Raquel E. Rodrı́guez

2.6k citations
89 papers · 2.1k · h-index 26

Impact in

Papers in

Raquel E. Rodrı́guez

87 papers receiving 2.1k citations

Peers

Raquel E. Rodrı́guez
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 915
  • Cell Biology 325
  • Immunology and Allergy 108
  • Endocrine and Autonomic Systems 102
  • Physiology 388
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Kevin M. Walton United States
Nigel P. Birch New Zealand
Ada De Luigi Italy
Neville Marks United States
Izumi Hide Japan
Alexey G. Ryazanov United States
Nobuaki Okumura Japan
Sı́lvio M. Zanata Brazil
Anant B. Parekh United Kingdom
Guylain Boulay Canada
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Citations per field
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Citations per year

Countries citing papers authored by Raquel E. Rodrı́guez

Since Specialization
Citations

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

Fields of papers citing papers by Raquel E. Rodrı́guez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raquel E. Rodrı́guez. 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 Raquel E. Rodrı́guez. The network helps show where Raquel E. Rodrı́guez may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988185
2 1994148
3 1994106
4 1996100
5 201093
6 200957
7 200055
8 199847
9 198242
10 200041
11 200740
12 198940
13 200639
14 200838
15 200636
16 201435
17 200934
18 201233
19 201629
20 198629

About Raquel E. Rodrı́guez

Raquel E. Rodrı́guez is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cell Biology and Cancer Research, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (48 papers), Receptor Mechanisms and Signaling (35 papers), Pain Mechanisms and Treatments (13 papers), Zebrafish Biomedical Research Applications (13 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), MicroRNA in disease regulation (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroendocrine regulation and behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (915 citations), Cell Biology (325 citations), Immunology and Allergy (108 citations), Endocrine and Autonomic Systems (102 citations) and Physiology (388 citations). Raquel E. Rodrı́guez has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Verónica González-Núñez, Enrique Blázquez, R.G. Hill, Joel W. Hughes, Rogelio González‐Sarmiento, G.E. Leighton, Alejandro Barrallo‐Gimeno, Ezequiel Marrón Fernández de Velasco, Mayte Villalba and Ping‐Yee Law. Their work appears in journals such as Neuropeptides, Neuroscience, PLoS ONE, Hormone and Metabolic Research and Journal of Molecular Endocrinology.

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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