Federica Piras

8.9k total citations
49 papers, 1.4k citations indexed

About

Federica Piras is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Federica Piras has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 27 papers in Psychiatry and Mental health and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Federica Piras's work include Dementia and Cognitive Impairment Research (17 papers), Functional Brain Connectivity Studies (16 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Federica Piras is often cited by papers focused on Dementia and Cognitive Impairment Research (17 papers), Functional Brain Connectivity Studies (16 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Federica Piras collaborates with scholars based in Italy, United States and France. Federica Piras's co-authors include Gianfranco Spalletta, Fabrizio Piras, Carlo Caltagirone, Chiara Chiapponi, Erika Borella, Jennifer T. Coull, Valentina Ciullo, Elena Carbone, Simona Gardini and Paolo Girardi and has published in prestigious journals such as PLoS ONE, Neurology and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Federica Piras

45 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Federica Piras Italy 24 654 518 342 230 176 49 1.4k
Hui‐Jie Li China 20 834 1.3× 619 1.2× 193 0.6× 334 1.5× 229 1.3× 42 1.6k
Thierry Gallarda France 20 539 0.8× 378 0.7× 182 0.5× 135 0.6× 109 0.6× 48 1.1k
Cameron S. Carter United States 15 593 0.9× 467 0.9× 261 0.8× 189 0.8× 159 0.9× 35 1.5k
Gao‐Xia Wei China 20 527 0.8× 267 0.5× 262 0.8× 239 1.0× 150 0.9× 53 1.4k
Marieke Begemann Netherlands 23 485 0.7× 1.0k 2.0× 328 1.0× 216 0.9× 82 0.5× 50 2.0k
Sunil V. Kalmady India 18 525 0.8× 330 0.6× 333 1.0× 133 0.6× 129 0.7× 89 1.3k
Laurie M. McCormick United States 20 421 0.6× 383 0.7× 296 0.9× 116 0.5× 93 0.5× 32 1.0k
Vijay Venkatraman United States 19 477 0.7× 281 0.5× 326 1.0× 145 0.6× 314 1.8× 33 1.4k
Helmet T. Karim United States 21 634 1.0× 283 0.5× 114 0.3× 349 1.5× 280 1.6× 94 1.3k
Armand Hausmann Austria 21 423 0.6× 650 1.3× 435 1.3× 118 0.5× 105 0.6× 49 1.4k

Countries citing papers authored by Federica Piras

Since Specialization
Citations

This map shows the geographic impact of Federica Piras'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 Federica Piras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Piras more than expected).

Fields of papers citing papers by Federica Piras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federica Piras. 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 Federica Piras. The network helps show where Federica Piras may publish in the future.

Co-authorship network of co-authors of Federica Piras

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Piras. A scholar is included among the top collaborators of Federica Piras 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 Federica Piras. Federica Piras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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Vecchio, Daniela, et al.. (2024). Evaluating conversion from mild cognitive impairment to Alzheimer’s disease with structural MRI: a machine learning study. Brain Communications. 7(1). fcaf027–fcaf027.
3.
Giuliani, Luigi, Paola Bucci, Giulia Giordano, et al.. (2024). Prevalence of mental disorders and related risk factors in refugees and asylum seekers in Campania. Frontiers in Psychiatry. 15. 1478383–1478383.
4.
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Vecchio, Daniela, Fabrizio Piras, Fabrizio Piras, et al.. (2023). Brain Network Topology in Deficit and Non-Deficit Schizophrenia: Application of Graph Theory to Local and Global Indices. Journal of Personalized Medicine. 13(5). 799–799. 1 indexed citations
6.
Ciullo, Valentina, Federica Piras, Nerisa Banaj, et al.. (2022). Internal clock variability, mood swings and working memory in bipolar disorder. Journal of Affective Disorders. 315. 48–56. 5 indexed citations
7.
Carbone, Elena, Federica Piras, Massimiliano Pastore, & Erika Borella. (2022). The Role of Individual Characteristics in Predicting Short- and Long-Term Cognitive and Psychological Benefits of Cognitive Stimulation Therapy for Mild-to-Moderate Dementia. Frontiers in Aging Neuroscience. 13. 811127–811127. 9 indexed citations
8.
9.
Spalletta, Gianfranco, Mariangela Iorio, Daniela Vecchio, et al.. (2020). Subclinical Cognitive and Neuropsychiatric Correlates and Hippocampal Volume Features of Brain White Matter Hyperintensity in Healthy People. Journal of Personalized Medicine. 10(4). 172–172. 11 indexed citations
10.
Vecchio, Daniela, Fabrizio Piras, Fabrizio Piras, et al.. (2020). Lithium treatment impacts nucleus accumbens shape in bipolar disorder. NeuroImage Clinical. 25. 102167–102167. 8 indexed citations
11.
Tamburella, Federica, Federica Piras, Fabrizio Piras, et al.. (2019). Cerebral Perfusion Changes After Osteopathic Manipulative Treatment: A Randomized Manual Placebo-Controlled Trial. Frontiers in Physiology. 10. 403–403. 42 indexed citations
12.
Ciullo, Valentina, Federica Piras, Daniela Vecchio, et al.. (2018). Predictive timing disturbance is a precise marker of schizophrenia. Schizophrenia Research Cognition. 12. 42–49. 19 indexed citations
13.
Piras, Federica, et al.. (2017). Efficacy of cognitive stimulation therapy for older adults with vascular dementia. Dementia & Neuropsychologia. 11(4). 434–441. 41 indexed citations
14.
Borella, Erika, et al.. (2017). Performance-based everyday functional competence measures across the adult lifespan: the role of cognitive abilities. International Psychogeriatrics. 29(12). 2059–2069. 25 indexed citations
15.
Borella, Erika, Barbara Carretti, Micaela Mitolo, et al.. (2016). Characterizing cognitive inhibitory deficits in mild cognitive impairment. Psychiatry Research. 251. 342–348. 23 indexed citations
16.
Nemmi, Federico, Filippo Bianchini, Federica Piras, et al.. (2014). Finding my own way: an fMRI single case study of a subject with developmental topographical disorientation. Neurocase. 21(5). 573–583. 32 indexed citations
17.
Piras, Federica, Fabrizio Piras, Chiara Chiapponi, et al.. (2013). Widespread structural brain changes in OCD: A systematic review of voxel-based morphometry studies. Cortex. 62. 89–108. 160 indexed citations
18.
Chiapponi, Chiara, Fabrizio Piras, Sabrina Fagioli, et al.. (2013). Age-related brain trajectories in schizophrenia: A systematic review of structural MRI studies. Psychiatry Research Neuroimaging. 214(2). 83–93. 39 indexed citations
19.
Nemmi, Federico, Federica Piras, Patrice Péran, et al.. (2011). Landmark sequencing and route knowledge: An fMRI study. Cortex. 49(2). 507–519. 30 indexed citations
20.
Mariani, Erminia, Giovanni Ravaglia, Paola Forti, et al.. (1999). Vitamin D, thyroid hormones and muscle mass influence natural killer (NK) innate immunity in healthy nonagenarians and centenarians. Clinical & Experimental Immunology. 116(1). 19–27. 54 indexed citations

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.

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