Valentina Ferrari
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience
- Organic Chemistry
- Infectious Diseases
- Co-authors
- Michaela SerpiFabrizio PertusatiFranklin I. AigbirhioYoung T. HongTim D. FryerDavid J. WilliamsonPatrick J. RissStephen J. Sawiak
- Topics
- Neurotransmitter Receptor Influence on Behavior (5 papers)Medical Imaging Techniques and Applications (4 papers)Biochemical and Molecular Research (4 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Valentina Ferrari
21 papers receiving 513 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 188
- Cellular and Molecular Neuroscience 157
- Cognitive Neuroscience 93
- Organic Chemistry 86
- Infectious Diseases 71
Countries citing papers authored by Valentina Ferrari
This map shows the geographic impact of Valentina Ferrari'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 Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Ferrari more than expected).
Fields of papers citing papers by Valentina Ferrari
This network shows the impact of papers produced by Valentina Ferrari. 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 Ferrari. The network helps show where Valentina Ferrari may publish in the future.
Co-authorship network of co-authors of Valentina Ferrari
This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Ferrari. A scholar is included among the top collaborators of Valentina Ferrari 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 Ferrari. Valentina Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 19 | |
| 6 | 100 | |
| 7 | 51 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 49 | |
| 11 | 17 | |
| 12 | 42 | |
| 13 | 47 | |
| 14 | 21 | |
| 15 | Radiosynthesis and preliminary in vivo studies with [11C]SB216763: The first brain penetrative PET tracer for imaging of glycogen synthase kinase-3 (GSK-3) | 3 |
| 16 | 32 | |
| 17 | 6 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | Safety and drug interactions of oral acetylcysteine related to utilization data. | 9 |
About Valentina Ferrari
Valentina Ferrari is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Pharmaceutical Science, having authored 21 papers that have together received 520 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Medical Imaging Techniques and Applications (4 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (157 citations), Pharmaceutical Science (36 citations) and Behavioral Neuroscience (18 citations). Valentina Ferrari has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Michaela Serpi, Fabrizio Pertusati, Franklin I. Aigbirhio, Young T. Hong, Tim D. Fryer, David J. Williamson, Patrick J. Riss, Stephen J. Sawiak, Trevor W. Robbins and Ernestina Politi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Blood.
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.