E. Arilla

1.7k total citations
148 papers, 1.5k citations indexed

About

E. Arilla is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, E. Arilla has authored 148 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 59 papers in Cellular and Molecular Neuroscience and 46 papers in Epidemiology. Recurrent topics in E. Arilla's work include Neuroendocrine Tumor Research Advances (43 papers), Receptor Mechanisms and Signaling (43 papers) and Neuroscience and Neuropharmacology Research (38 papers). E. Arilla is often cited by papers focused on Neuroendocrine Tumor Research Advances (43 papers), Receptor Mechanisms and Signaling (43 papers) and Neuroscience and Neuropharmacology Research (38 papers). E. Arilla collaborates with scholars based in Spain, United States and United Kingdom. E. Arilla's co-authors include Vicente Barrios, Alba Cachero, Emma Burgos‐Ramos, David Aguado‐Llera, Begoña Colás, Guillermo Bodega, Marı́a del Carmen Boyano-Adánez, Juan Carlos Prieto, Alberto M. Hernández‐Pinto and Benjamı́n Fernández and has published in prestigious journals such as PLoS ONE, Hepatology and Diabetes.

In The Last Decade

E. Arilla

147 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Arilla Spain 20 602 446 390 225 215 148 1.5k
Richard Pittner United States 19 576 1.0× 350 0.8× 503 1.3× 116 0.5× 298 1.4× 42 1.5k
Heather A. Ferris United States 19 687 1.1× 323 0.7× 615 1.6× 128 0.6× 232 1.1× 33 1.9k
Pedro J. Camello Spain 28 941 1.6× 379 0.8× 406 1.0× 108 0.5× 288 1.3× 81 1.9k
Setsuko Kanai Japan 21 283 0.5× 291 0.7× 230 0.6× 153 0.7× 230 1.1× 61 1.2k
Július Benický United States 23 672 1.1× 242 0.5× 282 0.7× 124 0.6× 122 0.6× 48 1.9k
Hyung Hwan Baik South Korea 28 724 1.2× 298 0.7× 402 1.0× 125 0.6× 343 1.6× 49 2.0k
Tadao Itoh Japan 21 489 0.8× 343 0.8× 436 1.1× 80 0.4× 91 0.4× 73 1.4k
Masakazu Ibi Japan 25 627 1.0× 550 1.2× 482 1.2× 186 0.8× 51 0.2× 46 2.2k
Sudarshana Purkayastha United States 15 560 0.9× 190 0.4× 512 1.3× 229 1.0× 428 2.0× 20 1.7k
Enrique Alborch Spain 26 538 0.9× 297 0.7× 568 1.5× 102 0.5× 83 0.4× 93 1.8k

Countries citing papers authored by E. Arilla

Since Specialization
Citations

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

Fields of papers citing papers by E. Arilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Arilla

