Matteo Pardini

6.8k total citations · 1 hit paper
169 papers, 4.0k citations indexed

About

Matteo Pardini is a scholar working on Neurology, Psychiatry and Mental health and Pathology and Forensic Medicine. According to data from OpenAlex, Matteo Pardini has authored 169 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Neurology, 47 papers in Psychiatry and Mental health and 43 papers in Pathology and Forensic Medicine. Recurrent topics in Matteo Pardini's work include Multiple Sclerosis Research Studies (42 papers), Parkinson's Disease Mechanisms and Treatments (27 papers) and Dementia and Cognitive Impairment Research (27 papers). Matteo Pardini is often cited by papers focused on Multiple Sclerosis Research Studies (42 papers), Parkinson's Disease Mechanisms and Treatments (27 papers) and Dementia and Cognitive Impairment Research (27 papers). Matteo Pardini collaborates with scholars based in Italy, United States and United Kingdom. Matteo Pardini's co-authors include Jordan Grafman, Frank Krüeger, Jorge Moll, Roland Zahn, Ricardo de Oliveira‐Souza, Luca Roccatagliata, Gianluigi Mancardi, Flavio Nobili, Laura Bonzano and Declan Chard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Matteo Pardini

157 papers receiving 4.0k citations

Hit Papers

Human fronto–mesolimbic n... 2006 2026 2012 2019 2006 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
Matteo Pardini 1.3k 933 884 833 503 169 4.0k
Francesca Baglio 1.0k 0.8× 620 0.7× 763 0.9× 317 0.4× 582 1.2× 177 3.3k
G. Ladurner 2.0k 1.5× 659 0.7× 523 0.6× 354 0.4× 359 0.7× 170 4.9k
Pasquale Calabrese 1.2k 0.9× 854 0.9× 1.1k 1.2× 1.4k 1.7× 180 0.4× 142 4.1k
Dennis Chan 1.8k 1.3× 657 0.7× 1.4k 1.6× 301 0.4× 478 1.0× 77 3.9k
Eduardo Caverzasi 720 0.5× 412 0.4× 923 1.0× 302 0.4× 728 1.4× 77 3.3k
Leo de Sonneville 2.1k 1.5× 465 0.5× 1.7k 2.0× 709 0.9× 182 0.4× 133 6.4k
Andrea Parolin Jackowski 1.3k 0.9× 476 0.5× 794 0.9× 196 0.2× 682 1.4× 149 4.1k
Paul Eling 2.3k 1.7× 378 0.4× 815 0.9× 473 0.6× 136 0.3× 187 4.4k
Francesco Saverio Fera 3.1k 2.3× 1.3k 1.4× 1.1k 1.2× 403 0.5× 594 1.2× 47 6.9k
Gian Luigi Lenzi 1.3k 1.0× 685 0.7× 713 0.8× 140 0.2× 363 0.7× 74 3.8k

Countries citing papers authored by Matteo Pardini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pardini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pardini

