Rebeca Vidal

1.9k citations
40 papers · 1.4k · h-index 21

Impact in

Papers in

Rebeca Vidal

38 papers receiving 1.4k citations

Peers

Rebeca Vidal
Comparison fields: 5 of 89
  • Biological Psychiatry 231
  • Behavioral Neuroscience 125
  • Cellular and Molecular Neuroscience 494
  • Pharmacology 374
  • Developmental Neuroscience 85
Replace Ni Fan with:
Ni Fan China
Brittany L. Mason United States
Yung-yu Huang United States
Ellen B. Geller United States
Rafael Ochoa‐Sanchez Canada
Ana Belén López-Rodríguez Spain
Jordan McAfoose Switzerland
Chisato Wakabayashi Japan
Philippe De Witte Belgium
Heather Davis United States
Rebeca Vidal relative to Ni Fan China Ni Fan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rebeca Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Rebeca Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015229
2 2013123
3 2007112
4 201478
5 201171
6 200957
7 200952
8 201150
9 201547
10 201346
11 201645
12 201144
13 202141
14 201341
15 201429
16 201829
17 201428
18 201727
19 202427
20 201826

About Rebeca Vidal

Rebeca Vidal is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry, Molecular Biology, Developmental Neuroscience and Pharmacology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Tryptophan and brain disorders (9 papers), Nerve injury and regeneration (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Down syndrome and intellectual disability research (4 papers), Stress Responses and Cortisol (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Biological Psychiatry (231 citations), Behavioral Neuroscience (125 citations), Cellular and Molecular Neuroscience (494 citations), Pharmacology (374 citations) and Developmental Neuroscience (85 citations). Rebeca Vidal has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Ángel Pazos, Fuencisla Pilar-Cuéllar, Álvaro Díaz, Elena Castro, Elsa M. Valdizán, Raquel Linge, Leticia Campa, Albert Adell, Laura Jiménez-Sánchez and Noemı́ Rueda. Their work appears in journals such as Neuropharmacology, Molecular Neurobiology, British Journal of Pharmacology, Current Pharmaceutical Design and Translational Psychiatry.

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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