Letizia Squarcina
- Biological Psychiatry top 10%
- Tryptophan and brain disorders 4
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 24
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- Advanced Neuroimaging Techniques and Applications 20
- Advanced MRI Techniques and Applications 11
- Psychiatry and Mental health top 10%
- Bipolar Disorder and Treatment 12
- Schizophrenia research and treatment 5
- Health Informatics top 10%
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- Fetal and Pediatric Neurological Disorders 6
- Neonatal and fetal brain pathology 5
- Co-authors
- Paolo BrambillaMarcella BellaniAlessandra BertoldoGiuseppe DelvecchioNicola DusiMaria NobileEnrico GrisanCinzia Perlini
- Journals
- Journal of Affective Disorders (8 papers)Frontiers in Psychiatry (4 papers)NeuroImage (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Letizia Squarcina
42 papers receiving 710 citations
Peers
Comparison fields: 5 of 109
- Biological Psychiatry 47
- Cognitive Neuroscience 272
- Radiology, Nuclear Medicine and Imaging 236
- Psychiatry and Mental health 153
- Health Informatics 13
Countries citing papers authored by Letizia Squarcina
This map shows the geographic impact of Letizia Squarcina'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 Letizia Squarcina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Letizia Squarcina more than expected).
Fields of papers citing papers by Letizia Squarcina
This network shows the impact of papers produced by Letizia Squarcina. 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 Letizia Squarcina. The network helps show where Letizia Squarcina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Letizia Squarcina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 7 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 4 | |
| 15 | 2018 | 55 | |
| 16 | 2017 | 11 | |
| 17 | 2017 | 43 | |
| 18 | 2017 | 9 | |
| 19 | 2015 | 26 | |
| 20 | 2011 | 66 |
About Letizia Squarcina
Letizia Squarcina is a scholar working on Biological Psychiatry, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 717 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (24 papers), Advanced Neuroimaging Techniques and Applications (20 papers), Bipolar Disorder and Treatment (12 papers), Advanced MRI Techniques and Applications (11 papers), Fetal and Pediatric Neurological Disorders (6 papers), Neonatal and fetal brain pathology (5 papers), Schizophrenia research and treatment (5 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Cognitive Neuroscience (272 citations) and Radiology, Nuclear Medicine and Imaging (236 citations). Letizia Squarcina has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paolo Brambilla, Marcella Bellani, Alessandra Bertoldo, Giuseppe Delvecchio, Nicola Dusi, Maria Nobile, Enrico Grisan, Cinzia Perlini, Mario Rango and Mirella Ruggeri. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Psychiatry, NeuroImage, Frontiers in Pediatrics and Neuroscience & Biobehavioral Reviews.
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.