Lia Talozzi

481 total citations
22 papers, 242 citations indexed

About

Lia Talozzi is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Lia Talozzi has authored 22 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Lia Talozzi's work include Advanced Neuroimaging Techniques and Applications (8 papers), Functional Brain Connectivity Studies (7 papers) and Advanced MRI Techniques and Applications (4 papers). Lia Talozzi is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (8 papers), Functional Brain Connectivity Studies (7 papers) and Advanced MRI Techniques and Applications (4 papers). Lia Talozzi collaborates with scholars based in Italy, United Kingdom and United States. Lia Talozzi's co-authors include Caterina Tonon, Raffaele Lodi, Maurizio Corbetta, Stefania Evangelisti, Michel Thiebaut de Schotten, Stephanie J. Forkel, Claudia Testa, David Neil Manners, Micaela Mitolo and Valentina Pacella and has published in prestigious journals such as Nature Communications, Brain and Cellular and Molecular Life Sciences.

In The Last Decade

Lia Talozzi

21 papers receiving 240 citations

Peers

Lia Talozzi

RNMI

NEURO

PHYSI

Kwame S. Kutten United States

Romain Viard France

Laura van de Pol Netherlands

Katsushige Iwai Japan

Carlo Cerini Italy

Muzamil Arshad United States

Thomas Bienert Germany

Suresh E. Joel India

Marian Acera Spain

Kwame S. Kutten United States

Lia Talozzi

88 ×0.8

157 ×1.7

RNMI

54 ×1.1

NEURO

27 ×0.6

22 ×0.6

PHYSI

Citations per year, relative to Lia Talozzi Lia Talozzi (= 1×) peers Kwame S. Kutten

Countries citing papers authored by Lia Talozzi

Since Specialization

Citations

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

Fields of papers citing papers by Lia Talozzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lia Talozzi

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

All Works

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20 of 20 papers shown

Talozzi, Lia, et al.. (2025). Rare genetic associations with human lifespan in UK Biobank are enriched for oncogenic genes. Nature Communications. 16(1). 2064–2064.

Chemparathy, Augustine, Yann Le Guen, Yi Zeng, et al.. (2024). A 3′UTR Insertion Is a Candidate Causal Variant at the TMEM106B Locus Associated With Increased Risk for FTLD-TDP. Neurology Genetics. 10(1). e200124–e200124. 5 indexed citations

Lim, Lena, Lia Talozzi, & Henrietta Howells. (2024). Atypical brain structural connectivity and social cognition in childhood maltreatment and peer victimisation. BMC Psychiatry. 24(1). 287–287. 2 indexed citations

Coupé, Pierrick, Lia Talozzi, Chris Foulon, et al.. (2024). Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms. Brain Communications. 6(5). fcae338–fcae338. 3 indexed citations

Pacella, Valentina, Victor Nozais, Lia Talozzi, et al.. (2024). The morphospace of the brain-cognition organisation. Nature Communications. 15(1). 8452–8452. 2 indexed citations

Nozais, Victor, Stephanie J. Forkel, Laurent Petit, et al.. (2023). Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain. Communications Biology. 6(1). 726–726. 18 indexed citations

Mitolo, Micaela, Stefania Evangelisti, Luca Pellegrini, et al.. (2023). Emotion dysregulation, impulsivity and anger rumination in borderline personality disorder: the role of amygdala and insula. European Archives of Psychiatry and Clinical Neuroscience. 274(1). 109–116. 5 indexed citations

Talozzi, Lia, Stephanie J. Forkel, Valentina Pacella, et al.. (2023). Latent disconnectome prediction of long-term cognitive-behavioural symptoms in stroke. Brain. 146(5). 1963–1978. 41 indexed citations

Talozzi, Lia, et al.. (2022). Longitudinal prediction of motor dysfunction after stroke: a disconnectome study. Brain Structure and Function. 227(9). 3085–3098. 16 indexed citations

10.

Evangelisti, Stefania, Laura Ludovica Gramegna, Chiara La Morgia, et al.. (2021). Molecular biomarkers correlate with brain grey and white matter changes in patients with mitochondrial m.3243A > G mutation. Molecular Genetics and Metabolism. 135(1). 72–81. 10 indexed citations

11.

Zoli, Matteo, Lia Talozzi, Micaela Mitolo, et al.. (2021). Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery. Journal of Visualized Experiments. 3 indexed citations

12.

Zoli, Matteo, Lia Talozzi, Matteo Martinoni, et al.. (2021). From Neurosurgical Planning to Histopathological Brain Tumor Characterization: Potentialities of Arcuate Fasciculus Along-Tract Diffusion Tensor Imaging Tractography Measures. Frontiers in Neurology. 12. 633209–633209. 11 indexed citations

13.

Gramegna, Laura Ludovica, Micaela Mitolo, Stefania Evangelisti, et al.. (2021). Major cerebral vessels involvement in patients with MELAS syndrome: Worth a scan? A systematic review. Journal of Neuroradiology. 48(5). 359–366. 7 indexed citations

14.

Zoli, Matteo, Lia Talozzi, Micaela Mitolo, et al.. (2021). Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery. Journal of Visualized Experiments. 2 indexed citations

15.

Ratti, Stefano, Isabella Rusciano, Sara Mongiorgi, et al.. (2020). Cell signaling pathways in autosomal-dominant leukodystrophy (ADLD): the intriguing role of the astrocytes. Cellular and Molecular Life Sciences. 78(6). 2781–2795. 9 indexed citations

16.

Mitolo, Micaela, Michelangelo Stanzani Maserati, Sabina Capellari, et al.. (2019). Predicting conversion from mild cognitive impairment to Alzheimer's disease using brain 1H-MRS and volumetric changes: A two- year retrospective follow-up study. NeuroImage Clinical. 23. 101843–101843. 41 indexed citations

17.

Evangelisti, Stefania, Francesca Pittau, Claudia Testa, et al.. (2019). L-Dopa Modulation of Brain Connectivity in Parkinson’s Disease Patients: A Pilot EEG-fMRI Study. Frontiers in Neuroscience. 13. 611–611. 26 indexed citations

18.

Talozzi, Lia, Claudia Testa, Stefania Evangelisti, et al.. (2018). Along-tract analysis of the arcuate fasciculus using the Laplacian operator to evaluate different tractography methods. Magnetic Resonance Imaging. 54. 183–193. 8 indexed citations

19.

Testa, Claudia, Giovanna Calandra–Buonaura, Stefania Evangelisti, et al.. (2018). Stridor-related gray matter alterations in multiple system atrophy: A pilot study. Parkinsonism & Related Disorders. 62. 226–230. 3 indexed citations

20.

Manners, David Neil, Giorgio Gnecco, Nico Lanconelli, et al.. (2017). Multi-class parkinsonian disorders classification with quantitative MR markers and graph-based features using support vector machines. Parkinsonism & Related Disorders. 47. 64–70. 18 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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