Sarà Uccella

782 citations
37 papers · 378 · h-index 11

Impact in

Papers in

Sarà Uccella

34 papers receiving 373 citations

Peers

Sarà Uccella
Comparison fields: 5 of 76
  • Pediatrics, Perinatology and Child Health 169
  • Endocrine and Autonomic Systems 25
  • Clinical Psychology 76
  • Experimental and Cognitive Psychology 42
  • Obstetrics and Gynecology 23
Replace Allison M. Momany with:
Allison M. Momany United States
David Q. Stoye United Kingdom
Christopher B. Looney United States
Alan J. Quigley United Kingdom
Eva Tideman Sweden
Knut Jørgen Bjuland Norway
Laura Grace Rollins United States
Tapio Korhonen Finland
Kerstin Uvnäs Moberg Sweden
Federica Mauro Italy
Sarà Uccella relative to Allison M. Momany United States Allison M. Momany's profile →
Citations per field
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Allison M. Momany · 1×
Citations per year

Countries citing papers authored by Sarà Uccella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Sarà Uccella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sarà Uccella Line = papers co-authored together Sarà Uccella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202353
2 201746
3 201939
4 202136
5 201530
6 201925
7 202012
8 201711
9 201611
10 201810
11 201810
12 20199
13 20209
14 20238
15 20218
16 20157
17 20246
18 20216
19 20186
20 20225

About Sarà Uccella

Sarà Uccella is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Clinical Psychology, 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), Neonatal Respiratory Health Research (6 papers), Genetics and Neurodevelopmental Disorders (4 papers), COVID-19 and Mental Health (4 papers), Fetal and Pediatric Neurological Disorders (3 papers), Congenital heart defects research (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (169 citations), Endocrine and Autonomic Systems (25 citations), Clinical Psychology (76 citations), Experimental and Cognitive Psychology (42 citations) and Obstetrics and Gynecology (23 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 Luigi De Gennaro. Their work appears in journals such as Cytogenetic and Genome Research, Frontiers in Public Health, European Journal of Medical Genetics, American Journal of Neuroradiology and Sleep 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.

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