Débora Amado

62 papers receiving 1.3k citations

Peers

Débora Amado
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 639
  • Psychiatry and Mental health 368
  • Developmental Neuroscience 90
  • Endocrine and Autonomic Systems 127
  • Pediatrics, Perinatology and Child Health 281
Replace Maria José da Silva Fernandes with:
Maria José da Silva Fernandes Brazil
Russell M. Sanchez United States
Gregory C. Mathews United States
Wendy A. Pouliot United States
Kim L. Powell Australia
Marc L. Zeise Chile
И. А. Журавин Russia
Liu Lin Thio United States
Rezzan Aker Türkiye
Kiyoshi Morimoto Japan
Débora Amado relative to Maria José da Silva Fernandes Brazil Maria José da Silva Fernandes's profile →
Citations per field
00.5×1.5×2.3×
Maria José da Silva Fernandes · 1×
Citations per year

Countries citing papers authored by Débora Amado

Since Specialization
Citations

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

Fields of papers citing papers by Débora Amado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Débora Amado, 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 Débora Amado Line = papers co-authored together Débora Amado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009142
2 2001132
3 201661
4 199854
5 200852
6 200549
7 200848
8 200248
9 200447
10 199342
11 201338
12 200637
13 199935
14 201131
15 201230
16 201028
17 200226
18 201024
19 199621
20 200920

About Débora Amado

Débora Amado is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Molecular Biology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (29 papers), Epilepsy research and treatment (19 papers), Pharmacological Effects and Toxicity Studies (13 papers), Circadian rhythm and melatonin (8 papers), Neonatal and fetal brain pathology (6 papers), Sleep and Wakefulness Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (639 citations), Psychiatry and Mental health (368 citations), Developmental Neuroscience (90 citations), Endocrine and Autonomic Systems (127 citations) and Pediatrics, Perinatology and Child Health (281 citations). Débora Amado has collaborated with scholars based in Brazil, Italy and Cuba. Frequent co-authors include Ésper A. Cavalheiro, Maria da Graça Naffah‐Mazzacoratti, Fúlvio A. Scorza, Ricardo Mário Arida, Lineu Calderazzo, Dulcinéia Saes Parra Abdalla, Maria Ines Bellissimo, Sandra Regina Perosa, Francisco Romero Cabral and Marina Bentivoglio. Their work appears in journals such as Epilepsy Research, Epilepsy & Behavior, Brain Research, Epilepsia and Anais da Academia Brasileira de Ciências.

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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