Rosa Redolat

76 total papers · 1.0k total citations
57 papers, 799 citations indexed

About

Rosa Redolat is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Rosa Redolat has authored 57 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 16 papers in Molecular Biology. Recurrent topics in Rosa Redolat's work include Neurotransmitter Receptor Influence on Behavior (15 papers), Stress Responses and Cortisol (14 papers) and Nicotinic Acetylcholine Receptors Study (14 papers). Rosa Redolat is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (15 papers), Stress Responses and Cortisol (14 papers) and Nicotinic Acetylcholine Receptors Study (14 papers). Rosa Redolat collaborates with scholars based in Spain, United States and United Kingdom. Rosa Redolat's co-authors include M.C. Carrasco, Patricia Mesa‐Gresa, Paloma Vicens, Jose Vidal, Sacramento Pinazo Hernandis, Antonio Víctor Martín‐García, Inés Moragrega, Paul F. Brain, V M SIMON and Carmen Carrasco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychopharmacology and International Journal of Environmental Research and Public Health.

In The Last Decade

Rosa Redolat

54 papers receiving 774 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rosa Redolat 283 224 219 211 198 57 799
Geison Souza Izídio 419 1.5× 188 0.8× 204 0.9× 153 0.7× 290 1.5× 41 975
Leena A. Hilakivi 462 1.6× 134 0.6× 252 1.2× 156 0.7× 213 1.1× 28 793
Yosuke Matsumoto 240 0.8× 136 0.6× 356 1.6× 216 1.0× 120 0.6× 57 1.0k
Paweł M. Boguszewski 348 1.2× 313 1.4× 351 1.6× 225 1.1× 307 1.6× 35 1.0k
Mary E. Cain 590 2.1× 156 0.7× 292 1.3× 166 0.8× 261 1.3× 44 895
Marília Barros 302 1.1× 286 1.3× 415 1.9× 182 0.9× 163 0.8× 63 1.0k
Sandra V. Vellucci 458 1.6× 160 0.7× 278 1.3× 166 0.8× 269 1.4× 25 891
Maurice G. King 291 1.0× 185 0.8× 177 0.8× 176 0.8× 193 1.0× 40 736
Alexandra Barbelivien 385 1.4× 349 1.6× 158 0.7× 158 0.7× 196 1.0× 33 791
Jo Seggie 237 0.8× 176 0.8× 204 0.9× 107 0.5× 325 1.6× 49 1.0k

Countries citing papers authored by Rosa Redolat

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Redolat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Redolat

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Redolat. A scholar is included among the top collaborators of Rosa Redolat 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 Rosa Redolat. Rosa Redolat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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