Enrico Rosati
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Surgery
- Epidemiology
- Cellular and Molecular Neuroscience
- Co-authors
- Karine GouleneFulvio GabbariniLia CrottiSavina MannarinoLuigi NespoliGiuliano BosiMatteo PedrazziniPeter J. Schwartz
- Topics
- Congenital Heart Disease Studies (3 papers)Neonatal Respiratory Health Research (2 papers)Cardiovascular Conditions and Treatments (2 papers)
- Partner nations
- Italy
In The Last Decade
Enrico Rosati
11 papers receiving 793 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 686
- Molecular Biology 394
- Surgery 54
- Epidemiology 51
- Cellular and Molecular Neuroscience 50
Countries citing papers authored by Enrico Rosati
This map shows the geographic impact of Enrico Rosati'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 Enrico Rosati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Rosati more than expected).
Fields of papers citing papers by Enrico Rosati
This network shows the impact of papers produced by Enrico Rosati. 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 Enrico Rosati. The network helps show where Enrico Rosati may publish in the future.
Co-authorship network of co-authors of Enrico Rosati
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Rosati. A scholar is included among the top collaborators of Enrico Rosati 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 Enrico Rosati. Enrico Rosati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 15 | |
| 4 | Prevalence of the Congenital Long-QT Syndromebreakdown → | 695 |
| 5 | [Development of classification and payment system of in patient hospital admissions in the United States: introduction of Medicare Severity Diagnosis-Related Groups (MS-DRGs) and the Present On Admission (POA) indicator]. | 1 |
| 6 | 10 | |
| 7 | [A retrospective study to evaluate the quality of medical charts and discharge abstracts in several Rome hospitals]. | 2 |
| 8 | 3 | |
| 9 | 45 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 16 |
About Enrico Rosati
Enrico Rosati is a scholar working on Health Informatics, Health Information Management and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 821 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (3 papers), Neonatal Respiratory Health Research (2 papers) and Cardiovascular Conditions and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (686 citations), Molecular Biology (394 citations) and Endocrine and Autonomic Systems (21 citations). Enrico Rosati has collaborated with scholars based in Italy. Frequent co-authors include Karine Goulene, Fulvio Gabbarini, Lia Crotti, Savina Mannarino, Luigi Nespoli, Giuliano Bosi, Matteo Pedrazzini, Peter J. Schwartz, Alessandro Rimini and Patrizia Salice. Their work appears in journals such as Circulation, Early Human Development and BMC Pregnancy and Childbirth.
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.