Aderbal S. Aguiar

2.7k total citations
71 papers, 2.0k citations indexed

About

Aderbal S. Aguiar is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Aderbal S. Aguiar has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 20 papers in Neurology and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Aderbal S. Aguiar's work include Adipose Tissue and Metabolism (20 papers), Parkinson's Disease Mechanisms and Treatments (19 papers) and Nerve injury and regeneration (11 papers). Aderbal S. Aguiar is often cited by papers focused on Adipose Tissue and Metabolism (20 papers), Parkinson's Disease Mechanisms and Treatments (19 papers) and Nerve injury and regeneration (11 papers). Aderbal S. Aguiar collaborates with scholars based in Brazil, France and Portugal. Aderbal S. Aguiar's co-authors include Rui Daniel Prediger, Alexandra Latini, Ricardo A. Pinho, Ana Elisa Speck, Rita Raisman‐Vozari, Eduardo Luiz Gasnhar Moreira, Adair R.S. Santos, Roger Walz, Filipe C. Matheus and Carla I. Tasca and has published in prestigious journals such as PLoS ONE, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Aderbal S. Aguiar

69 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aderbal S. Aguiar Brazil 29 572 532 467 441 240 71 2.0k
Nazan Uysal Türkiye 30 492 0.9× 321 0.6× 222 0.5× 401 0.9× 211 0.9× 81 2.3k
Jih‐Ing Chuang Taiwan 26 489 0.9× 568 1.1× 228 0.5× 658 1.5× 196 0.8× 41 2.3k
Małgorzata Chalimoniuk Poland 28 871 1.5× 729 1.4× 529 1.1× 850 1.9× 573 2.4× 100 2.9k
Di Ma China 24 862 1.5× 399 0.8× 166 0.4× 875 2.0× 385 1.6× 82 2.6k
Mal‐Soon Shin South Korea 34 621 1.1× 705 1.3× 400 0.9× 603 1.4× 555 2.3× 114 3.3k
Chauying J. Jen Taiwan 29 699 1.2× 430 0.8× 162 0.3× 414 0.9× 289 1.2× 64 2.4k
Il‐Gyu Ko South Korea 26 393 0.7× 432 0.8× 229 0.5× 436 1.0× 357 1.5× 103 2.2k
Maria da Graça Naffah‐Mazzacoratti Brazil 33 449 0.8× 1.3k 2.4× 255 0.5× 774 1.8× 265 1.1× 109 2.9k
Pascale Schumann‐Bard France 22 503 0.9× 736 1.4× 342 0.7× 813 1.8× 1.0k 4.3× 39 3.2k
Valentine Bouët France 26 576 1.0× 793 1.5× 253 0.5× 773 1.8× 851 3.5× 58 3.0k

Countries citing papers authored by Aderbal S. Aguiar

Since Specialization
Citations

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

Fields of papers citing papers by Aderbal S. Aguiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aderbal S. Aguiar

