Paula Morales

127 total papers · 3.3k total citations
71 papers, 2.4k citations indexed

About

Paula Morales is a scholar working on Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Paula Morales has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pharmacology, 36 papers in Molecular Biology and 27 papers in Cellular and Molecular Neuroscience. Recurrent topics in Paula Morales's work include Cannabis and Cannabinoid Research (37 papers), Neuroscience and Neuropharmacology Research (19 papers) and Pharmacological Receptor Mechanisms and Effects (16 papers). Paula Morales is often cited by papers focused on Cannabis and Cannabinoid Research (37 papers), Neuroscience and Neuropharmacology Research (19 papers) and Pharmacological Receptor Mechanisms and Effects (16 papers). Paula Morales collaborates with scholars based in Spain, United States and United Kingdom. Paula Morales's co-authors include Patricia H. Reggio, Nadine Jagerovic, Dow P. Hurst, Chanté Muller, Pilar Goya, Javier Fernández‐Ruíz, Gemma Navarro, Rafael Franco, Laura Hernández‐Folgado and Carmen Rodríguez‐Cueto and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Paula Morales

66 papers receiving 2.3k citations

Hit Papers

Cannabinoid Ligands Targe... 2017 2026 2020 2023 2019 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Paula Morales 1.7k 794 581 336 231 71 2.4k
Ildikó Rácz 1.2k 0.7× 836 1.1× 528 0.9× 286 0.9× 299 1.3× 51 2.4k
Leyre Mestre 1.7k 1.0× 760 1.0× 591 1.0× 171 0.5× 304 1.3× 57 2.7k
Sachiko Kondo 1.5k 0.9× 661 0.8× 652 1.1× 249 0.7× 251 1.1× 53 2.7k
Geoffrey W. Guy 1.7k 1.0× 460 0.6× 290 0.5× 378 1.1× 281 1.2× 43 2.2k
Fabio Arturo Iannotti 1.5k 0.9× 704 0.9× 877 1.5× 226 0.7× 286 1.2× 71 2.8k
Tomáš Drmota 1.1k 0.7× 753 0.9× 580 1.0× 162 0.5× 224 1.0× 28 1.8k
Gabriella Giagnoni 1.8k 1.0× 1.1k 1.4× 490 0.8× 239 0.7× 312 1.4× 56 2.7k
Daniele De Filippis 2.2k 1.3× 862 1.1× 652 1.1× 506 1.5× 388 1.7× 41 3.3k
Caterina Scuderi 1.6k 1.0× 808 1.0× 742 1.3× 362 1.1× 416 1.8× 62 3.2k
A. Makriyannis 1.6k 0.9× 1.2k 1.5× 387 0.7× 121 0.4× 365 1.6× 52 2.2k

Countries citing papers authored by Paula Morales

Since Specialization
Citations

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

Fields of papers citing papers by Paula Morales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Morales

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