Inés Ibarra‐Lecue

464 total citations
10 papers, 263 citations indexed

About

Inés Ibarra‐Lecue is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Inés Ibarra‐Lecue has authored 10 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Inés Ibarra‐Lecue's work include Cannabis and Cannabinoid Research (7 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Inés Ibarra‐Lecue is often cited by papers focused on Cannabis and Cannabinoid Research (7 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Inés Ibarra‐Lecue collaborates with scholars based in Spain, Colombia and United States. Inés Ibarra‐Lecue's co-authors include Leyre Urigüen, Luís F. Callado, Rebeca Dı́ez-Alarcia, J. Javier Meana, Ekaitz Agirregoitia, Irene Mollinedo-Gajate, Alfonso Gutiérrez‐Adán, Angela Patricia López‐Cardona, Ángel Pazos and Carolina Muguruza and has published in prestigious journals such as Neuropsychopharmacology, Biochemical Pharmacology and Fertility and Sterility.

In The Last Decade

Inés Ibarra‐Lecue

10 papers receiving 263 citations

Peers

Inés Ibarra‐Lecue
Antônio Carlos de Oliveira Brazil
Jeremy J. Watts Canada
Neal Joshi United States
Franciele Franco Scarante Brazil
Nicole Rodrigues da Silva Brazil
Stephen Ra United States
Ashleigh L. Osborne Australia
Angelo Casu Italy
Kate Z. Peters United Kingdom
Alexander Wong Australia
Antônio Carlos de Oliveira Brazil
Inés Ibarra‐Lecue
Citations per year, relative to Inés Ibarra‐Lecue Inés Ibarra‐Lecue (= 1×) peers Antônio Carlos de Oliveira

Countries citing papers authored by Inés Ibarra‐Lecue

Since Specialization
Citations

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

Fields of papers citing papers by Inés Ibarra‐Lecue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inés Ibarra‐Lecue. 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 Inés Ibarra‐Lecue. The network helps show where Inés Ibarra‐Lecue may publish in the future.

Co-authorship network of co-authors of Inés Ibarra‐Lecue

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

All Works

10 of 10 papers shown
1.
Ibarra‐Lecue, Inés, Igor Horrillo, J. Javier Meana, et al.. (2023). Isolation and Differentiation of Neurons and Glial Cells from Olfactory Epithelium in Living Subjects. Molecular Neurobiology. 60(8). 4472–4487. 5 indexed citations
2.
Ibarra‐Lecue, Inés, Saskia Haegens, & Alexander Z. Harris. (2022). Breaking Down a Rhythm: Dissecting the Mechanisms Underlying Task-Related Neural Oscillations. Frontiers in Neural Circuits. 16. 846905–846905. 10 indexed citations
3.
Ibarra‐Lecue, Inés, Igor Horrillo, J. Javier Meana, et al.. (2022). Cannabis use selectively modulates circulating biomarkers in the blood of schizophrenia patients. Addiction Biology. 27(6). e13233–e13233. 11 indexed citations
4.
Ibarra‐Lecue, Inés, Rebeca Dı́ez-Alarcia, & Leyre Urigüen. (2021). Serotonin 2A receptors and cannabinoids. Progress in brain research. 135–175. 8 indexed citations
5.
Ibarra‐Lecue, Inés, Rebeca Dı́ez-Alarcia, Benito Morentín, et al.. (2020). Ribosomal Protein S6 Hypofunction in Postmortem Human Brain Links mTORC1-Dependent Signaling and Schizophrenia. Frontiers in Pharmacology. 11. 344–344. 23 indexed citations
6.
Ibarra‐Lecue, Inés, Irene Mollinedo-Gajate, J. Javier Meana, et al.. (2018). Chronic cannabis promotes pro-hallucinogenic signaling of 5-HT2A receptors through Akt/mTOR pathway. Neuropsychopharmacology. 43(10). 2028–2035. 57 indexed citations
7.
Ibarra‐Lecue, Inés, Fuencisla Pilar-Cuéllar, Carolina Muguruza, et al.. (2018). The endocannabinoid system in mental disorders: Evidence from human brain studies. Biochemical Pharmacology. 157. 97–107. 59 indexed citations
8.
López‐Cardona, Angela Patricia, Inés Ibarra‐Lecue, Ricardo Laguna‐Barraza, et al.. (2018). Effect of chronic THC administration in the reproductive organs of male mice, spermatozoa and in vitro fertilization. Biochemical Pharmacology. 157. 294–303. 11 indexed citations
9.
Dı́ez-Alarcia, Rebeca, Inés Ibarra‐Lecue, Angela Patricia López‐Cardona, et al.. (2016). Biased Agonism of Three Different Cannabinoid Receptor Agonists in Mouse Brain Cortex. Frontiers in Pharmacology. 7. 415–415. 62 indexed citations
10.
Agirregoitia, Ekaitz, Inés Ibarra‐Lecue, Rosario Mendoza, et al.. (2015). Dynamics of expression and localization of the cannabinoid system in granulosa cells during oocyte nuclear maturation. Fertility and Sterility. 104(3). 753–760. 17 indexed citations

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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