fields of papers citing papers by Carolina Rescigno
This network shows the impact of papers produced by Carolina Rescigno. 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 Carolina Rescigno. The network helps show where Carolina Rescigno may publish in the future.
Co-authorship network of co-authors of Carolina Rescigno
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Rescigno. A scholar is included among the top collaborators of Carolina Rescigno 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 Carolina Rescigno. Carolina Rescigno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 20 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 58 | |
| 7 | Differences among confirmed and not-confirmed COVID-19 patients at "D.Cotugno" hospital, Naples (Italy): what we learned from first suspected cases? | 5 |
| 8 | Use of lung ultrasound in COVID-19: comparison with ultra-high-resolution computed tomography among 29 patients at "D. Cotugno" hospital, Naples, Italy. | 9 |
| 9 | 0 | |
| 10 | 3 | |
| 11 | Factors influencing the presentation and outcome of tuberculous meningitis in childhood. | 10 |
| 12 | [Tuberculous meningitis in childhood: review of cases observed in the years 1995-1999]. | 3 |
| 13 | Cerebrospinal fluid interleukin-6 and IgE in bacterial and viral meningitis. | 4 |
About Carolina Rescigno
Carolina Rescigno is a scholar working on Microbiology, Critical Care and Intensive Care Medicine and Infectious Diseases, having authored 13 papers that have together received 126 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Bacterial Infections and Vaccines (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (24 citations), Infectious Diseases (65 citations) and Microbiology (12 citations). Carolina Rescigno has collaborated with scholars based in Italy. Frequent co-authors include Vincenzo Sangiovanni, Mariantonietta Pisaturo, Raffaella Pisapia, Francesco Maria Fusco, Vincenzo Esposito, Luigi Atripaldi, Nicola Maturo, V. Iodice, Giovanni Parrella and Rosaria Viglietti. Their work appears in journals such as Journal of Hospital Infection, Frontiers in Neurology and Frontiers in Medicine.
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.