Matteo De Marco

1.9k total citations
71 papers, 1.3k citations indexed

About

Matteo De Marco is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Matteo De Marco has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 36 papers in Psychiatry and Mental health and 15 papers in Physiology. Recurrent topics in Matteo De Marco's work include Functional Brain Connectivity Studies (36 papers), Dementia and Cognitive Impairment Research (34 papers) and Alzheimer's disease research and treatments (13 papers). Matteo De Marco is often cited by papers focused on Functional Brain Connectivity Studies (36 papers), Dementia and Cognitive Impairment Research (34 papers) and Alzheimer's disease research and treatments (13 papers). Matteo De Marco collaborates with scholars based in United Kingdom, Italy and Finland. Matteo De Marco's co-authors include Annalena Venneri, Riccardo Manca, D. Blackburn, Micaela Mitolo, Simon Bell, Heather Mortiboys, Katy Barnes, Laura Ferraiuolo, Ptolemaios G. Sarrigiannis and Pamela J. Shaw and has published in prestigious journals such as Neurology, Scientific Reports and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Matteo De Marco

69 papers receiving 1.2k citations

Peers

Countries citing papers authored by Matteo De Marco

Since Specialization

Citations

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

Fields of papers citing papers by Matteo De Marco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo De Marco

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo De Marco. A scholar is included among the top collaborators of Matteo De Marco 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 De Marco. Matteo De Marco 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

#	Work	Indexed citations
1	Item-Level Analysis of Category Fluency Test Performance: A Systematic Review and Meta-Analysis of Studies of Normal and Neurologically Abnormal Ageing 2025 ·Neuropsychology Review ·Matteo De Marco, (unknown), Elena Makovac	0
2	Measuring olfactory‐related brain region volume loss in MCI and AD using structural MRI 2023 ·Alzheimer s & Dementia ·(unknown), Matteo De Marco, Annalena Venneri	1
3	The impact of social isolation due to the COVID-19 pandemic on patients with dementia and caregivers 2022 ·Acta Neuropsychiatrica ·Riccardo Manca, Matteo De Marco, (unknown), Vanessa Raymont, Jay Amin, Rhys Davies, (unknown), Gregor Russell, D. Blackburn, Annalena Venneri	7
4	The Impact of Social Isolation Due to COVID-19 on Symptom Progression in People With Dementia: Findings of the SOLITUDE Study 2022 ·Frontiers in Psychiatry ·Riccardo Manca, Matteo De Marco, (unknown), Vanessa Raymont, Jay Amin, Rhys Davies, Pramod Kumar, Gregor Russell, D. Blackburn, (unknown)	11
5	Serial Recall Order of Category Fluency Words: Exploring Its Neural Underpinnings 2022 ·Frontiers in Psychology ·Matteo De Marco, Annalena Venneri	5
6	Altered Interplay Among Large-Scale Brain Functional Networks Modulates Multi-Domain Anosognosia in Early Alzheimer’s Disease 2022 ·Frontiers in Aging Neuroscience ·(unknown), Matteo De Marco, Annalena Venneri	15
7	Functional Neural Architecture Supporting Highly Superior Autobiographical Memory 2021 ·Brain Connectivity ·Matteo De Marco, Giuliana Mazzoni, Riccardo Manca, Annalena Venneri	5
8	Obesity and Brain Vulnerability in Normal and Abnormal Aging: A Multimodal MRI Study 2021 ·Journal of Alzheimer s Disease Reports ·(unknown), Matteo De Marco, D. Blackburn, Iain D. Wilkinson, Anne M. Remes, Yawu Liu, Maria Pikkarainen, Merja Hallikainen, Hilkka Soininen, Annalena Venneri	11
9	White-Matter Hyperintensity Load and Differences in Resting-State Network Connectivity Based on Mild Cognitive Impairment Subtype 2021 ·Frontiers in Aging Neuroscience ·(unknown), Matteo De Marco, (unknown), (unknown), Maurizio Gallucci, Annalena Venneri	13
10	A Graph Theory Approach to Clarifying Aging and Disease Related Changes in Cognitive Networks 2021 ·Frontiers in Aging Neuroscience ·(unknown), Matteo De Marco, Annalena Venneri	18
11	Regional Strength of Large-Scale Functional Brain Networks is Associated with Regional Volumes in Older Adults and in Alzheimer's Disease 2020 ·Brain Connectivity ·Giuseppe Sarli, Matteo De Marco, Merja Hallikainen, Hilkka Soininen, Giuseppe Bruno, Annalena Venneri	10
12	Reduced monoaminergic nuclei MRI signal detectable in pre-symptomatic older adults with future memory decline 2020 ·Scientific Reports ·Annalena Venneri, Matteo De Marco	20
13	Beyond episodic memory: Semantic processing as independent predictor of hippocampal/perirhinal volume in aging and mild cognitive impairment due to Alzheimer’s disease. 2019 ·Neuropsychology ·Annalena Venneri, Micaela Mitolo, Leandro Beltrachini, S.D. Varma, (unknown), (unknown), Alejandro F. Frangi, Matteo De Marco	23
14	A Dementia Classification Framework Using Frequency and Time-Frequency Features Based on EEG Signals 2019 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·(unknown), Yifan Zhao, Liangyu Chen, Panagiotis Zis, Matteo De Marco, Zoe Unwin, Annalena Venneri, Xiongxiong He, Sheng Li, Yitian Zhao, D. Blackburn, Ptolemaios G. Sarrigiannis	106
15	The Modulatory Effect of Cerebrovascular Burden in Response to Cognitive Stimulation in Healthy Ageing and Mild Cognitive Impairment 2019 ·Neural Plasticity ·(unknown), Matteo De Marco, Annalena Venneri	6
16	The Association Between Distinct Frontal Brain Volumes and Behavioral Symptoms in Mild Cognitive Impairment, Alzheimer's Disease, and Frontotemporal Dementia 2019 ·Frontiers in Neurology ·(unknown), Eino Solje, Juha Koikkalainen, Jyrki Lötjönen, (unknown), Ilona Hallikainen, Ritva Vanninen, Päivi Hartikainen, Matteo De Marco, Annalena Venneri, Hilkka Soininen, Anne M. Remes, Anette Hall	41
17	ApoE-dependent differences in functional connectivity support memory performance in early-stage Alzheimer’s disease (P4.094) 2017 ·Neurology ·Matteo De Marco, Annalena Venneri	2
18	Brief Report: Two Day-Date Processing Methods in an Autistic Savant Calendar Calculator 2015 ·Journal of Autism and Developmental Disorders ·Matteo De Marco, Alessandro Iavarone, (unknown), Sergio Carlomagno	3
19	‘O’ blood type is associated with larger grey-matter volumes in the cerebellum 2015 ·Brain Research Bulletin ·Matteo De Marco, Annalena Venneri	6
20	Cognitive Stimulation: The Evidence Base for its Application in Neurodegenerative Disease 2014 ·Current Alzheimer Research ·Matteo De Marco, Michael F. Shanks, Annalena Venneri	9

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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