Fernando Martínez‐Garciá

3.7k total citations
90 papers, 2.6k citations indexed

About

Fernando Martínez‐Garciá is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Social Psychology. According to data from OpenAlex, Fernando Martínez‐Garciá has authored 90 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 38 papers in Sensory Systems and 35 papers in Social Psychology. Recurrent topics in Fernando Martínez‐Garciá's work include Olfactory and Sensory Function Studies (38 papers), Neuroendocrine regulation and behavior (31 papers) and Neurobiology and Insect Physiology Research (26 papers). Fernando Martínez‐Garciá is often cited by papers focused on Olfactory and Sensory Function Studies (38 papers), Neuroendocrine regulation and behavior (31 papers) and Neurobiology and Insect Physiology Research (26 papers). Fernando Martínez‐Garciá collaborates with scholars based in Spain, United Kingdom and Netherlands. Fernando Martínez‐Garciá's co-authors include Enrique Lanuza, Francisco E. Olucha‐Bordonau, Amparo Novejarque, Carmen Agustín‐Pavón, Carlos López‐García, Alino Martínez‐Marcos, Joana Martínez‐Ricós, José Moncho-Bogani, José Martínez Hernández and Marcos Otero‐García and has published in prestigious journals such as PLoS ONE, Trends in Neurosciences and The Journal of Comparative Neurology.

In The Last Decade

Fernando Martínez‐Garciá

89 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando Martínez‐Garciá Spain 32 1.1k 881 783 496 466 90 2.6k
Enrique Lanuza Spain 34 979 0.9× 951 1.1× 824 1.1× 651 1.3× 443 1.0× 82 2.7k
Gilles Gheusi France 29 918 0.9× 698 0.8× 1.1k 1.4× 371 0.7× 344 0.7× 41 3.5k
Hideto Kaba Japan 30 1.3k 1.2× 963 1.1× 1.1k 1.5× 302 0.6× 542 1.2× 123 2.7k
Matthieu Keller France 33 483 0.4× 1.1k 1.3× 728 0.9× 154 0.3× 306 0.7× 155 3.2k
Julie Bakker Belgium 37 573 0.5× 1.4k 1.5× 627 0.8× 170 0.3× 293 0.6× 84 3.6k
Peter Brennan United Kingdom 24 1.6k 1.5× 903 1.0× 2.0k 2.6× 283 0.6× 1.0k 2.2× 63 3.2k
Frank Scalia United States 26 1.6k 1.5× 462 0.5× 869 1.1× 567 1.1× 353 0.8× 52 3.0k
John H. McLean Canada 26 1.1k 1.0× 342 0.4× 764 1.0× 297 0.6× 311 0.7× 41 1.9k
Santiago Segovia Spain 28 555 0.5× 1.1k 1.3× 467 0.6× 289 0.6× 197 0.4× 50 2.4k
Tali Kimchi Israel 20 482 0.4× 666 0.8× 323 0.4× 410 0.8× 177 0.4× 36 1.7k

Countries citing papers authored by Fernando Martínez‐Garciá

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Martínez‐Garciá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Martínez‐Garciá. 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 Fernando Martínez‐Garciá. The network helps show where Fernando Martínez‐Garciá may publish in the future.

Co-authorship network of co-authors of Fernando Martínez‐Garciá

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

All Works

20 of 20 papers shown
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Martínez‐Garciá, Fernando, et al.. (2022). Inhibition of the medial amygdala disrupts escalated aggression in lactating female mice after repeated exposure to male intruders. Communications Biology. 5(1). 980–980. 5 indexed citations
4.
Fabregat‐Safont, David, Fernando Martínez‐Garciá, Marie Mardal, et al.. (2022). In-depth comparison of the metabolic and pharmacokinetic behaviour of the structurally related synthetic cannabinoids AMB-FUBINACA and AMB-CHMICA in rats. Communications Biology. 5(1). 161–161. 6 indexed citations
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Ibáñez, M. Victoria, et al.. (2022). Becoming a Mother. Pregnancy Shifts the Activity of the Social and Motivation Brain Networks in Female Mice. SSRN Electronic Journal. 1 indexed citations
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Fabregat‐Safont, David, Félix Hernández, Fernando Martínez‐Garciá, et al.. (2020). Understanding the pharmacokinetics of synthetic cathinones: Evaluation of the blood–brain barrier permeability of 13 related compounds in rats. Addiction Biology. 26(3). e12979–e12979. 10 indexed citations
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Fabregat‐Safont, David, et al.. (2017). Proposal of 5-methoxy- N -methyl- N -isopropyltryptamine consumption biomarkers through identification of in vivo metabolites from mice. Journal of Chromatography A. 1508. 95–105. 19 indexed citations
9.
Sánchez-Catalán, María José, Alejandro Orrico‐Sánchez, Lucía Hipólito, et al.. (2017). Glutamate and Opioid Antagonists Modulate Dopamine Levels Evoked by Innately Attractive Male Chemosignals in the Nucleus Accumbens of Female Rats. Frontiers in Neuroanatomy. 11. 8–8. 5 indexed citations
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Lanuza, Enrique, et al.. (2016). Tuning the brain for motherhood: prolactin-like central signalling in virgin, pregnant, and lactating female mice. Brain Structure and Function. 222(2). 895–921. 46 indexed citations
11.
Otero‐García, Marcos, Carmen Agustín‐Pavón, Enrique Lanuza, & Fernando Martínez‐Garciá. (2015). Distribution of oxytocin and co-localization with arginine vasopressin in the brain of mice. Brain Structure and Function. 221(7). 3445–3473. 51 indexed citations
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Lanuza, Enrique, et al.. (2013). Of Pheromones and Kairomones: What Receptors Mediate Innate Emotional Responses?. The Anatomical Record. 296(9). 1346–1363. 47 indexed citations
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Martínez‐Garciá, Fernando, Luis Puelles, Hans J. ten Donkelaar, & Agustı́n González. (2012). Adaptive Function and Brain Evolution. Frontiers in Neuroanatomy. 6. 17–17. 4 indexed citations
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Moncho-Bogani, José, et al.. (2004). Attraction to male pheromones and sexual behaviour show different regulatory mechanisms in female mice. Physiology & Behavior. 81(3). 427–434. 34 indexed citations
16.
Martínez‐Marcos, Alino, Enrique Lanuza, & Fernando Martínez‐Garciá. (2002). Retinal ganglion cells projecting to the optic tectum and visual thalamus of lizards. Visual Neuroscience. 19(5). 575–581. 4 indexed citations
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Martínez‐Garciá, Fernando, et al.. (1995). Callosal neurones give rise to zinc-rich boutons in the rat visual cortex. Neuroreport. 6(3). 497–500. 24 indexed citations
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Martínez‐Garciá, Fernando, et al.. (1993). Fiber Connections of the Amygdaloid Formation of the Lizard <i>Podarcis hispanica</i>. Brain Behavior and Evolution. 41(3-5). 156–162. 34 indexed citations
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Martínez‐Garciá, Fernando, et al.. (1991). Afferent and efferent connections of the olfactory bulbs in the lizard Podarcis hispanica. The Journal of Comparative Neurology. 305(2). 337–347. 68 indexed citations
20.
Teruel‐Martí, Vicent, et al.. (1990). The GABAergic system of the dorsal cortex of lizards: A combined HRP-GABA immunohistochemistry study. Neuroscience Letters. 109(1-2). 13–17. 10 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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