Sarà Uccella
- Pediatrics, Perinatology and Child Health top 10%
- Clinical Psychology
- Pulmonary and Respiratory Medicine
- Cognitive Neuroscience
- Experimental and Cognitive Psychology
- Co-authors
- Mariasavina SeverinoLuca A. RamenghiDomenico TortoraAndrea RossiLino NobiliGiovanni MoranaAlessandro ParodiMariya Malova
- Topics
- Neonatal and fetal brain pathology (10 papers)Infant Development and Preterm Care (6 papers)Neonatal Respiratory Health Research (6 papers)
- Cited by
- Pediatrics, Perinatology and Child HealthEndocrine and Autonomic SystemsClinical Psychology
- Journals
- SHILAP Revista de lepidopterologíaScience AdvancesNutrients
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Sarà Uccella
34 papers receiving 373 citations
Peers
Comparison fields: 5 of 76
- Pediatrics, Perinatology and Child Health 169
- Clinical Psychology 76
- Pulmonary and Respiratory Medicine 74
- Cognitive Neuroscience 49
- Experimental and Cognitive Psychology 42
Countries citing papers authored by Sarà Uccella
This map shows the geographic impact of Sarà Uccella'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 Sarà Uccella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarà Uccella more than expected).
Fields of papers citing papers by Sarà Uccella
This network shows the impact of papers produced by Sarà Uccella. 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 Sarà Uccella. The network helps show where Sarà Uccella may publish in the future.
Co-authorship network of co-authors of Sarà Uccella
This figure shows the co-authorship network connecting the top 25 collaborators of Sarà Uccella. A scholar is included among the top collaborators of Sarà Uccella 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 Sarà Uccella. Sarà Uccella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 53 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 9 | |
| 15 | 25 | |
| 16 | 39 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 11 | |
| 20 | 46 |
About Sarà Uccella
Sarà Uccella is a scholar working on Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Critical Care and Intensive Care Medicine, having authored 37 papers that have together received 378 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (10 papers), Infant Development and Preterm Care (6 papers) and Neonatal Respiratory Health Research (6 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (169 citations), Endocrine and Autonomic Systems (25 citations) and Clinical Psychology (76 citations). Sarà Uccella has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Mariasavina Severino, Luca A. Ramenghi, Domenico Tortora, Andrea Rossi, Lino Nobili, Giovanni Morana, Alessandro Parodi, Mariya Malova, Elisa De Grandis and Serena Scarpelli. Their work appears in journals such as SHILAP Revista de lepidopterología, Science Advances and Nutrients.
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.