Bruno Mota

2.1k total citations
39 papers, 1.3k citations indexed

About

Bruno Mota is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Astronomy and Astrophysics. According to data from OpenAlex, Bruno Mota has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Astronomy and Astrophysics. Recurrent topics in Bruno Mota's work include Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (13 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Bruno Mota is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (13 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Bruno Mota collaborates with scholars based in Brazil, United Kingdom and United States. Bruno Mota's co-authors include Suzana Herculano‐Houzel, Roberto Lent, Lissa Ventura‐Antunes, Jon H. Kaas, M. J. Rebouças, Reza Tavakol, Peiyan Wong, Armando Bernui, Yujiang Wang and Pedro Ribeiro and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Bruno Mota

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Mota Brazil 16 505 263 234 221 165 39 1.3k
Christine E. Collins United States 27 1.1k 2.2× 479 1.8× 272 1.2× 194 0.9× 287 1.7× 61 2.1k
K. V. Anokhin Russia 24 434 0.9× 727 2.8× 552 2.4× 81 0.4× 156 0.9× 136 2.0k
Christian M. Müller Germany 27 474 0.9× 1.1k 4.1× 584 2.5× 74 0.3× 47 0.3× 33 2.3k
Cheryl D. Stimpson United States 20 828 1.6× 486 1.8× 377 1.6× 196 0.9× 417 2.5× 38 1.8k
Ting Yan China 18 383 0.8× 225 0.9× 190 0.8× 115 0.5× 44 0.3× 57 962
Bob Jacobs United States 26 1.2k 2.5× 719 2.7× 348 1.5× 207 0.9× 320 1.9× 58 2.4k
Frank M. Sulzman United States 19 187 0.4× 406 1.5× 269 1.1× 72 0.3× 95 0.6× 52 1.4k
Masaki Sakai Japan 23 369 0.7× 453 1.7× 336 1.4× 46 0.2× 51 0.3× 88 1.6k
Estel Van der Gucht Belgium 16 416 0.8× 293 1.1× 237 1.0× 35 0.2× 119 0.7× 30 997
Rubén Portugues Germany 25 988 2.0× 961 3.7× 706 3.0× 35 0.2× 91 0.6× 47 2.7k

Countries citing papers authored by Bruno Mota

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Mota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Mota

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Mota. A scholar is included among the top collaborators of Bruno Mota 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 Bruno Mota. Bruno Mota 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.
Mota, Bruno, et al.. (2025). Testes em escala laboratorial com um concentrador centrifugo Falcon L40 para a recuperação de ouro livre. DELOS Desarrollo Local Sostenible. 18(64). e4053–e4053.
2.
Chaim, Khallil Taverna, et al.. (2024). Anatomical and volumetric description of the guiana dolphin (Sotalia guianensis) brain from an ultra-high-field magnetic resonance imaging. Brain Structure and Function. 229(8). 1889–1911.
3.
Sherwood, Chet C., et al.. (2024). Folding of the cerebellar cortex is clade‐specific in form but universal in degree. The Journal of Comparative Neurology. 532(4). e25616–e25616. 1 indexed citations
4.
5.
Wang, Yujiang, Christopher R. Madan, Colline Poirier, et al.. (2023). Neuro-evolutionary evidence for a universal fractal primate brain shape. eLife. 12. 2 indexed citations
6.
Tisi, Jane de, John S. Duncan, Peter N. Taylor, et al.. (2023). Effects of anterior temporal lobe resection on cortical morphology. Cortex. 166. 233–242. 1 indexed citations
7.
Mota, Bruno, et al.. (2023). Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity. PLoS ONE. 18(8). e0290743–e0290743. 3 indexed citations
8.
Tovar‐Moll, Fernanda, et al.. (2022). Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study. Frontiers in Neuroscience. 16. 897226–897226. 4 indexed citations
9.
Wang, Yujiang, Gavin P. Winston, Sjoerd B. Vos, et al.. (2020). Independent components of human brain morphology. NeuroImage. 226. 117546–117546. 15 indexed citations
10.
Neves, Kleber, et al.. (2019). The reliability of the isotropic fractionator method for counting total cells and neurons. Journal of Neuroscience Methods. 326. 108392–108392. 13 indexed citations
11.
Wang, Yujiang, et al.. (2016). Universality in human cortical folding in health and disease. Proceedings of the National Academy of Sciences. 113(45). 12820–12825. 28 indexed citations
12.
Mota, Bruno & Suzana Herculano‐Houzel. (2015). Cortical folding scales universally with surface area and thickness, not number of neurons. Science. 349(6243). 74–77. 167 indexed citations
13.
Mota, Bruno & Suzana Herculano‐Houzel. (2014). All brains are made of this: a fundamental building block of brain matter with matching neuronal and glial masses. Frontiers in Neuroanatomy. 8. 127–127. 43 indexed citations
14.
Maldonado, J., et al.. (2014). Cellular scaling rules for the brain of Artiodactyla include a highly folded cortex with few neurons. Frontiers in Neuroanatomy. 8. 128–128. 41 indexed citations
15.
16.
Ventura‐Antunes, Lissa, Bruno Mota, & Suzana Herculano‐Houzel. (2013). Different scaling of white matter volume, cortical connectivity, and gyrification across rodent and primate brains. Frontiers in Neuroanatomy. 7. 3–3. 84 indexed citations
17.
Mota, Bruno & Suzana Herculano‐Houzel. (2012). How the Cortex Gets Its Folds: An Inside-Out, Connectivity-Driven Model for the Scaling of Mammalian Cortical Folding. Frontiers in Neuroanatomy. 6. 3–3. 58 indexed citations
18.
Bernui, Armando, Bruno Mota, M. J. Rebouças, & Reza Tavakol. (2006). Mapping the large-scale anisotropy in the WMAP data. Astronomy and Astrophysics. 464(2). 479–485. 47 indexed citations
19.
Mota, Bruno, M. Makler, & M. J. Rebouças. (2006). Detectability of cosmic topology in generalized Chaplygin gas models. Astronomy and Astrophysics. 446(3). 805–812. 7 indexed citations
20.
Rebouças, M. J., J. S. Alcaniz, Bruno Mota, & Martı́n Makler. (2006). Supernovae observations and cosmic topology. Astronomy and Astrophysics. 452(3). 803–806. 4 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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