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Pardini. A scholar is included among the top collaborators of Matteo Pardini 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 Matteo Pardini. Matteo Pardini 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.
Tovar, Diego, Francisco Lopera, David Aguillón, et al.. (2025). Characterizing resting-state EEG oscillatory and aperiodic activity in neurodegenerative diseases: A multicentric study. Computers in Biology and Medicine. 197(Pt B). 111080–111080. 1 indexed citations
3.
Arnaldi, Dario, Pietro Mattioli, Beatrice Orso, et al.. (2025). The Many Faces of REM Sleep Behavior Disorder. Providing Evidence for a New Lexicon. European Journal of Neurology. 32(4). e70169–e70169. 1 indexed citations
4.
Malaguti, Maria Chiara, Monica Moroni, Marco Chierici, et al.. (2025). Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study. European Journal of Neurology. 32(5). e70118–e70118. 1 indexed citations
5.
Lombardi, Gemma, Silvia Pancani, Riccardo Manca, et al.. (2024). Role of Blood P-Tau Isoforms (181, 217, 231) in Predicting Conversion from MCI to Dementia Due to Alzheimer’s Disease: A Review and Meta-Analysis. International Journal of Molecular Sciences. 25(23). 12916–12916. 3 indexed citations
6.
Massa, Federico, Samir Abu‐Rumeileh, Lorenzo Barba, et al.. (2023). Cerebrospinal fluid NPTX2 changes and relationship with regional brain metabolism metrics across mild cognitive impairment due to Alzheimer's disease. Journal of Neurology. 271(4). 1999–2009. 4 indexed citations
7.
Orso, Beatrice, Luigi Lorenzini, Dario Arnaldi, et al.. (2022). The Role of Hub and Spoke Regions in Theory of Mind in Early Alzheimer’s Disease and Frontotemporal Dementia. Biomedicines. 10(3). 544–544. 11 indexed citations
8.
Tini, Giacomo, Antonio Cannatà, Marco Canepa, et al.. (2021). Is heart failure with preserved ejection fraction a ‘dementia’ of the heart?. Heart Failure Reviews. 27(2). 587–594. 8 indexed citations
9.
Serafini, Gianluca, Matteo Pardini, Fiammetta Monacelli, et al.. (2021). Neuroprogression as an Illness Trajectory in Bipolar Disorder: A Selective Review of the Current Literature. Brain Sciences. 11(2). 276–276. 40 indexed citations
10.
Massa, Federico, A. Chincarini, Matteo Bauckneht, et al.. (2021). Added value of semiquantitative analysis of brain FDG-PET for the differentiation between MCI-Lewy bodies and MCI due to Alzheimer’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 49(4). 1263–1274. 16 indexed citations
11.
Donegani, Maria Isabella, Alberto Miceli, Matteo Pardini, et al.. (2021). Brain Metabolic Correlates of Persistent Olfactory Dysfunction after SARS-Cov2 Infection. Biomedicines. 9(3). 287–287. 34 indexed citations
12.
Massa, Federico, Stefano Grisanti, Andrea Brugnolo, et al.. (2020). The role of anterior prefrontal cortex in prospective memory: an exploratory FDG-PET study in early Alzheimer's disease. Neurobiology of Aging. 96. 117–127. 11 indexed citations
13.
Carmisciano, Luca, Alessio Signori, Matteo Pardini, et al.. (2020). Assessing upper limb function in multiple sclerosis using an engineered glove. European Journal of Neurology. 27(12). 2561–2567. 6 indexed citations
14.
Brown, J William L, Ferrán Prados, Arman Eshaghi, et al.. (2019). Periventricular magnetisation transfer ratio abnormalities in multiple sclerosis improve after alemtuzumab. Multiple Sclerosis Journal. 26(9). 1093–1101. 9 indexed citations
15.
Pardini, Matteo, Giulia Bommarito, Luca Roccatagliata, et al.. (2019). CSF oligoclonal bands and normal appearing white matter periventricular damage in patients with clinically isolated syndrome suggestive of MS. Multiple Sclerosis and Related Disorders. 31. 93–96. 10 indexed citations
16.
Sormani, Maria Pia & Matteo Pardini. (2017). Assessing Repair in Multiple Sclerosis: Outcomes for Phase II Clinical Trials. Neurotherapeutics. 14(4). 924–933. 16 indexed citations
17.
Pardini, Matteo, et al.. (2016). Disruption of functional connectivity of M1 and cerebellum in Multiple sclerosis: a long-range functional dysconnection?. UCL Discovery (University College London). 1 indexed citations
18.
Pardini, Matteo, Rosa Cortese, Niamh Cawley, et al.. (2016). Functional response to a complex visuo-motor task supports local compensatory mechanisms in Multiple Sclerosis. UCL Discovery (University College London). 2 indexed citations
19.
Pardini, Matteo, Rebecca S. Samson, Karl Friston, et al.. (2015). The healthy human cerebellum engaging in complex patterns: An fMRI study. UCL Discovery (University College London). 1 indexed citations
20.
Pardini, Matteo, Laura Bonzano, Gianluigi Mancardi, & Luca Roccatagliata. (2010). Frontal networks play a role in fatigue perception in multiple sclerosis.. Behavioral Neuroscience. 124(3). 329–336. 80 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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