Aida Martínez-Sánchez

1.7k total citations
28 papers, 1.0k citations indexed

About

Aida Martínez-Sánchez is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Aida Martínez-Sánchez has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Cancer Research and 13 papers in Surgery. Recurrent topics in Aida Martínez-Sánchez's work include MicroRNA in disease regulation (13 papers), Pancreatic function and diabetes (13 papers) and Cancer-related molecular mechanisms research (10 papers). Aida Martínez-Sánchez is often cited by papers focused on MicroRNA in disease regulation (13 papers), Pancreatic function and diabetes (13 papers) and Cancer-related molecular mechanisms research (10 papers). Aida Martínez-Sánchez collaborates with scholars based in United Kingdom, Singapore and United States. Aida Martínez-Sánchez's co-authors include Guy A. Rutter, Chris L. Murphy, Katarzyna Dudek, Timothy J. Pullen, David J. Hodson, Christopher L. Murphy, Marie‐Sophie Nguyen‐Tu, J. Lafont, Fátima Gebauer and Rafael Cuesta and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Aida Martínez-Sánchez

26 papers receiving 1.0k citations

Peers

Aida Martínez-Sánchez
Pinky Tripathi United States
S. Hughes United States
Jolene Bohensky United States
Curran Murphy United States
Zong Wei United States
Aida Martínez-Sánchez
Citations per year, relative to Aida Martínez-Sánchez Aida Martínez-Sánchez (= 1×) peers Vincenzo Gigantino

Countries citing papers authored by Aida Martínez-Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Aida Martínez-Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aida Martínez-Sánchez. 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 Aida Martínez-Sánchez. The network helps show where Aida Martínez-Sánchez may publish in the future.

Co-authorship network of co-authors of Aida Martínez-Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Aida Martínez-Sánchez. A scholar is included among the top collaborators of Aida Martínez-Sánchez 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 Aida Martínez-Sánchez. Aida Martínez-Sánchez 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.
You, Zhipeng, Frédéric Paré, Geneviève Lavoie, et al.. (2025). 14-3-3ζ allows for adipogenesis by modulating chromatin accessibility during the early stages of adipocyte differentiation. Molecular Metabolism. 97. 102159–102159.
2.
Verkuijl, Sebald A. N., Pei‐Shi Yen, Prashanth Selvaraj, et al.. (2025). A suppression-modification gene drive for malaria control targeting the ultra-conserved RNA gene mir-184. Nature Communications. 16(1). 3923–3923. 2 indexed citations
3.
Haberman, Nejc, Rebecca Cheung, Grazia Pizza, et al.. (2024). Liver kinase B1 ( LKB1 ) regulates the epigenetic landscape of mouse pancreatic beta cells. The FASEB Journal. 38(16). e23885–e23885.
4.
Haberman, Nejc, Rupert Faraway, Anob M. Chakrabarti, et al.. (2024). Widespread 3′UTR capped RNAs derive from G-rich regions in proximity to AGO2 binding sites. BMC Biology. 22(1). 254–254. 2 indexed citations
5.
López–Noriega, Livia, Aida Martínez-Sánchez, Sameena Nawaz, et al.. (2024). Roles for the long non-coding RNA Pax6os1/PAX6-AS1 in pancreatic beta cell function. iScience. 28(1). 111518–111518. 2 indexed citations
6.
Chabosseau, Pauline, Luis Fernando Delgadillo-Silva, Eun Young Lee, et al.. (2023). Molecular phenotyping of single pancreatic islet leader beta cells by “Flash-Seq”. Life Sciences. 316. 121436–121436. 15 indexed citations
7.
Nguyen‐Tu, Marie‐Sophie, Joseph Harris, Aida Martínez-Sánchez, et al.. (2022). Opposing effects on regulated insulin secretion of acute vs chronic stimulation of AMP-activated protein kinase. Diabetologia. 65(6). 997–1011. 12 indexed citations
8.
Martínez-Sánchez, Aida, et al.. (2021). Molecular Mechanisms of Nutrient-Mediated Regulation of MicroRNAs in Pancreatic β-cells. Frontiers in Endocrinology. 12. 704824–704824. 6 indexed citations
9.
Baxan, Nicoleta, Lan Zhao, Isabelle Leclerc, et al.. (2020). Synthesis and in vivo behaviour of an exendin-4-based MRI probe capable of β-cell-dependent contrast enhancement in the pancreas. Dalton Transactions. 49(15). 4732–4740. 5 indexed citations
10.
Nguyen‐Tu, Marie‐Sophie, Aida Martínez-Sánchez, Isabelle Leclerc, Guy A. Rutter, & Gabriela da Silva Xavier. (2020). Adipocyte-specific deletion of Tcf7l2 induces dysregulated lipid metabolism and impairs glucose tolerance in mice. Diabetologia. 64(1). 129–141. 22 indexed citations
11.
Rutter, Guy A., Eleni Georgiadou, Aida Martínez-Sánchez, & Timothy J. Pullen. (2020). Metabolic and functional specialisations of the pancreatic beta cell: gene disallowance, mitochondrial metabolism and intercellular connectivity. Diabetologia. 63(10). 1990–1998. 56 indexed citations
12.
Georgiadou, Eleni, Elizabeth Haythorne, Matthew T. Dickerson, et al.. (2020). The pore-forming subunit MCU of the mitochondrial Ca2+ uniporter is required for normal glucose-stimulated insulin secretion in vitro and in vivo in mice. Diabetologia. 63(7). 1368–1381. 35 indexed citations
13.
Martínez-Sánchez, Aida, et al.. (2020). High-Throughput Identification of MiR-145 Targets in Human Articular Chondrocytes. Life. 10(5). 58–58. 8 indexed citations
14.
Martínez-Sánchez, Aida, Marie‐Sophie Nguyen‐Tu, Isabelle Leclerc, & Guy A. Rutter. (2018). Manipulation and Measurement of AMPK Activity in Pancreatic Islets. Methods in molecular biology. 1732. 413–431. 2 indexed citations
15.
Martínez-Sánchez, Aida, Guy A. Rutter, & Mathieu Latreille. (2017). MiRNAs in β-Cell Development, Identity, and Disease. Frontiers in Genetics. 7. 226–226. 49 indexed citations
16.
Seidl, Christine, Aida Martínez-Sánchez, & Christopher L. Murphy. (2015). Derepression of MicroRNA‐138 Contributes to Loss of the Human Articular Chondrocyte Phenotype. Arthritis & Rheumatology. 68(2). 398–409. 36 indexed citations
17.
Martínez-Sánchez, Aida & Chris L. Murphy. (2013). miR-1247 Functions by Targeting Cartilage Transcription Factor SOX9. Journal of Biological Chemistry. 288(43). 30802–30814. 40 indexed citations
18.
Martínez-Sánchez, Aida & Chris L. Murphy. (2013). MicroRNA Target Identification—Experimental Approaches. Biology. 2(1). 189–205. 34 indexed citations
19.
Martínez-Sánchez, Aida, Katarzyna Dudek, & Chris L. Murphy. (2011). Regulation of Human Chondrocyte Function through Direct Inhibition of Cartilage Master Regulator SOX9 by MicroRNA-145 (miRNA-145). Journal of Biological Chemistry. 287(2). 916–924. 160 indexed citations
20.
Dudek, Katarzyna, J. Lafont, Aida Martínez-Sánchez, & Christopher L. Murphy. (2010). Type II Collagen Expression Is Regulated by Tissue-specific miR-675 in Human Articular Chondrocytes. Journal of Biological Chemistry. 285(32). 24381–24387. 120 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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