Valeria Latorre
- Cognitive Neuroscience top 2%
- Psychiatry and Mental health top 2%
- Molecular Biology
- Neurology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Giuseppe BlasiAlessandro BertolinoTommaso ScarabinoGrazia CaforioDaniel R. WeinbergerMarcello NardiniTeresa PopolizioValeria Rubino
- Topics
- Functional Brain Connectivity Studies (9 papers)Neural and Behavioral Psychology Studies (6 papers)Schizophrenia research and treatment (6 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Valeria Latorre
25 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Cognitive Neuroscience 897
- Psychiatry and Mental health 475
- Molecular Biology 364
- Neurology 283
- Cellular and Molecular Neuroscience 269
Countries citing papers authored by Valeria Latorre
This map shows the geographic impact of Valeria Latorre'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 Valeria Latorre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria Latorre more than expected).
Fields of papers citing papers by Valeria Latorre
This network shows the impact of papers produced by Valeria Latorre. 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 Valeria Latorre. The network helps show where Valeria Latorre may publish in the future.
Co-authorship network of co-authors of Valeria Latorre
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Latorre. A scholar is included among the top collaborators of Valeria Latorre 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 Valeria Latorre. Valeria Latorre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 6 | |
| 3 | 16 | |
| 4 | 4 | |
| 5 | 28 | |
| 6 | 199 | |
| 7 | 25 | |
| 8 | 54 | |
| 9 | 25 | |
| 10 | 13 | |
| 11 | Does the default-mode functional connectivity of the brain correlate with working-memory performances? | 65 |
| 12 | 73 | |
| 13 | 70 | |
| 14 | 41 | |
| 15 | 172 | |
| 16 | 49 | |
| 17 | 204 | |
| 18 | 168 | |
| 19 | 222 | |
| 20 | 60 |
About Valeria Latorre
Valeria Latorre is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Biological Psychiatry, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Neural and Behavioral Psychology Studies (6 papers) and Schizophrenia research and treatment (6 papers). The work is most often cited by research in Cognitive Neuroscience (897 citations), Psychiatry and Mental health (475 citations) and Behavioral Neuroscience (69 citations). Valeria Latorre has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giuseppe Blasi, Alessandro Bertolino, Tommaso Scarabino, Grazia Caforio, Daniel R. Weinberger, Marcello Nardini, Teresa Popolizio, Valeria Rubino, Vittoria Petruzzella and Bhaskar Kolachana. Their work appears in journals such as Nature Genetics, Journal of Neuroscience and PLoS ONE.
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.