Rebeca Mayo

2.4k total citations
17 papers, 756 citations indexed

About

Rebeca Mayo is a scholar working on Molecular Biology, Epidemiology and Insect Science. According to data from OpenAlex, Rebeca Mayo has authored 17 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Insect Science. Recurrent topics in Rebeca Mayo's work include Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Insect and Pesticide Research (3 papers). Rebeca Mayo is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Insect and Pesticide Research (3 papers). Rebeca Mayo collaborates with scholars based in Spain, United States and Canada. Rebeca Mayo's co-authors include Marı́a J. Nozal, J.L. Bernal, Cristina Alonso, Miriam Pérez-Cormenzana, Mariano Higes, Raquel Martín‐Hernández, Aránzazu Meana, Pilar Garcı́a, Encarna Garrido‐Bailón and Amelia V. González‐Porto and has published in prestigious journals such as Journal of the American Chemical Society, The Science of The Total Environment and Journal of Hepatology.

In The Last Decade

Rebeca Mayo

17 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rebeca Mayo Spain	11	286	218	216	215	130	17	756
Henk Tennekes Germany	15	387 1.4×	245 1.1×	124 0.6×	254 1.2×	9 0.1×	29	812
Islam M. El‐Garawani Egypt	16	78 0.3×	35 0.2×	191 0.9×	47 0.2×	25 0.2×	40	591
Takuya Yamaguchi Japan	19	104 0.4×	127 0.6×	555 2.6×	52 0.2×	17 0.1×	60	1.2k
Gang Wei China	18	88 0.3×	19 0.1×	328 1.5×	34 0.2×	146 1.1×	63	1.7k
Francesca De Leo Italy	18	303 1.1×	73 0.3×	618 2.9×	24 0.1×	32 0.2×	37	984
Noushin Hadadi Switzerland	15	50 0.2×	75 0.3×	608 2.8×	46 0.2×	31 0.2×	27	828
Zülal Atlı Şekeroğlu Türkiye	15	88 0.3×	39 0.2×	128 0.6×	26 0.1×	18 0.1×	47	566
Vedran Micek Croatia	17	97 0.3×	30 0.1×	165 0.8×	23 0.1×	24 0.2×	51	687
Nadia Quignot France	12	92 0.3×	63 0.3×	58 0.3×	60 0.3×	10 0.1×	40	544

Countries citing papers authored by Rebeca Mayo

Since Specialization

Citations

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

Fields of papers citing papers by Rebeca Mayo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebeca Mayo

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

All Works

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17 of 17 papers shown

White, Andrew J. P., et al.. (2025). MOSAEC-DB: a comprehensive database of experimental metal–organic frameworks with verified chemical accuracy suitable for molecular simulations. Chemical Science. 16(9). 4085–4100. 12 indexed citations

White, Andrew J. P., et al.. (2025). High Structural Error Rates in “Computation-Ready” MOF Databases Discovered by Checking Metal Oxidation States. Journal of the American Chemical Society. 147(21). 17579–17583. 10 indexed citations

Iruzubieta, Paula, Rebeca Mayo, Itziar Mincholé, et al.. (2024). One‐step non‐invasive diagnosis of metabolic dysfunction‐associated steatohepatitis and fibrosis in high‐risk population. United European Gastroenterology Journal. 12(7). 919–929. 8 indexed citations

Millán, Laura, Joaquín Fernández‐Irigoyen, Enrique Santamaría, & Rebeca Mayo. (2019). Mass Spectrometry Applied to Human Cerebrospinal Fluid Lipidome. Methods in molecular biology. 2044. 353–361. 3 indexed citations

Royo, Félix, David Gil‐Carton, Esperanza González, et al.. (2019). Differences in the metabolite composition and mechanical properties of extracellular vesicles secreted by hepatic cellular models. Journal of Extracellular Vesicles. 8(1). 1575678–1575678. 40 indexed citations

Michelena, Javier, Cristina Alonso, Ibon Martínez‐Arranz, et al.. (2018). Metabolomics Discloses a New Non-invasive Method for the Diagnosis and Prognosis of Patients with Alcoholic Hepatitis. Annals of Hepatology. 18(1). 144–154. 6 indexed citations

Reig, A., Miriam Pérez-Cormenzana, Pilar Sesé, et al.. (2016). Bezafibrate Alleviates Pruritus and Decreases Specific Circulating Metabolites in Patients with Primary Biliary Cholangitis. Journal of Hepatology. 64(2). S429–S429. 2 indexed citations

Hijosa‐Valsero, María, Eloy Bécares, Camino Fernández‐Aláez, et al.. (2015). Chemical pollution in inland shallow lakes in the Mediterranean region (NW Spain): PAHs, insecticides and herbicides in water and sediments. The Science of The Total Environment. 544. 797–810. 72 indexed citations

Martínez‐Arranz, Ibon, Rebeca Mayo, Miriam Pérez-Cormenzana, et al.. (2015). Enhancing metabolomics research through data mining. Journal of Proteomics. 127(Pt B). 275–288. 83 indexed citations

10.

Martínez‐Arranz, Ibon, Rebeca Mayo, Miriam Pérez-Cormenzana, et al.. (2015). Data in support of enhancing metabolomics research through data mining. Data in Brief. 3. 155–164. 7 indexed citations

11.

González, Esperanza, Sebastiaan van Liempd, Javier Conde‐Vancells, et al.. (2011). Serum UPLC-MS/MS metabolic profiling in an experimental model for acute-liver injury reveals potential biomarkers for hepatotoxicity. Metabolomics. 8(6). 997–1011. 68 indexed citations

12.

Vázquez–Chantada, Mercedes, Cristina Alonso, Miriam Pérez-Cormenzana, et al.. (2010). Liquid Chromatography−Mass Spectrometry-Based Parallel Metabolic Profiling of Human and Mouse Model Serum Reveals Putative Biomarkers Associated with the Progression of Nonalcoholic Fatty Liver Disease. Journal of Proteome Research. 9(9). 4501–4512. 123 indexed citations

13.

Higes, Mariano, Raquel Martín‐Hernández, Encarna Garrido‐Bailón, et al.. (2009). Honeybee colony collapse due to Nosema ceranae in professional apiaries. Environmental Microbiology Reports. 1(2). 110–113. 240 indexed citations

14.

Bernal, J.L., et al.. (2008). Use of supercritical fluid extraction and gas chromatography–mass spectrometry to obtain amino acid profiles from several genetically modified varieties of maize and soybean. Journal of Chromatography A. 1192(2). 266–272. 15 indexed citations

15.

Jiménez, J.J., J.L. Bernal, Marı́a J. Nozal, M. Martín, & Rebeca Mayo. (2008). Sample preparation methods to analyze fipronil in honey by gas chromatography with electron-capture and mass spectrometric detection. Journal of Chromatography A. 1187(1-2). 40–45. 34 indexed citations

16.

Jiménez, J.J., J.L. Bernal, Marı́a J. Nozal, M. Martín, & Rebeca Mayo. (2007). Comparative study of sample preparation procedures to determine fipronil in pollen by gas chromatography with mass spectrometric and electron-capture detection. Journal of Chromatography A. 1146(1). 8–16. 28 indexed citations

17.

Velasco, A. M., et al.. (1998). Comparative Study of the Effects of Clozapine and Clothiapine in Different Preparations of Guinea Pig and Rat Isolated Organs. General Pharmacology The Vascular System. 30(4). 521–524. 5 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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