This figure shows the co-authorship network connecting the top 25 collaborators of E. Arilla. A scholar is included among the top collaborators of E. Arilla 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 E. Arilla. E. Arilla 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
1.
Arilla, E., et al.. (2023). Changes in Lipid Metabolism Enzymes in Rat Epididymal Fat after Chronic Central Leptin Infusion Are Related to Alterations in Inflammation and Insulin Signaling. International Journal of Molecular Sciences. 24(8). 7065–7065. 6 indexed citations
2.
Guijarro, Luis G., Eva P. Cuevas, M. Val Toledo-Lobo, et al.. (2021). Possible Role of IRS-4 in the Origin of Multifocal Hepatocellular Carcinoma. Cancers. 13(11). 2560–2560. 11 indexed citations
3.
Guijarro, Luis G., Eva P. Cuevas, M. Val Toledo-Lobo, et al.. (2021). Actinomycin D Arrests Cell Cycle of Hepatocellular Carcinoma Cell Lines and Induces p53-Dependent Cell Death: A Study of the Molecular Mechanism Involved in the Protective Effect of IRS-4. Pharmaceuticals. 14(9). 845–845. 8 indexed citations
4.
Aguado‐Llera, David, Cristina Fernández‐Mendívil, Laura M. Frago, et al.. (2019). Improvement in inflammation is associated with the protective effect of Gly-Pro-Glu and cycloprolylglycine against Aβ-induced depletion of the hippocampal somatostatinergic system. Neuropharmacology. 151. 112–126. 8 indexed citations
5.
Aguado‐Llera, David, Laura M. Frago, Julie A. Chowen, et al.. (2018). The Protective Effects of IGF-I against β-Amyloid-related Downregulation of Hippocampal Somatostatinergic System Involve Activation of Akt and Protein Kinase A. Neuroscience. 374. 104–118. 18 indexed citations
6.
Burgos‐Ramos, Emma, Laura M. Frago, América Hervás‐Aguilar, et al.. (2013). Acute up-regulation of the rat brain somatostatin receptor-effector system by leptin is related to activation of insulin signaling and may counteract central leptin actions. Neuroscience. 252. 289–301. 8 indexed citations
7.
Burgos‐Ramos, Emma, et al.. (2012). Adipose Tissue Promotes a Serum Cytokine Profile Related to Lower Insulin Sensitivity after Chronic Central Leptin Infusion. PLoS ONE. 7(10). e46893–e46893. 11 indexed citations
8.
9.
Burgos‐Ramos, Emma, et al.. (2008). Minocycline prevents Aβ(25–35)-induced reduction of somatostatin and neprilysin content in rat temporal cortex. Life Sciences. 84(7-8). 205–210. 19 indexed citations
10.
Aguado‐Llera, David, et al.. (2007). Alteration of the somatostatinergic system in the striatum of rats with acute experimental autoimmune encephalomyelitis. Neuroscience. 148(1). 238–249. 8 indexed citations
11.
Hernández‐Pinto, Alberto M., et al.. (2006). A vitamin A-free diet results in impairment of the rat hippocampal somatostatinergic system. Neuroscience. 141(2). 851–861. 13 indexed citations
12.
Rodrı́guez-Martı́n, Eulalia, et al.. (1999). Effect of nitric oxide on the somatostatinergic system in the rat exocrine pancreas. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1450(1). 61–67. 2 indexed citations
13.
Rodrı́guez-Martı́n, Eulalia, et al.. (1999). Redistribution of protein kinase C isoforms in rat pancreatic acini during lactation and weaning. FEBS Letters. 445(2-3). 356–360. 11 indexed citations
14.
Rodrı́guez-Puyol, Manuel, et al.. (1996). Lactational changes in the rat exocrine pancreas somatostatin receptors and modulation of guanylate cyclase. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1316(2). 102–108. 1 indexed citations
15.
Pérez-Albarsanz, M.A., et al.. (1995). Effect of somatostatin on the mass accumulation of inositol-1,4,5-trisphosphate in rat hypothalamus, striatum, frontoparietal cortex and hippocampus. Neuroscience Letters. 197(1). 41–44. 11 indexed citations
16.
Rodríguez‐Henche, Nieves, et al.. (1994). VIP receptor/effector system in liver membranes from cholestatic rats. Peptides. 15(2). 353–357. 4 indexed citations
17.
Arilla, E., et al.. (1993). Modulation by isoproterenol and propranolol of somatostatin receptors in synaptosomes from rat frontoparietal cortex. Brain Research. 614(1-2). 171–177. 1 indexed citations
18.
Colás, Begoña, Juan Carlos Prieto, & E. Arilla. (1990). Somatostatin binding to dissociated cells from rat cerebral cortex. Peptides. 11(6). 1109–1112. 20 indexed citations
19.
Barrio, Raquel, et al.. (1988). Subcutaneous Treatment with Growth Hormone-Releasing Hormone for Short Stature. Hormone Research. 30(6). 252–257. 4 indexed citations
20.

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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