Valentina Satta
- Pharmacology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 2%
- Cellular and Molecular Neuroscience top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Salvatore NaitanaGiovanni Giuseppe LeoniFiammetta BerlinguerSara SuccuValeria PasciuJavier Fernández‐RuízOnintza SagredoMaría Scherma
- Topics
- Cannabis and Cannabinoid Research (17 papers)Neuroscience and Neuropharmacology Research (10 papers)Reproductive Biology and Fertility (6 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Valentina Satta
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Pharmacology 339
- Public Health, Environmental and Occupational Health 311
- Reproductive Medicine 306
- Cellular and Molecular Neuroscience 265
- Endocrine and Autonomic Systems 168
Countries citing papers authored by Valentina Satta
This map shows the geographic impact of Valentina Satta'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 Valentina Satta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Satta more than expected).
Fields of papers citing papers by Valentina Satta
This network shows the impact of papers produced by Valentina Satta. 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 Valentina Satta. The network helps show where Valentina Satta may publish in the future.
Co-authorship network of co-authors of Valentina Satta
This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Satta. A scholar is included among the top collaborators of Valentina Satta 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 Valentina Satta. Valentina Satta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 19 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 21 | |
| 8 | 64 | |
| 9 | 17 | |
| 10 | 25 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 70 | |
| 15 | 75 | |
| 16 | 151 | |
| 17 | 26 | |
| 18 | 30 | |
| 19 | 67 | |
| 20 | 30 |
About Valentina Satta
Valentina Satta is a scholar working on Endocrine and Autonomic Systems, Pharmacology and Reproductive Medicine, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (17 papers), Neuroscience and Neuropharmacology Research (10 papers) and Reproductive Biology and Fertility (6 papers). The work is most often cited by research in Reproductive Medicine (306 citations), Endocrine and Autonomic Systems (168 citations) and Pharmacology (339 citations). Valentina Satta has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Salvatore Naitana, Giovanni Giuseppe Leoni, Fiammetta Berlinguer, Sara Succu, Valeria Pasciu, Javier Fernández‐Ruíz, Onintza Sagredo, María Scherma, Paola Fadda and Roger G. Pertwee. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.