Javier Margareto

1.5k total citations
30 papers, 1.2k citations indexed

About

Javier Margareto is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Javier Margareto has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 12 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Javier Margareto's work include Adipose Tissue and Metabolism (13 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Muscle metabolism and nutrition (5 papers). Javier Margareto is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Muscle metabolism and nutrition (5 papers). Javier Margareto collaborates with scholars based in Spain, Sweden and United States. Javier Margareto's co-authors include Eider Larrarte, J. Alfredo Martínéz, Idoia Labayen, Amelia Martí, José A. Bengoechea, Junkal Garmendia, David Moranta, Verónica Regueiro, Javier Garaizar and Andoni Ramirez‐Garcia and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Javier Margareto

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Javier Margareto Spain	18	343	338	288	211	135	30	1.2k
María J. Rodríguez-Lagunas Spain	22	443 1.3×	176 0.5×	171 0.6×	173 0.8×	174 1.3×	90	1.6k
Prerna Bhargava United States	14	513 1.5×	256 0.8×	315 1.1×	117 0.6×	334 2.5×	17	1.3k
Janet Z. Liu United States	12	659 1.9×	159 0.5×	144 0.5×	273 1.3×	306 2.3×	13	1.5k
Yaoyao Xia China	23	774 2.3×	221 0.7×	143 0.5×	143 0.7×	366 2.7×	48	1.7k
Mohammad Reza Tabandeh Iran	25	455 1.3×	162 0.5×	273 0.9×	113 0.5×	479 3.5×	175	2.2k
Read Pukkila-Worley United States	25	642 1.9×	100 0.3×	565 2.0×	576 2.7×	210 1.6×	38	1.8k
Xuemei Jiang China	20	572 1.7×	178 0.5×	83 0.3×	151 0.7×	105 0.8×	65	1.2k
Elisa Deriu United States	6	565 1.6×	155 0.5×	83 0.3×	263 1.2×	106 0.8×	7	1.1k
Javed N. Agrewala India	25	371 1.1×	267 0.8×	343 1.2×	564 2.7×	615 4.6×	66	1.6k
Renxian Tang China	29	1.0k 3.0×	351 1.0×	431 1.5×	153 0.7×	264 2.0×	98	2.3k

Countries citing papers authored by Javier Margareto

Since Specialization

Citations

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

Fields of papers citing papers by Javier Margareto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Margareto

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

All Works

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20 of 20 papers shown

Malaina, Iker, Luis Martínez, Aintzane Asumendi, et al.. (2023). Computational and Experimental Evaluation of the Immune Response of Neoantigens for Personalized Vaccine Design. International Journal of Molecular Sciences. 24(10). 9024–9024. 2 indexed citations

Arenaza, Lide, María Medrano, María Amasene, et al.. (2017). Prevention of diabetes in overweight/obese children through a family based intervention program including supervised exercise (PREDIKID project): study protocol for a randomized controlled trial. Trials. 18(1). 372–372. 16 indexed citations

Larrarte, Eider, et al.. (2013). Preliminary findings on the influence of FTO rs9939609 and MC4R rs17782313 polymorphisms on resting energy expenditure, leptin and thyrotropin levels in obese non-morbid premenopausal women. Journal of Physiology and Biochemistry. 70(1). 255–262. 19 indexed citations

Labayen, Idoia, Francisco B. Ortega, Jonatan R. Ruiz, et al.. (2011). Role of Baseline Leptin and Ghrelin Levels on Body Weight and Fat Mass Changes after an Energy-Restricted Diet Intervention in Obese Women: Effects on Energy Metabolism. The Journal of Clinical Endocrinology & Metabolism. 96(6). E996–E1000. 37 indexed citations

Morante, Juan José Hernández, Cecilia Gómez‐Santos, Javier Margareto, et al.. (2011). Influence of menopause on adipose tissue clock gene genotype and its relationship with metabolic syndrome in morbidly obese women. AGE. 34(6). 1369–1380. 21 indexed citations

Ruiz, Jonatan R., et al.. (2011). Preliminary findings on the role ofPLIN1polymorphisms on body composition and energy metabolism response to energy restriction in obese women. British Journal Of Nutrition. 106(4). 486–490. 30 indexed citations

Gómez‐Santos, Cecilia, Juan José Hernández Morante, Javier Margareto, et al.. (2011). Profile of adipose tissue gene expression in premenopausal and postmenopausal women. Menopause The Journal of The North American Menopause Society. 18(6). 675–684. 10 indexed citations

Regueiro, Verónica, David Moranta, Christian Frank, et al.. (2010). Klebsiella pneumoniae subverts the activation of inflammatory responses in a NOD1-dependent manner. Cellular Microbiology. 13(1). 135–153. 57 indexed citations

Abad, Ana, Joseba Bikandi, Andoni Ramirez‐Garcia, et al.. (2010). What makes Aspergillus fumigatus a successful pathogen? Genes and molecules involved in invasive aspergillosis. Revista Iberoamericana de Micología. 27(4). 155–182. 288 indexed citations

10.

