Paulo Aguiar

4.7k total citations · 1 hit paper
87 papers, 2.7k citations indexed

About

Paulo Aguiar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Paulo Aguiar has authored 87 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 22 papers in Cognitive Neuroscience and 17 papers in Molecular Biology. Recurrent topics in Paulo Aguiar's work include Neuroscience and Neural Engineering (24 papers), Neural dynamics and brain function (17 papers) and Neuroscience and Neuropharmacology Research (13 papers). Paulo Aguiar is often cited by papers focused on Neuroscience and Neural Engineering (24 papers), Neural dynamics and brain function (17 papers) and Neuroscience and Neuropharmacology Research (13 papers). Paulo Aguiar collaborates with scholars based in Portugal, United Kingdom and United States. Paulo Aguiar's co-authors include António Polónia, Catarina Eloy, Guilherme Aresta, Teresa Araújo, Aurélio Campilho, José Rouco, Eduardo Castro, Duarte Araújo, Júlio Garganta and Keith Davids and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Paulo Aguiar

84 papers receiving 2.7k citations

Hit Papers

Classification of breast cancer histology images using Co... 2017 2026 2020 2023 2017 200 400 600

Peers

Paulo Aguiar
Paulo Aguiar
Citations per year, relative to Paulo Aguiar Paulo Aguiar (= 1×) peers Noriko Nagata

Countries citing papers authored by Paulo Aguiar

Since Specialization
Citations

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

Fields of papers citing papers by Paulo Aguiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulo Aguiar

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Aguiar. A scholar is included among the top collaborators of Paulo Aguiar 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 Aguiar. Paulo Aguiar 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.
Aroso, Miguel, et al.. (2025). Influence of asymmetric microchannels in the structure and function of engineered neuronal circuits. Biofabrication. 17(2). 25022–25022. 1 indexed citations
2.
Machado, Pedro, Robert Hindges, Roland A. Fleck, et al.. (2024). Excitatory and inhibitory synapses show a tight subcellular correlation that weakens over development. Cell Reports. 43(7). 114361–114361. 1 indexed citations
3.
Sousa, Mónica Mendes, et al.. (2024). Beyond a Transmission Cable—New Technologies to Reveal the Richness in Axonal Electrophysiology. Journal of Neuroscience. 44(11). e1446232023–e1446232023. 9 indexed citations
4.
Osório, Hugo, Paulo Aguiar, Daniela Freitas, et al.. (2023). Nanoparticles targeting Sialyl-Tn for efficient tyrosine kinase inhibitor delivery in gastric cancer. Acta Biomaterialia. 170. 142–154. 11 indexed citations
5.
Swaay, Dirk van, et al.. (2022). Nanoscale Patterning of In Vitro Neuronal Circuits. ACS Nano. 16(4). 5731–5742. 14 indexed citations
6.
Drpic, Danica, Joana Damas, Harris A. Lewin, et al.. (2022). Augmin-dependent microtubule self-organization drives kinetochore fiber maturation in mammals. Cell Reports. 39(1). 110610–110610. 16 indexed citations
7.
Aguiar, Paulo, et al.. (2022). Non-Invasive Assessment of Mild Stress-Induced Hyperthermia by Infrared Thermography in Laboratory Mice. Animals. 12(2). 177–177. 10 indexed citations
8.
Conde‐Sousa, Eduardo, Ming Feng, Kele Xu, et al.. (2022). HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin–Eosin Whole-Slide Imaging. Journal of Imaging. 8(8). 213–213. 25 indexed citations
9.
Aguiar, Daniel Moura de, et al.. (2022). Perceptrões e redes neuronais artificiais. Revista de Ciência Elementar. 10(1).
10.
Ferreira, Jorge G., et al.. (2020). Trackosome: a computational toolbox to study the spatiotemporal dynamics of centrosomes, nuclear envelope and cellular membrane. Journal of Cell Science. 133(24). 3 indexed citations
11.
Vitiello, Elisa, Irène Wang, Nicolas Carpi, et al.. (2020). Centrosome–nuclear axis repositioning drives the assembly of a bipolar spindle scaffold to ensure mitotic fidelity. Molecular Biology of the Cell. 31(16). 1675–1690. 22 indexed citations
12.
Lopes, Cátia D. F., et al.. (2018). Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation. Journal of Visualized Experiments. 12 indexed citations
13.
Fondón, Irene, Auxiliadora Sarmiento, Á. García, et al.. (2018). Automatic classification of tissue malignancy for breast carcinoma diagnosis. Computers in Biology and Medicine. 96. 41–51. 53 indexed citations
14.
Araújo, Teresa, Guilherme Aresta, Eduardo Castro, et al.. (2017). Classification of breast cancer histology images using Convolutional Neural Networks. PLoS ONE. 12(6). e0177544–e0177544. 648 indexed citations breakdown →
15.
Ramos, Alexandre F., et al.. (2017). Backward-stochastic-differential-equation approach to modeling of gene expression. Physical review. E. 95(3). 32418–32418. 5 indexed citations
16.
Teixeira, Graciosa Q., Catarina Leite Pereira, Flávia Castro, et al.. (2016). Anti-inflammatory Chitosan/Poly-γ-glutamic acid nanoparticles control inflammation while remodeling extracellular matrix in degenerated intervertebral disc. Acta Biomaterialia. 42. 168–179. 77 indexed citations
17.
Neto, Estrela, Luís Leitão, Daniela M. Sousa, et al.. (2016). Compartmentalized Microfluidic Platforms: The Unrivaled Breakthrough ofIn VitroTools for Neurobiological Research. Journal of Neuroscience. 36(46). 11573–11584. 89 indexed citations
18.
Barišić, Marin, Paulo Aguiar, Stephan Geley, & Hélder Maiato. (2014). Kinetochore motors drive congression of peripheral polar chromosomes by overcoming random arm-ejection forces. Nature Cell Biology. 16(12). 1249–1256. 116 indexed citations
19.
Silva, Pedro, Júlio Garganta, Duarte Araújo, Keith Davids, & Paulo Aguiar. (2013). Shared Knowledge or Shared Affordances? Insights from an Ecological Dynamics Approach to Team Coordination in Sports. Sports Medicine. 43(9). 765–772. 160 indexed citations
20.
Pais-Vieira, Miguel, Paulo Aguiar, Deolinda Lima, & Vasco Galhardo. (2012). Inflammatory pain disrupts the orbitofrontal neuronal activity and risk-assessment performance in a rodent decision-making task. Pain. 153(8). 1625–1635. 26 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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