Sergio Duca

5.3k total citations · 1 hit paper
93 papers, 4.0k citations indexed

About

Sergio Duca is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Sergio Duca has authored 93 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cognitive Neuroscience, 24 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Psychiatry and Mental health. Recurrent topics in Sergio Duca's work include Functional Brain Connectivity Studies (44 papers), Neural dynamics and brain function (20 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). Sergio Duca is often cited by papers focused on Functional Brain Connectivity Studies (44 papers), Neural dynamics and brain function (20 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). Sergio Duca collaborates with scholars based in Italy, United States and United Kingdom. Sergio Duca's co-authors include Franco Cauda, Giuliano Geminiani, Katiuscia Sacco, Federico D’Agata, Tommaso Costa, Alessandro Vercelli, Diana Torta, Andrea Nani, Jordi Manuello and Sergio Canavero and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

Sergio Duca

86 papers receiving 3.9k citations

Hit Papers

Functional connectivity o... 2010 2026 2015 2020 2010 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sergio Duca 2.7k 804 767 542 493 93 4.0k
Franco Cauda 3.5k 1.3× 987 1.2× 955 1.2× 662 1.2× 662 1.3× 106 5.0k
Katiuscia Sacco 2.6k 1.0× 712 0.9× 512 0.7× 375 0.7× 517 1.0× 82 3.8k
Giuliano Geminiani 3.4k 1.3× 1.1k 1.3× 509 0.7× 522 1.0× 721 1.5× 101 5.2k
Aaron Kucyi 2.8k 1.1× 835 1.0× 512 0.7× 825 1.5× 577 1.2× 64 4.2k
Lars Michels 2.1k 0.8× 752 0.9× 824 1.1× 295 0.5× 326 0.7× 127 3.9k
Karen Caeyenberghs 2.5k 0.9× 1.0k 1.3× 1.4k 1.9× 250 0.5× 320 0.6× 146 5.0k
Nobukatsu Sawamoto 2.0k 0.8× 937 1.2× 873 1.1× 492 0.9× 279 0.6× 113 3.9k
Volkmar Glauche 3.9k 1.5× 780 1.0× 1.4k 1.9× 649 1.2× 637 1.3× 74 5.9k
Armando Tartaro 1.8k 0.7× 736 0.9× 693 0.9× 287 0.5× 542 1.1× 116 3.5k
Fabrizio Piras 1.6k 0.6× 958 1.2× 770 1.0× 314 0.6× 375 0.8× 111 3.5k

Countries citing papers authored by Sergio Duca

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Duca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Duca

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Duca. A scholar is included among the top collaborators of Sergio Duca 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 Sergio Duca. Sergio Duca 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
2.
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
3.
Costa, Tommaso, Jordi Manuello, Enrico Premi, et al.. (2024). Evaluating the robustness of DTI-ALPS in clinical context: a meta-analytic parallel on Alzheimer’s and Parkinson’s diseases. Scientific Reports. 14(1). 26381–26381. 13 indexed citations
5.
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
6.
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.
7.
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
8.
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
9.
Costa, Tommaso, Matteo Diano, Franco Cauda, et al.. (2019). The neural correlates of hedonic and eudaimonic happiness: An fMRI study. Neuroscience Letters. 712. 134491–134491. 15 indexed citations
10.
Cauda, Franco, Andrea Nani, Tommaso Costa, et al.. (2018). The morphometric co‐atrophy networking of schizophrenia, autistic and obsessive spectrum disorders. Human Brain Mapping. 39(5). 1898–1928. 38 indexed citations
11.
Tatu, Karina, Tommaso Costa, Andrea Nani, et al.. (2017). How do morphological alterations caused by chronic pain distribute across the brain? A meta-analytic co-alteration study. NeuroImage Clinical. 18. 15–30. 39 indexed citations
12.
Diano, Matteo, Marco Tamietto, Alessia Celeghin, et al.. (2017). Dynamic Changes in Amygdala Psychophysiological Connectivity Reveal Distinct Neural Networks for Facial Expressions of Basic Emotions. Scientific Reports. 7(1). 45260–45260. 84 indexed citations
13.
Diano, Matteo, Tommaso Costa, Andrea Nani, et al.. (2015). Node Detection Using High-Dimensional Fuzzy Parcellation Applied to the Insular Cortex. Neural Plasticity. 2016. 1–8. 160 indexed citations
14.
Belforte, G., Elisabetta Geda, Federico D’Agata, et al.. (2014). Bra.Di.P.O. and P.I.G.R.O.: Innovative Devices for Motor Learning Programs. Journal of Robotics. 2014. 1–12. 6 indexed citations
15.
Torta, Diana, Matteo Diano, Tommaso Costa, et al.. (2012). Crossing the line of pain: fMRI correlates of the crossed hands analgesia. Human Brain Mapping. 1 indexed citations
16.
Amanzio, Martina, Diana Torta, Katiuscia Sacco, et al.. (2011). Unawareness of deficits in Alzheimer’s disease: role of the cingulate cortex. Brain. 134(4). 1061–1076. 118 indexed citations
17.
Cavanna, Andrea E., Giuliano Geminiani, Federico D’Agata, et al.. (2010). 022 Functional connectivity of the posteromedial cortex. Journal of Neurology Neurosurgery & Psychiatry. 81(10). e9–e9. 3 indexed citations
18.
Spena, Giannantonio, Federico D’Agata, Franco Cauda, et al.. (2010). Preoperative and intraoperative brain mapping for the resection of eloquent-area tumors. A prospective analysis of methodology, correlation, and usefulness based on clinical outcomes. Acta Neurochirurgica. 152(11). 1835–1846. 87 indexed citations
19.
Canavero, Sergio, C. A. Pagni, Sergio Duca, & Gianni Boris Bradač. (1994). Spinal intramedullary cavernous angiomas: A literature metaanalysis. Surgical Neurology. 41(5). 381–388. 55 indexed citations
20.
Leotta, Daniel F., et al.. (1987). A case of cortical blindness due to carbon monoxide poisoning. Neurological Sciences. 8(1). 55–58. 7 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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