Ruiz, Jonatan R., et al.. (2010). Role of β₂‐Adrenergic Receptor Polymorphisms on Body Weight and Body Composition Response to Energy Restriction in Obese Women: Preliminary Results. Obesity. 19(1). 212–215. 21 indexed citations

11.

Margareto, Javier, et al.. (2009). DNA Copy Number Variation and Gene Expression Analyses Reveal the Implication of Specific Oncogenes and Genes in GBM. Cancer Investigation. 27(5). 541–548. 14 indexed citations

12.

Margareto, Javier, et al.. (2007). Gene expression profiling of human gliomas reveals differences between GBM and LGA related to energy metabolism and notch signaling pathways. Journal of Molecular Neuroscience. 32(1). 53–63. 26 indexed citations

13.

Sneddon, Lynne U., Javier Margareto, & Andrew R. Cossins. (2005). The Use of Transcriptomics to Address Questions in Behaviour: Production of a Suppression Subtractive Hybridisation Library from Dominance Hierarchies of Rainbow Trout. Physiological and Biochemical Zoology. 78(5). 695–705. 23 indexed citations

14.

Margareto, Javier, et al.. (2002). Changes in UCP2, PPARγ2, and C/EBPα Gene Expression Induced by a Neuropeptide Y (NPY) Related Receptor Antagonist in Overweight Rats. Nutritional Neuroscience. 5(1). 13–17. 3 indexed citations

15.

Larrarte, Eider, Javier Margareto, Francisco J. Novo, Amelia Martí, & J. Alfredo Martínéz. (2002). UCP1 muscle gene transfer and mitochondrial proton leak mediated thermogenesis. Archives of Biochemistry and Biophysics. 404(1). 166–171. 14 indexed citations

16.

Margareto, Javier, Javier Gómez‐Ambrosi, Amelia Martí, & J. Alfredo Martínéz. (2001). Time-Dependent Effects of a High-Energy-Yielding Diet on the Regulation of Specific White Adipose Tissue Genes. Biochemical and Biophysical Research Communications. 283(1). 6–11. 27 indexed citations

17.

Martínéz, J. Alfredo, Javier Margareto, Amelia Martí, et al.. (2001). Resistin overexpression is induced by a β3 adrenergic agonist in diet-related overweightness. Journal of Physiology and Biochemistry. 57(3). 287–288. 8 indexed citations

18.

Margareto, Javier, Amelia Martí, & J. Alfredo Martínéz. (2001). Changes in UCP mRNA expression levels in brown adipose tissue and skeletal muscle after feeding a high-energy diet and relationships with leptin, glucose and PPARγ. The Journal of Nutritional Biochemistry. 12(3). 130–137. 27 indexed citations

19.

Margareto, Javier, Eider Larrarte, Amelia Martí, & J. Alfredo Martínéz. (2001). Up-regulation of a thermogenesis-related gene (UCP1) and down-regulation of PPARγ and aP2 genes in adipose tissue: possible features of the antiobesity effects of a β3-adrenergic agonist 1 1Abbreviations: AP2, adipocyte specific fatty acid binding protein; BAT, brown adipose tissue; DIO, diet-induced obesity; HFD, high-fat diet; PPARγ, peroxisome proliferator-activated receptor gamma; RXRα, retinoid X receptor alpha; RARα, retinoid acid receptor alpha; UCP, uncoupling protein; WAT, white adipose tissue; RT-PCR, reverse transcription-polymerase chain reaction; M-MLV, Moloney-Murine Leukemia Virus.. Biochemical Pharmacology. 61(12). 1471–1478. 40 indexed citations

20.

Margareto, Javier, Juan A. Osés-Prieto, Antonio Monge, et al.. (2000). A new NPY-antagonist strongly stimulates apoptosis and lipolysis on white adipocytes in an obesity model. Life Sciences. 68(1). 99–107. 28 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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