Patricia Murtra

13 total papers · 755 total citations
11 papers, 622 citations indexed

About

Patricia Murtra is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Patricia Murtra has authored 11 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Patricia Murtra's work include Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Patricia Murtra is often cited by papers focused on Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Patricia Murtra collaborates with scholars based in Spain, United Kingdom and Switzerland. Patricia Murtra's co-authors include Stephen P. Hunt, Carmen De Felipe, Alexandre Sheasby, Rafaël Maldonado, Fernando Berrendero, Ester Aso, Graciela N. Balerio, Victoria Mendizábal, Brigitte L. Kieffer and Mara Dierssen and has published in prestigious journals such as Nature, Journal of Neuroscience and Molecular and Cellular Biology.

In The Last Decade

Patricia Murtra

11 papers receiving 607 citations

Author Peers

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

Author Last Decade Papers Cites
Patricia Murtra 440 311 174 125 56 11 622
Ruth O’Donnell 605 1.4× 437 1.4× 255 1.5× 53 0.4× 69 1.2× 10 791
Brian M. Kelley 343 0.8× 227 0.7× 86 0.5× 75 0.6× 53 0.9× 22 626
V. Wickson 407 0.9× 224 0.7× 87 0.5× 123 1.0× 86 1.5× 10 595
Nicolas Massaly 406 0.9× 310 1.0× 315 1.8× 107 0.9× 96 1.7× 21 752
Willy L. Bonkale 263 0.6× 231 0.7× 256 1.5× 121 1.0× 75 1.3× 15 593
Julie Meffre 323 0.7× 304 1.0× 195 1.1× 68 0.5× 100 1.8× 13 702
Volker Neugebauer 325 0.7× 185 0.6× 363 2.1× 142 1.1× 64 1.1× 5 575
S.E. Laursen 289 0.7× 218 0.7× 208 1.2× 69 0.6× 48 0.9× 10 587
Beatriz Galán-Rodríguez 385 0.9× 225 0.7× 122 0.7× 234 1.9× 72 1.3× 15 679
Caroline Renard 327 0.7× 212 0.7× 88 0.5× 125 1.0× 56 1.0× 14 721

Countries citing papers authored by Patricia Murtra

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Murtra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Murtra

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Murtra. A scholar is included among the top collaborators of Patricia Murtra 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 Patricia Murtra. Patricia Murtra 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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