Danielle Rayêe

607 citations
14 papers · 270 · h-index 9

Impact in

Papers in

Danielle Rayêe

13 papers receiving 263 citations

Peers

Danielle Rayêe
Comparison fields: 5 of 75
  • Neurology 47
  • Cellular and Molecular Neuroscience 77
  • Developmental Neuroscience 17
  • Physiology 90
  • Cognitive Neuroscience 64
Replace Alejandro Antón‐Fernández with:
Alejandro Antón‐Fernández Spain
Laura Mahady United States
Justus Schneider Germany
Marta Domínguez-Álvaro Spain
Snežana Ikonomović United States
Wendy Feng United States
Sharon C. Yates Norway
Katharina Stratmann Germany
Kamar E. Ameen‐Ali United Kingdom
Mathieu Charvériat France
Danielle Rayêe relative to Alejandro Antón‐Fernández Spain Alejandro Antón‐Fernández's profile →
Citations per field
00.5×3.3×
Alejandro Antón‐Fernández · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Danielle Rayêe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Rayêe Line = papers co-authored together Danielle Rayêe links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013150
2 202317
3 202016
4 202215
5 201814
6 201914
7 201913
8 20159
9 20219
10 20236
11 20214
12 20182
13 20211
14 20250

About Danielle Rayêe

Danielle Rayêe is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Pediatrics, Perinatology and Child Health and Developmental Neuroscience, having authored 14 papers that have together received 270 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (3 papers), Alzheimer's disease research and treatments (2 papers), Neonatal and fetal brain pathology (2 papers), Photoreceptor and optogenetics research (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Neurology (47 citations), Cellular and Molecular Neuroscience (77 citations), Developmental Neuroscience (17 citations), Physiology (90 citations) and Cognitive Neuroscience (64 citations). Danielle Rayêe has collaborated with scholars based in Brazil, United States and Sweden. Frequent co-authors include Roberto Lent, Diego Szczupak, Daniel Menezes Guimarães, Lea T. Grinberg, Renata Elaine Paraízo Leite, Wilson Jacob Filho, Thiago C. Moulin, Ana V. Oliveira-Pinto, Raúl Rodríguez and Carlos Pasqualucci. Their work appears in journals such as JAMA Network Open, Cerebral Cortex, Journal of Neurochemistry, Neuroscience and RNA Biology.

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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