Ornella Valenti
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Neurology top 5%
- Neurology top 5%
- Co-authors
- Michael J. MarinoP. Jeffrey ConnAnthony A. GraceGuido MannaioniStephen F. TraynelisKathryn GillDaniel J. LodgeGene G. Kinney
- Topics
- Neuroscience and Neuropharmacology Research (20 papers)Memory and Neural Mechanisms (8 papers)Receptor Mechanisms and Signaling (6 papers)
- Partner nations
- United StatesAustriaItaly
In The Last Decade
Ornella Valenti
24 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 1.5k
- Molecular Biology 713
- Cognitive Neuroscience 616
- Neurology 204
- Neurology 203
Countries citing papers authored by Ornella Valenti
This map shows the geographic impact of Ornella Valenti'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 Ornella Valenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ornella Valenti more than expected).
Fields of papers citing papers by Ornella Valenti
This network shows the impact of papers produced by Ornella Valenti. 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 Ornella Valenti. The network helps show where Ornella Valenti may publish in the future.
Co-authorship network of co-authors of Ornella Valenti
This figure shows the co-authorship network connecting the top 25 collaborators of Ornella Valenti. A scholar is included among the top collaborators of Ornella Valenti 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 Ornella Valenti. Ornella Valenti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 11 | |
| 3 | 37 | |
| 4 | 31 | |
| 5 | 194 | |
| 6 | 108 | |
| 7 | [Clinical effects of treatment with phytoestrogens in postmenopausal women]. | 5 |
| 8 | 99 | |
| 9 | 139 | |
| 10 | 31 | |
| 11 | 15 | |
| 12 | 40 | |
| 13 | 75 | |
| 14 | 83 | |
| 15 | 16 | |
| 16 | 9 | |
| 17 | 140 | |
| 18 | 198 | |
| 19 | 98 | |
| 20 | 65 |
About Ornella Valenti
Ornella Valenti is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Memory and Neural Mechanisms (8 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Behavioral Neuroscience (133 citations) and Cognitive Neuroscience (616 citations). Ornella Valenti has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Michael J. Marino, P. Jeffrey Conn, Anthony A. Grace, Guido Mannaioni, Stephen F. Traynelis, Kathryn Gill, Daniel J. Lodge, Gene G. Kinney, Anthony G. DiLella and Thomas Klausberger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.
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.