Paulo Marques

3.7k total citations · 1 hit paper
48 papers, 2.0k citations indexed

About

Paulo Marques is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Paulo Marques has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Paulo Marques's work include Functional Brain Connectivity Studies (31 papers), Neural dynamics and brain function (12 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Paulo Marques is often cited by papers focused on Functional Brain Connectivity Studies (31 papers), Neural dynamics and brain function (12 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Paulo Marques collaborates with scholars based in Portugal, France and Denmark. Paulo Marques's co-authors include Nuno Sousa, José Miguel Soares, Victor Alves, Ricardo Magalhães, Pedro Silva Moreira, Nadine Correia Santos, Adriana Sampaio, João Cerqueira, Joana Cabral and Gustavo Deco and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Paulo Marques

48 papers receiving 2.0k citations

Hit Papers

A hitchhiker's guide to diffusion tensor imaging 2013 2026 2017 2021 2013 200 400 600

Peers

Paulo Marques
Trevor Ahearn United Kingdom
Kai Hwang United States
Ian H. Harding Australia
Rick Hoge Canada
Tilman Schulte United States
Sina Aslan United States
Paulo Marques
Citations per year, relative to Paulo Marques Paulo Marques (= 1×) peers José Miguel Soares

Countries citing papers authored by Paulo Marques

Since Specialization
Citations

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

Fields of papers citing papers by Paulo Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulo Marques

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Marques. A scholar is included among the top collaborators of Paulo Marques 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 Paulo Marques. Paulo Marques 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.
Martins, Thiago Gonçalves dos Santos, et al.. (2025). Deep Learning Methods for Sacroiliitis Detection. Procedia Computer Science. 256. 918–924. 1 indexed citations
2.
Amorim, Liliana, Teresa Costa Castanho, Ana Coelho, et al.. (2022). Association of amygdala size with stress perception: Findings of a transversal study across the lifespan. European Journal of Neuroscience. 56(8). 5287–5298. 3 indexed citations
3.
Portugal‐Nunes, Carlos, Joana Reis, Ana Coelho, et al.. (2021). The Association of Metabolic Dysfunction and Mood Across Lifespan Interacts With the Default Mode Network Functional Connectivity. Frontiers in Aging Neuroscience. 13. 618623–618623. 2 indexed citations
4.
Amorim, Liliana, José Miguel Soares, Sónia Ferreira, et al.. (2021). Amygdala size varies with stress perception. Neurobiology of Stress. 14. 100334–100334. 10 indexed citations
5.
Portugal‐Nunes, Carlos, Teresa Costa Castanho, Pedro Silva Moreira, et al.. (2019). The moderator effect of age in the association between mood and adiposity in the elderly is specific for the subcutaneous adipose compartment: An MRI study. International Journal of Geriatric Psychiatry. 35(1). 113–121. 4 indexed citations
6.
Barrière, David André, Ricardo Magalhães, Ashley Novais, et al.. (2019). The SIGMA rat brain templates and atlases for multimodal MRI data analysis and visualization. Nature Communications. 10(1). 5699–5699. 86 indexed citations
7.
Moreira, Pedro Silva, Paulo Marques, Ricardo Magalhães, et al.. (2019). The resting-brain of obsessive–compulsive disorder. Psychiatry Research Neuroimaging. 290. 38–41. 15 indexed citations
8.
Amorim, Liliana, Ricardo Magalhães, Ana Coelho, et al.. (2018). Poor Sleep Quality Associates With Decreased Functional and Structural Brain Connectivity in Normative Aging: A MRI Multimodal Approach. Frontiers in Aging Neuroscience. 10. 375–375. 33 indexed citations
9.
Teixeira, Fábio G., Miguel Gago, Paulo Marques, et al.. (2018). Safinamide: a new hope for Parkinson’s disease?. Drug Discovery Today. 23(3). 736–744. 40 indexed citations
10.
Lori, Nicolás, et al.. (2018). Deep Learning Based Pipeline for Fingerprinting Using Brain Functional MRI Connectivity Data. Procedia Computer Science. 141. 539–544. 8 indexed citations
11.
Saenger, Victor M., Joshua Kahan, Thomas Foltynie, et al.. (2017). Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease. Scientific Reports. 7(1). 9882–9882. 74 indexed citations
12.
Coelho, Ana, Paulo Marques, Ricardo Magalhães, et al.. (2017). A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies. INTELIGENCIA ARTIFICIAL. 20(59). 42–42. 2 indexed citations
13.
Cabral, Joana, Diego Vidaurre, Paulo Marques, et al.. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Scientific Reports. 7(1). 5135–5135. 222 indexed citations
14.
Magalhães, Ricardo, Julie Bourgin, Fawzi Boumezbeur, et al.. (2017). White matter changes in microstructure associated with a maladaptive response to stress in rats. Translational Psychiatry. 7(1). e1009–e1009. 24 indexed citations
15.
Esteves, Madalena, Paulo Marques, Ricardo Magalhães, et al.. (2017). Structural laterality is associated with cognitive and mood outcomes: An assessment of 105 healthy aged volunteers. NeuroImage. 153. 86–96. 17 indexed citations
16.
Soares, José Miguel, Paulo Marques, Ricardo Magalhães, Nadine Correia Santos, & Nuno Sousa. (2016). The association between stress and mood across the adult lifespan on default mode network. Brain Structure and Function. 222(1). 101–112. 30 indexed citations
17.
Marques, Paulo, José Miguel Soares, Ricardo Magalhães, Nadine Correia Santos, & Nuno Sousa. (2015). Macro- and micro-structural white matter differences correlate with cognitive performance in healthy aging. Brain Imaging and Behavior. 10(1). 168–181. 13 indexed citations
18.
Magalhães, Ricardo, Paulo Marques, José Miguel Soares, Victor Alves, & Nuno Sousa. (2014). The Impact of Normalization and Segmentation on Resting-State Brain Networks. Brain Connectivity. 5(3). 166–176. 14 indexed citations
19.
Soares, José Miguel, et al.. (2014). Brain structure across the lifespan: the influence of stress and mood. Frontiers in Aging Neuroscience. 6. 330–330. 11 indexed citations
20.
Soares, José Miguel, Adriana Sampaio, Nadine Correia Santos, et al.. (2013). Stress Impact on Resting State Brain Networks. PLoS ONE. 8(6). e66500–e66500. 102 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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