Mario Martín‐Fernández

1.3k total citations
8 papers, 718 citations indexed

About

Mario Martín‐Fernández is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Mario Martín‐Fernández has authored 8 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 3 papers in Cognitive Neuroscience and 3 papers in Neurology. Recurrent topics in Mario Martín‐Fernández's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Memory and Neural Mechanisms (2 papers). Mario Martín‐Fernández is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Memory and Neural Mechanisms (2 papers). Mario Martín‐Fernández collaborates with scholars based in Spain, United States and France. Mario Martín‐Fernández's co-authors include Alfonso Araque, Gertrudis Perea, Stephanie Jamison, E. Martin, Laurie M. Robin, Giovanni Marsicano, Michael A. Benneyworth, Juan Aguilar, Zhe Zhao and Sara Mederos and has published in prestigious journals such as Nature, Nature Neuroscience and Cerebral Cortex.

In The Last Decade

Mario Martín‐Fernández

8 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Martín‐Fernández Spain 7 530 331 244 149 100 8 718
Sónia Guerra‐Gomes Portugal 13 436 0.8× 346 1.0× 157 0.6× 202 1.4× 115 1.1× 16 784
Tim S. Heistek Netherlands 16 548 1.0× 169 0.5× 372 1.5× 234 1.6× 174 1.7× 27 917
Justin Lines United States 7 410 0.8× 270 0.8× 191 0.8× 114 0.8× 82 0.8× 14 566
Ana Covelo United States 12 790 1.5× 479 1.4× 308 1.3× 222 1.5× 214 2.1× 21 1.1k
Caitlin A. Durkee United States 8 347 0.7× 241 0.7× 154 0.6× 148 1.0× 79 0.8× 8 628
Alex H. Babayan United States 14 641 1.2× 152 0.5× 355 1.5× 311 2.1× 127 1.3× 18 1.1k
Arianna Rinaldi Italy 16 374 0.7× 150 0.5× 229 0.9× 301 2.0× 62 0.6× 26 833
Jonas‐Frederic Sauer Germany 13 511 1.0× 146 0.4× 487 2.0× 155 1.0× 95 0.9× 25 844
Ron Refaeli Israel 7 428 0.8× 280 0.8× 252 1.0× 103 0.7× 77 0.8× 10 639
Steven A. Connor Canada 16 565 1.1× 158 0.5× 259 1.1× 377 2.5× 100 1.0× 22 879

Countries citing papers authored by Mario Martín‐Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Mario Martín‐Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Martín‐Fernández. 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 Mario Martín‐Fernández. The network helps show where Mario Martín‐Fernández may publish in the future.

Co-authorship network of co-authors of Mario Martín‐Fernández

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

All Works

8 of 8 papers shown
1.
Martín‐Fernández, Mario, et al.. (2023). Prefrontal circuits encode both general danger and specific threat representations. Nature Neuroscience. 26(12). 2147–2157. 5 indexed citations
2.
Jercog, Daniel, Mario Martín‐Fernández, Julien Courtin, et al.. (2021). Dynamical prefrontal population coding during defensive behaviours. Nature. 595(7869). 690–694. 43 indexed citations
3.
Mederos, Sara, Alicia Hernández‐Vivanco, Jorge Ramírez‐Franco, et al.. (2019). Melanopsin for precise optogenetic activation of astrocyte‐neuron networks. Glia. 67(5). 915–934. 80 indexed citations
4.
Martín‐Fernández, Mario, Stephanie Jamison, Laurie M. Robin, et al.. (2017). Synapse-specific astrocyte gating of amygdala-related behavior. Nature Neuroscience. 20(11). 1540–1548. 235 indexed citations
5.
Gómez‐Gonzalo, Marta, Mario Martín‐Fernández, Ricardo Martı́nez-Murillo, et al.. (2017). Neuron–astrocyte signaling is preserved in the aging brain. Glia. 65(4). 569–580. 94 indexed citations
6.
Perea, Gertrudis, Ricardo Gómez, Sara Mederos, et al.. (2016). Activity-dependent switch of GABAergic inhibition into glutamatergic excitation in astrocyte-neuron networks. eLife. 5. 139 indexed citations
7.
Gómez‐Gonzalo, Marta, Marta Navarrete, Gertrudis Perea, et al.. (2014). Endocannabinoids Induce Lateral Long-Term Potentiation of Transmitter Release by Stimulation of Gliotransmission. Cerebral Cortex. 25(10). 3699–3712. 103 indexed citations
8.
Ríos‐Marco, Pablo, Mario Martín‐Fernández, Isabel Soria‐Bretones, et al.. (2013). Alkylphospholipids deregulate cholesterol metabolism and induce cell-cycle arrest and autophagy in U-87 MG glioblastoma cells. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1831(8). 1322–1334. 19 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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2026