This figure shows the co-authorship network connecting the top 25 collaborators of Aderbal S. Aguiar. A scholar is included among the top collaborators of Aderbal S. 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 Aderbal S. Aguiar. Aderbal S. 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.
Aguiar, Aderbal S., et al.. (2025). Impact of CB1 receptor antagonism on skeletal muscle hypertrophy and metabolic health: a systematic review of preclinical studies. HORMONES. 24(2). 295–306. 1 indexed citations
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Speck, Ana Elisa, Hémelin Resende Farias, Jade de Oliveira, et al.. (2023). The striatum drives the ergogenic effects of caffeine. Purinergic Signalling. 19(4). 673–683. 3 indexed citations
5.
Aguiar, Aderbal S., et al.. (2023). Caffeine plus haloperidol reduces fatigue in an experimental model of Parkinson's disease – a prospective to A2AR-D2R heterodimer antagonism. Purinergic Signalling. 20(1). 29–34. 4 indexed citations
6.
Aguiar, Aderbal S., Ana Elisa Speck, Paula M. Canas, & Rodrigo A. Cunha. (2021). Deletion of CD73 increases exercise power in mice. Purinergic Signalling. 17(3). 393–397. 6 indexed citations
7.
Koltai, Erika, Katsuhiko Suzuki, Aderbal S. Aguiar, et al.. (2020). Exercise, redox system and neurodegenerative diseases. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(10). 165778–165778. 59 indexed citations
8.
Speck, Ana Elisa, Jocemar Ilha, Daniel Fernandes Martins, et al.. (2019). Functional Recovery Occurs Even After Partial Remyelination of Axon-Meshed Median and Ulnar Nerves in Mice. Neurochemical Research. 44(9). 2230–2236. 1 indexed citations
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10.
Martins, Roberta de Paula, et al.. (2017). Neopterin preconditioning prevents inflammasome activation in mammalian astrocytes. Free Radical Biology and Medicine. 115. 371–382. 38 indexed citations
11.
Ghisoni, Karina, Aderbal S. Aguiar, Paulo Alexandre de Oliveira, et al.. (2016). Neopterin acts as an endogenous cognitive enhancer. Brain Behavior and Immunity. 56. 156–164. 22 indexed citations
12.
Speck, Ana Elisa, et al.. (2014). The Dose-Dependent Antioxidant Effects of Physical Exercise in the Hippocampus of Mice. Neurochemical Research. 39(8). 1496–1501. 15 indexed citations
13.
Moreira, Eduardo Luiz Gasnhar, Aderbal S. Aguiar, Cristiane Ribeiro de Carvalho, et al.. (2013). Effects of lifestyle modifications on cognitive impairments in a mouse model of hypercholesterolemia. Neuroscience Letters. 541. 193–198. 14 indexed citations
14.
Aguiar, Aderbal S., Fabrine Sales Massafera Tristão, Majid Amar, et al.. (2013). Six Weeks of Voluntary Exercise don’t Protect C57BL/6 Mice Against Neurotoxicity of MPTP and MPP+. Neurotoxicity Research. 25(2). 147–152. 22 indexed citations
15.
Ramond, Francis, Aderbal S. Aguiar, Caroline Chevarin, et al.. (2012). RNA splicing and editing modulation of 5-HT2C receptor function: relevance to anxiety and aggression in VGV mice. Molecular Psychiatry. 18(6). 656–665. 67 indexed citations
16.
Aguiar, Aderbal S., Adalberto A. Castro, Eduardo Luiz Gasnhar Moreira, et al.. (2011). Short bouts of mild-intensity physical exercise improve spatial learning and memory in aging rats: Involvement of hippocampal plasticity via AKT, CREB and BDNF signaling. Mechanisms of Ageing and Development. 132(11-12). 560–567. 209 indexed citations
17.
Prediger, Rui Daniel, Argelia E. Rojas-Mayorquín, Aderbal S. Aguiar, et al.. (2011). Mice with genetic deletion of the heparin-binding growth factor midkine exhibit early preclinical features of Parkinson’s disease. Journal of Neural Transmission. 118(8). 1215–1225. 29 indexed citations
18.
Prediger, Rui Daniel, Aderbal S. Aguiar, Filipe C. Matheus, et al.. (2011). Intranasal Administration of Neurotoxicants in Animals: Support for the Olfactory Vector Hypothesis of Parkinson’s Disease. Neurotoxicity Research. 21(1). 90–116. 65 indexed citations
19.
Aguiar, Aderbal S., Daniel Rial, Fabiano Mendes de Córdova, et al.. (2010). High-intensity physical exercise disrupts implicit memory in mice: involvement of the striatal glutathione antioxidant system and intracellular signaling. Neuroscience. 171(4). 1216–1227. 46 indexed citations
20.
Prediger, Rui Daniel, Aderbal S. Aguiar, Argelia E. Rojas-Mayorquín, et al.. (2009). Single Intranasal Administration of 1-Methyl-4-Phenyl-1,2,3,6-Tetrahydropyridine in C57BL/6 Mice Models Early Preclinical Phase of Parkinson’s Disease. Neurotoxicity Research. 17(2). 114–129. 96 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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