Pasqua Piemontese
- Nutrition and Dietetics top 1%
- Pediatrics, Perinatology and Child Health top 2%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology
- Physiology
- Co-authors
- Paola RoggeroFabio MoscaMaria Lorella GiannìOrsola AmatoLaura MorlacchiAnna OrsiNadia LiottoFrancesca Taroni
- Topics
- Infant Nutrition and Health (46 papers)Neonatal Respiratory Health Research (24 papers)Birth, Development, and Health (21 papers)
- Cited by
- Nutrition and DieteticsPediatrics, Perinatology and Child HealthPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPEDIATRICS
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Pasqua Piemontese
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 56
- Nutrition and Dietetics 832
- Pediatrics, Perinatology and Child Health 559
- Pulmonary and Respiratory Medicine 512
- Epidemiology 246
- Physiology 111
Countries citing papers authored by Pasqua Piemontese
This map shows the geographic impact of Pasqua Piemontese'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 Pasqua Piemontese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasqua Piemontese more than expected).
Fields of papers citing papers by Pasqua Piemontese
This network shows the impact of papers produced by Pasqua Piemontese. 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 Pasqua Piemontese. The network helps show where Pasqua Piemontese may publish in the future.
Co-authorship network of co-authors of Pasqua Piemontese
This figure shows the co-authorship network connecting the top 25 collaborators of Pasqua Piemontese. A scholar is included among the top collaborators of Pasqua Piemontese 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 Pasqua Piemontese. Pasqua Piemontese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 12 | |
| 8 | 23 | |
| 9 | 20 | |
| 10 | 9 | |
| 11 | 33 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 34 | |
| 16 | 16 | |
| 17 | 24 | |
| 18 | 33 | |
| 19 | Prevention of early atopic dermatitis by an infant formula supplemented with immunoactive prebiotics in low atopy risk infants | 3 |
| 20 | 2 |
About Pasqua Piemontese
Pasqua Piemontese is a scholar working on Nutrition and Dietetics, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Infant Nutrition and Health (46 papers), Neonatal Respiratory Health Research (24 papers) and Birth, Development, and Health (21 papers). The work is most often cited by research in Nutrition and Dietetics (832 citations), Pediatrics, Perinatology and Child Health (559 citations) and Pulmonary and Respiratory Medicine (512 citations). Pasqua Piemontese has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Paola Roggero, Fabio Mosca, Maria Lorella Giannì, Orsola Amato, Laura Morlacchi, Anna Orsi, Nadia Liotto, Francesca Taroni, Daniela Morniroli and Camilla Menis. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.
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.