Eulàlia Belloc

973 total citations
12 papers, 666 citations indexed

About

Eulàlia Belloc is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Eulàlia Belloc has authored 12 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Eulàlia Belloc's work include RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers) and RNA and protein synthesis mechanisms (5 papers). Eulàlia Belloc is often cited by papers focused on RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers) and RNA and protein synthesis mechanisms (5 papers). Eulàlia Belloc collaborates with scholars based in Spain, United Kingdom and France. Eulàlia Belloc's co-authors include Raúl Méndez, Laure Weill, Felice-Alessio Bava, Maria Piqué, Lenka Skříšovská, Tariq Afroz, Frédéric H.‐T. Allain, Jordina Guillén‐Boixet, Chiara Lara Castellazzi and Ivó H. Hernández and has published in prestigious journals such as Nature, Nucleic Acids Research and Genes & Development.

In The Last Decade

Eulàlia Belloc

11 papers receiving 661 citations

Peers

Eulàlia Belloc
Jennifer N. Chousal United States
Heidi Cook‐Andersen United States
Brinda Dass United States
Scott A. Barbee United States
Julia Schaft Germany
Joshua G. Chenoweth United States
Carl A. Stratton United States
Eulàlia Belloc
Citations per year, relative to Eulàlia Belloc Eulàlia Belloc (= 1×) peers Lichun Tang

Countries citing papers authored by Eulàlia Belloc

Since Specialization
Citations

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

Fields of papers citing papers by Eulàlia Belloc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eulàlia Belloc

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

All Works

12 of 12 papers shown
1.
Bernués, Jordi, Mònica Torras‐Llort, Eulàlia Belloc, et al.. (2025). Maternal histone mRNAs are uniquely processed through polyadenylation in a Stem-Loop Binding Protein (SLBP) dependent manner. Nucleic Acids Research. 53(7).
2.
Delgado, M. Eugenia, Salvador Naranjo‐Suarez, Eulàlia Belloc, et al.. (2024). CPEB4 modulates liver cancer progression by translationally regulating hepcidin expression and sensitivity to ferroptosis. JHEP Reports. 7(3). 101296–101296. 3 indexed citations
3.
Pardiñas, Antonio F., Alberto Parras, Ivó H. Hernández, et al.. (2023). Pathogenic Mis-splicing of CPEB4 in Schizophrenia. Biological Psychiatry. 94(4). 341–351. 10 indexed citations
4.
Castellazzi, Chiara Lara, Óscar Reina, Adrià Caballé, et al.. (2022). Comparative analyses of vertebrate CPEB proteins define two subfamilies with coordinated yet distinct functions in post-transcriptional gene regulation. Genome biology. 23(1). 192–192. 25 indexed citations
5.
Segura-Morales, Carolina, Manja Omerzu, Nicolás Bellora, et al.. (2020). mRNA spindle localization and mitotic translational regulation by CPEB1 and CPEB4. RNA. 27(3). 291–302. 19 indexed citations
6.
Parras, Alberto, María Santos‐Galindo, Vivek Swarup, et al.. (2018). Autism-like phenotype and risk gene mRNA deadenylation by CPEB4 mis-splicing. Nature. 560(7719). 441–446. 104 indexed citations
7.
Weill, Laure, Eulàlia Belloc, Chiara Lara Castellazzi, & Raúl Méndez. (2017). Musashi 1 regulates the timing and extent of meiotic mRNA translational activation by promoting the use of specific CPEs. Nature Structural & Molecular Biology. 24(8). 672–681. 27 indexed citations
8.
Wilczynska, Ania, Anna Git, Joanna Argasinska, Eulàlia Belloc, & Nancy Standart. (2016). CPEB and miR-15/16 Co-Regulate Translation of Cyclin E1 mRNA during Xenopus Oocyte Maturation. PLoS ONE. 11(2). e0146792–e0146792. 12 indexed citations
9.
Afroz, Tariq, Lenka Skříšovská, Eulàlia Belloc, et al.. (2014). A fly trap mechanism provides sequence-specific RNA recognition by CPEB proteins. Genes & Development. 28(13). 1498–1514. 73 indexed citations
10.
Weill, Laure, Eulàlia Belloc, Felice-Alessio Bava, & Raúl Méndez. (2012). Translational control by changes in poly(A) tail length: recycling mRNAs. Nature Structural & Molecular Biology. 19(6). 577–585. 251 indexed citations
11.
Belloc, Eulàlia & Raúl Méndez. (2008). A deadenylation negative feedback mechanism governs meiotic metaphase arrest. Nature. 452(7190). 1017–1021. 88 indexed citations
12.
Belloc, Eulàlia, Maria Piqué, & Raúl Méndez. (2008). Sequential waves of polyadenylation and deadenylation define a translation circuit that drives meiotic progression. Biochemical Society Transactions. 36(4). 665–670. 54 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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