Danielle Rayêe

607 total citations
14 papers, 270 citations indexed

About

Danielle Rayêe is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Danielle Rayêe has authored 14 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Danielle Rayêe's work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (3 papers) and Neonatal and fetal brain pathology (2 papers). Danielle Rayêe is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (3 papers) and Neonatal and fetal brain pathology (2 papers). Danielle Rayêe collaborates with scholars based in Brazil, United States and Russia. Danielle Rayêe's co-authors include Roberto Lent, Diego Szczupak, Daniel Menezes Guimarães, Wilson Jacob Filho, Renata Elaine Paraízo Leite, Ana V. Oliveira-Pinto, Thiago C. Moulin, Lea T. Grinberg, Carlos Pasqualucci and Leandro Machado Oliveira and has published in prestigious journals such as Brain, Neuroscience and Journal of Neurochemistry.

In The Last Decade

Danielle Rayêe

13 papers receiving 263 citations

Peers

Danielle Rayêe
Wendy Feng United States
Danielle Rayêe
Citations per year, relative to Danielle Rayêe Danielle Rayêe (= 1×) peers Wendy Feng

Countries citing papers authored by Danielle Rayêe

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Rayêe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Rayêe

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Rayêe. A scholar is included among the top collaborators of Danielle Rayêe 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 Danielle Rayêe. Danielle Rayêe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Rayêe, Danielle, U. Thomas Meier, Carolina Eliscovich, & Aleš Cvekl. (2025). Nucleolar ribosomal RNA synthesis continues in differentiating lens fiber cells until abrupt nuclear degradation required for ocular lens transparency. RNA Biology. 22(1). 1–16.
2.
Chang, William K., Yilin Zhao, Danielle Rayêe, et al.. (2023). Dynamic changes in whole genome DNA methylation, chromatin and gene expression during mouse lens differentiation. Epigenetics & Chromatin. 16(1). 4–4. 17 indexed citations
3.
Carneiro, Clarissa F. D., Kleber Neves, Danielle Rayêe, et al.. (2023). Characterization of Comments About bioRxiv and medRxiv Preprints. JAMA Network Open. 6(8). e2331410–e2331410. 6 indexed citations
4.
Szczupak, Diego, Danielle Rayêe, Cirong Liu, et al.. (2022). The relevance of heterotopic callosal fibers to interhemispheric connectivity of the mammalian brain. Cerebral Cortex. 33(8). 4752–4760. 15 indexed citations
5.
Moulin, Thiago C., et al.. (2021). Dendritic spine density changes and homeostatic synaptic scaling: a meta-analysis of animal studies. Neural Regeneration Research. 17(1). 20–20. 9 indexed citations
6.
Rayêe, Danielle, et al.. (2021). The Dynamics of Axon Bifurcation Development in the Cerebral Cortex of Typical and Acallosal Mice. Neuroscience. 477. 14–24. 4 indexed citations
7.
Rayêe, Danielle, et al.. (2021). Microcephaly gene Cenpj regulates axonal growth in cortical neurons through microtubule destabilization. Journal of Neurochemistry. 161(4). 320–334. 1 indexed citations
8.
Moulin, Thiago C., Danielle Rayêe, Michael J. Williams, & Helgi B. Schiöth. (2020). The Synaptic Scaling Literature: A Systematic Review of Methodologies and Quality of Reporting. Frontiers in Cellular Neuroscience. 14. 164–164. 16 indexed citations
9.
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
10.
11.
Rayêe, Danielle, Diego Szczupak, Andrea Moura Rodrigues Maciel da Fonseca, et al.. (2018). Perinatal Asphyxia and Brain Development: Mitochondrial Damage Without Anatomical or Cellular Losses. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1859. e75–e75. 2 indexed citations
12.
Rayêe, Danielle, Diego Szczupak, Anna Carolina Carvalho da Fonseca, et al.. (2018). Perinatal Asphyxia and Brain Development: Mitochondrial Damage Without Anatomical or Cellular Losses. Molecular Neurobiology. 55(11). 8668–8679. 14 indexed citations
13.
Oliveira-Pinto, Ana V., Danielle Rayêe, Renata Elaine Paraízo Leite, et al.. (2015). Do age and sex impact on the absolute cell numbers of human brain regions?. Brain Structure and Function. 221(7). 3547–3559. 9 indexed citations
14.
Oliveira-Pinto, Ana V., Daniel Menezes Guimarães, Diego Szczupak, et al.. (2013). Cell number changes in Alzheimer's disease relate to dementia, not to plaques and tangles. Brain. 136(12). 3738–3752. 150 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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