Miguel Moreno‐Martet

443 total citations
7 papers, 331 citations indexed

About

Miguel Moreno‐Martet is a scholar working on Pharmacology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Miguel Moreno‐Martet has authored 7 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 4 papers in Pathology and Forensic Medicine and 3 papers in Neurology. Recurrent topics in Miguel Moreno‐Martet's work include Cannabis and Cannabinoid Research (7 papers), Multiple Sclerosis Research Studies (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Miguel Moreno‐Martet is often cited by papers focused on Cannabis and Cannabinoid Research (7 papers), Multiple Sclerosis Research Studies (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Miguel Moreno‐Martet collaborates with scholars based in Spain and Israel. Miguel Moreno‐Martet's co-authors include Javier Fernández‐Ruíz, Eva de Lago, Carmen Guaza, Francisco Espejo‐Porras, Francisco J. Carrillo‐Salinas, Ana Feliú, Míriam Mecha, Ana Cabranes, J.A. Ramos and Sara Valdeolivas and has published in prestigious journals such as British Journal of Pharmacology, Neuropharmacology and Neuroscience Letters.

In The Last Decade

Miguel Moreno‐Martet

7 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miguel Moreno‐Martet Spain 7 275 157 55 54 49 7 331
Ana Cabranes Spain 8 411 1.5× 260 1.7× 28 0.5× 82 1.5× 60 1.2× 9 482
Francisco Espejo‐Porras Spain 12 335 1.2× 168 1.1× 143 2.6× 56 1.0× 54 1.1× 12 467
Young Cheul Chung South Korea 8 203 0.7× 150 1.0× 88 1.6× 40 0.7× 25 0.5× 9 357
Yunping Song Germany 9 164 0.6× 177 1.1× 66 1.2× 68 1.3× 23 0.5× 16 431
Alex Martinez United States 8 268 1.0× 297 1.9× 145 2.6× 75 1.4× 36 0.7× 8 497
Edgar Angelats Spain 8 220 0.8× 159 1.0× 18 0.3× 38 0.7× 34 0.7× 10 387
Yolanda Gómez‐Gálvez Spain 6 238 0.9× 171 1.1× 81 1.5× 49 0.9× 40 0.8× 9 316
Victoria M. Golub United States 9 105 0.4× 132 0.8× 44 0.8× 29 0.5× 46 0.9× 12 345
Natasha Luquin Australia 10 132 0.5× 161 1.0× 103 1.9× 36 0.7× 17 0.3× 19 334
Aleidy Patricio-Martínez Mexico 9 86 0.3× 105 0.7× 61 1.1× 37 0.7× 14 0.3× 15 314

Countries citing papers authored by Miguel Moreno‐Martet

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Moreno‐Martet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Moreno‐Martet. 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 Miguel Moreno‐Martet. The network helps show where Miguel Moreno‐Martet may publish in the future.

Co-authorship network of co-authors of Miguel Moreno‐Martet

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

All Works

7 of 7 papers shown
1.
Feliú, Ana, Miguel Moreno‐Martet, Míriam Mecha, et al.. (2015). A Sativex®‐like combination of phytocannabinoids as a disease‐modifying therapy in a viral model of multiple sclerosis. British Journal of Pharmacology. 172(14). 3579–3595. 60 indexed citations
2.
Moreno‐Martet, Miguel, Ana Feliú, Francisco Espejo‐Porras, et al.. (2015). The disease-modifying effects of a Sativex-like combination of phytocannabinoids in mice with experimental autoimmune encephalomyelitis are preferentially due to Δ-tetrahydrocannabinol acting through CB1 receptors. Multiple Sclerosis and Related Disorders. 4(6). 505–511. 29 indexed citations
3.
Moreno‐Martet, Miguel, Francisco Espejo‐Porras, Javier Fernández‐Ruíz, & Eva de Lago. (2014). Changes in Endocannabinoid Receptors and Enzymes in the Spinal Cord of SOD1G93A Transgenic Mice and Evaluation of a Sativex®‐like Combination of Phytocannabinoids: Interest for Future Therapies in Amyotrophic Lateral Sclerosis. CNS Neuroscience & Therapeutics. 20(9). 809–815. 58 indexed citations
4.
Lago, Eva de, Miguel Moreno‐Martet, Ana Cabranes, J.A. Ramos, & Javier Fernández‐Ruíz. (2012). Cannabinoids ameliorate disease progression in a model of multiple sclerosis in mice, acting preferentially through CB1 receptor-mediated anti-inflammatory effects. Neuropharmacology. 62(7). 2299–2308. 62 indexed citations
5.
Fernández‐Ruíz, Javier, Miguel Moreno‐Martet, Carmen Rodríguez‐Cueto, et al.. (2011). Prospects for cannabinoid therapies in basal ganglia disorders. British Journal of Pharmacology. 163(7). 1365–1378. 96 indexed citations
6.
Moreno‐Martet, Miguel, Leyre Mestre, Frida Loría, et al.. (2011). Identification of receptors and enzymes for endocannabinoids in NSC-34 cells: Relevance for in vitro studies with cannabinoids in motor neuron diseases. Neuroscience Letters. 508(2). 67–72. 12 indexed citations
7.
Lago, Eva de, María Gómez‐Ruíz, Miguel Moreno‐Martet, & Javier Fernández‐Ruíz. (2009). Cannabinoids, multiple sclerosis and neuroprotection. Expert Review of Clinical Pharmacology. 2(6). 645–660. 14 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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