Guadalupe Rivero

658 citations
23 papers · 523 indexed · h-index 12
Topics
Receptor Mechanisms and Signaling (10 papers)Neuroscience and Neuropharmacology Research (7 papers)Tryptophan and brain disorders (6 papers)

In The Last Decade

Guadalupe Rivero

21 papers receiving 516 citations

Peers

Guadalupe Rivero
Comparison fields: 5 of 62
  • Molecular Biology 365
  • Cellular and Molecular Neuroscience 363
  • Physiology 108
  • Pharmacology 38
  • Biological Psychiatry 35
Replace Aliza T. Ehrlich with:
Aliza T. Ehrlich Canada
Pernilla Fagergren Sweden
Vu C. Dang United States
Ana Vicente‐Sánchez Spain
Caroline Beaufour France
Kate E. Gilling Germany
Selena S. Schattauer United States
Begoña Fernández‐Pastor Spain
Allison L. Germann United States
Uta Riechert Germany
Guadalupe Rivero relative to Aliza T. Ehrlich Canada Aliza T. Ehrlich's profile →
Citations per field
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Aliza T. Ehrlich · 1×
Citations per year

Countries citing papers authored by Guadalupe Rivero

Since Specialization
Citations

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

Fields of papers citing papers by Guadalupe Rivero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guadalupe Rivero

This figure shows the co-authorship network connecting the top 25 collaborators of Guadalupe Rivero. A scholar is included among the top collaborators of Guadalupe Rivero 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 Guadalupe Rivero. Guadalupe Rivero 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
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 5
6 11
7 15
8 17
9 1
10 9
11 7
12 13
13 86
14 25
15 12
16 11
17 9
18 42
19 1
20 11

About Guadalupe Rivero

Guadalupe Rivero is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 523 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Tryptophan and brain disorders (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (363 citations), Biological Psychiatry (35 citations) and Behavioral Neuroscience (27 citations). Guadalupe Rivero has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include J. Javier Meana, Eamonn Kelly, Graeme Henderson, Jamie McPherson, Javier Llorente, Christopher Bailey, Cornelius Krasel, Elizabeth M. Rosethorne, Steven J. Charlton and Romano La Harpe. Their work appears in journals such as Neuroscience, Science Advances and Molecular Pharmacology.

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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