Donato Liloia

1.1k total citations
37 papers, 598 citations indexed

About

Donato Liloia is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Donato Liloia has authored 37 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 16 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Psychiatry and Mental health. Recurrent topics in Donato Liloia's work include Functional Brain Connectivity Studies (29 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Neural dynamics and brain function (12 papers). Donato Liloia is often cited by papers focused on Functional Brain Connectivity Studies (29 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Neural dynamics and brain function (12 papers). Donato Liloia collaborates with scholars based in Italy, United States and United Kingdom. Donato Liloia's co-authors include Tommaso Costa, Jordi Manuello, Franco Cauda, Andrea Nani, Sergio Duca, Lorenzo Mancuso, Enrico Premi, Roberto Keller, Peter T. Fox and Paola Rocca and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Donato Liloia

34 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donato Liloia Italy 15 453 167 114 103 47 37 598
Jordi Manuello Italy 16 538 1.2× 209 1.3× 136 1.2× 130 1.3× 58 1.2× 42 730
Hamdi Eryilmaz United States 13 453 1.0× 140 0.8× 69 0.6× 128 1.2× 44 0.9× 24 682
Lena S. Geiger Germany 13 334 0.7× 127 0.8× 96 0.8× 120 1.2× 45 1.0× 27 544
Haiyang Geng China 13 358 0.8× 126 0.8× 104 0.9× 151 1.5× 25 0.5× 20 504
Viola Oertel Germany 10 336 0.7× 164 1.0× 158 1.4× 83 0.8× 29 0.6× 20 525
Krista Wisner United States 14 318 0.7× 118 0.7× 154 1.4× 117 1.1× 51 1.1× 31 572
Joseph D. Viviano Canada 14 613 1.4× 233 1.4× 213 1.9× 119 1.2× 33 0.7× 29 829
Eleni P. Ganella Australia 13 325 0.7× 167 1.0× 116 1.0× 119 1.2× 32 0.7× 16 462
Roberto Limongi Canada 14 274 0.6× 110 0.7× 145 1.3× 75 0.7× 70 1.5× 33 517
Eva Mennigen United States 15 417 0.9× 147 0.9× 112 1.0× 145 1.4× 73 1.6× 27 624

Countries citing papers authored by Donato Liloia

Since Specialization
Citations

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

Fields of papers citing papers by Donato Liloia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donato Liloia

This figure shows the co-authorship network connecting the top 25 collaborators of Donato Liloia. A scholar is included among the top collaborators of Donato Liloia 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 Donato Liloia. Donato Liloia 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.
Costa, Tommaso & Donato Liloia. (2025). Are current etiological theories of Alzheimer’s disease falsifiable? An epistemological assessment. Frontiers in Aging Neuroscience. 17. 1708234–1708234.
2.
Liloia, Donato, Tommaso Costa, Franco Cauda, & Jordi Manuello. (2024). Building diagnostic neuroimaging biomarkers for psychiatric disorders using reverse inference approaches: A viable route?. Advances in Clinical and Experimental Medicine. 33(5). 427–433. 1 indexed citations
3.
Drew, William, Jacob L. Stubbs, Joseph J. Taylor, et al.. (2024). Heterogeneous patterns of brain atrophy in schizophrenia localize to a common brain network. Nature Mental Health. 3(1). 19–30. 3 indexed citations
4.
5.
Liloia, Donato, et al.. (2024). From gut to brain: unveiling probiotic effects through a neuroimaging perspective—A systematic review of randomized controlled trials. Frontiers in Nutrition. 11. 1446854–1446854. 11 indexed citations
6.
Costa, Tommaso, Jordi Manuello, Andrea Nani, et al.. (2024). Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research. Psychology Research and Behavior Management. Volume 17. 2331–2345. 7 indexed citations
7.
Liloia, Donato, Jordi Manuello, Tommaso Costa, et al.. (2023). Atypical local brain connectivity in pediatric autism spectrum disorder? A coordinate-based meta-analysis of regional homogeneity studies. European Archives of Psychiatry and Clinical Neuroscience. 274(1). 3–18. 16 indexed citations
8.
Costa, Tommaso, Donato Liloia, Franco Cauda, et al.. (2023). A Minimum Bayes Factor Based Threshold for Activation Likelihood Estimation. Neuroinformatics. 21(2). 365–374. 5 indexed citations
9.
10.
Mancuso, Lorenzo, et al.. (2022). Sex differences in brain homotopic co-activations: a meta-analytic study. Brain Structure and Function. 227(8). 2839–2855. 5 indexed citations
11.
Mancuso, Lorenzo, et al.. (2022). Tasks activating the default mode network map multiple functional systems. Brain Structure and Function. 227(5). 1711–1734. 29 indexed citations
12.
Mancuso, Lorenzo, Tommaso Costa, Jordi Manuello, et al.. (2022). Linking neuroanatomical abnormalities in autism spectrum disorder with gene expression of candidate ASD genes: A meta-analytic and network-oriented approach. PLoS ONE. 17(11). e0277466–e0277466. 7 indexed citations
13.
Liloia, Donato, Claudio Brasso, Franco Cauda, et al.. (2021). Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis. Neuroscience & Biobehavioral Reviews. 123. 83–103. 42 indexed citations
14.
Costa, Tommaso, Jordi Manuello, Mario Ferraro, et al.. (2021). BACON: A tool for reverse inference in brain activation and alteration. Human Brain Mapping. 42(11). 3343–3351. 15 indexed citations
15.
Brasso, Claudio, Donato Liloia, Franco Cauda, et al.. (2021). Gray matter reduction in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis. European Psychiatry. 64(S1). S129–S129.
16.
Cauda, Franco, Andrea Nani, Donato Liloia, et al.. (2021). Interhemispheric co-alteration of brain homotopic regions. Brain Structure and Function. 226(7). 2181–2204. 4 indexed citations
17.
Cauda, Franco, Lorenzo Mancuso, Andrea Nani, et al.. (2020). Hubs of long‐distance co‐alteration characterize brain pathology. Human Brain Mapping. 41(14). 3878–3899. 18 indexed citations
18.
Cauda, Franco, Andrea Nani, Donato Liloia, et al.. (2020). Finding specificity in structural brain alterations through Bayesian reverse inference. Human Brain Mapping. 41(15). 4155–4172. 11 indexed citations
19.
Mancuso, Lorenzo, Alex Fornito, Tommaso Costa, et al.. (2020). A meta-analytic approach to mapping co-occurrent grey matter volume increases and decreases in psychiatric disorders. NeuroImage. 222. 117220–117220. 20 indexed citations
20.
Nani, Andrea, Jordi Manuello, Lorenzo Mancuso, et al.. (2020). The pathoconnectivity network analysis of the insular cortex: A morphometric fingerprinting. NeuroImage. 225. 117481–117481. 11 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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