Fátima Gebauer

6.7k total citations · 2 hit papers
76 papers, 4.7k citations indexed

About

Fátima Gebauer is a scholar working on Molecular Biology, Animal Science and Zoology and Infectious Diseases. According to data from OpenAlex, Fátima Gebauer has authored 76 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 12 papers in Animal Science and Zoology and 11 papers in Infectious Diseases. Recurrent topics in Fátima Gebauer's work include RNA Research and Splicing (51 papers), RNA and protein synthesis mechanisms (30 papers) and RNA modifications and cancer (25 papers). Fátima Gebauer is often cited by papers focused on RNA Research and Splicing (51 papers), RNA and protein synthesis mechanisms (30 papers) and RNA modifications and cancer (25 papers). Fátima Gebauer collaborates with scholars based in Spain, Germany and Netherlands. Fátima Gebauer's co-authors include Matthias W. Hentze, Juan Valcárcel, Joel D. Richter, Thomas Schwarzl, Luis Enjuanes, Elżbieta Szostak, Olga Coll, Cristina Militti, Laurence Wurth and Carlos M. Sánchez and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fátima Gebauer

75 papers receiving 4.6k citations

Hit Papers

Molecular mechanisms of translational control 2004 2026 2011 2018 2004 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fátima Gebauer Spain 34 3.5k 634 628 577 558 76 4.7k
Eugene V. Makeyev United Kingdom 30 3.3k 0.9× 426 0.7× 319 0.5× 1.1k 2.0× 132 0.2× 66 4.2k
Hiroaki Imataka Japan 36 4.8k 1.4× 685 1.1× 266 0.4× 414 0.7× 98 0.2× 85 5.7k
Richard E. Lloyd United States 40 3.1k 0.9× 563 0.9× 893 1.4× 143 0.2× 316 0.6× 69 4.6k
Catherine L. Jopling United Kingdom 18 4.0k 1.1× 423 0.7× 310 0.5× 2.7k 4.7× 244 0.4× 22 5.4k
Alfredo Castelló United Kingdom 35 6.1k 1.7× 338 0.5× 334 0.5× 1.3k 2.3× 113 0.2× 65 7.0k
Yuri V. Svitkin Canada 47 6.9k 2.0× 603 1.0× 980 1.6× 800 1.4× 371 0.7× 82 8.7k
Ella Hartenian United States 14 5.0k 1.4× 738 1.2× 446 0.7× 424 0.7× 75 0.1× 19 6.0k
José M. Almendral Spain 32 1.8k 0.5× 1.4k 2.2× 947 1.5× 184 0.3× 682 1.2× 58 3.7k
Atze T. Das Netherlands 30 2.8k 0.8× 627 1.0× 765 1.2× 194 0.3× 81 0.1× 113 3.8k
Lucas T. Jae Germany 23 2.0k 0.6× 557 0.9× 545 0.9× 209 0.4× 95 0.2× 30 3.3k

Countries citing papers authored by Fátima Gebauer

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Gebauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fátima Gebauer

This figure shows the co-authorship network connecting the top 25 collaborators of Fátima Gebauer. A scholar is included among the top collaborators of Fátima Gebauer 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 Fátima Gebauer. Fátima Gebauer 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.
Bertrand, Édouard, et al.. (2025). eIF2A regulates cell migration in a translation-independent manner. Science Advances. 11(31). eadu5668–eadu5668.
2.
Gebauer, Fátima, et al.. (2024). CSDE1: a versatile regulator of gene expression in cancer. NAR Cancer. 6(2). zcae014–zcae014. 2 indexed citations
3.
Sagredo, Eduardo A., et al.. (2024). ADAR3 modulates neuronal differentiation and regulates mRNA stability and translation. Nucleic Acids Research. 52(19). 12021–12038. 4 indexed citations
4.
Meyer, J, Miroslav Krepl, Karine Lapouge, et al.. (2024). The Drosophila RNA binding protein Hrp48 binds a specific RNA sequence of the msl-2 mRNA 3’ UTR to regulate translation. Biophysical Chemistry. 316. 107346–107346. 2 indexed citations
5.
Indacochea, Alberto, et al.. (2020). Cold-inducible RNA binding protein promotes breast cancer cell malignancy by regulating Cystatin C levels. RNA. 27(2). 190–201. 27 indexed citations
6.
Martínez‐Useros, Javier, T. Georgiev-Hristov, María Jesús Fernández‐Aceñero, et al.. (2017). UNR/CDSE1 expression as prognosis biomarker in resectable pancreatic ductal adenocarcinoma patients: A proof-of-concept. PLoS ONE. 12(8). e0182044–e0182044. 15 indexed citations
7.
Strauß, Daniela, et al.. (2017). Drosophila Sister-of-Sex-lethal is a repressor of translation. RNA. 24(2). 149–158. 6 indexed citations
8.
Hennig, Janosch, Cristina Militti, Grzegorz M. Popowicz, et al.. (2014). Structural basis for the assembly of the Sxl–Unr translation regulatory complex. Nature. 515(7526). 287–290. 94 indexed citations
9.
Militti, Cristina, Sylvain Maenner, Peter B. Becker, & Fátima Gebauer. (2014). UNR facilitates the interaction of MLE with the lncRNA roX2 during Drosophila dosage compensation. Nature Communications. 5(1). 4762–4762. 30 indexed citations
10.
Szostak, Elżbieta & Fátima Gebauer. (2012). Translational control by 3'-UTR-binding proteins. Briefings in Functional Genomics. 12(1). 58–65. 123 indexed citations
11.
Mihailovich, Marija, Laurence Wurth, Federico Zambelli, et al.. (2011). Widespread generation of alternative UTRs contributes to sex-specific RNA binding by UNR. RNA. 18(1). 53–64. 18 indexed citations
12.
Gebauer, Fátima, et al.. (2008). Functional domains of Drosophila UNR in translational control. RNA. 14(3). 482–490. 20 indexed citations
13.
Hentze, Matthias W., Fátima Gebauer, & Thomas Preiß. (2007). Cis-regulatory sequences and trans-acting factors in translation control. Cold Spring Harbor Monograph Archive. 48. 269–295. 22 indexed citations
14.
Beckmann, Karsten, Marica Gršković, Fátima Gebauer, & Matthias W. Hentze. (2005). A Dual Inhibitory Mechanism Restricts msl-2 mRNA Translation for Dosage Compensation in Drosophila. Cell. 123(1). 171–171. 1 indexed citations
15.
Beckmann, Karsten, Marica Gršković, Fátima Gebauer, & Matthias W. Hentze. (2005). A Dual Inhibitory Mechanism Restricts msl-2 mRNA Translation for Dosage Compensation in Drosophila. Cell. 122(4). 529–540. 82 indexed citations
16.
Gebauer, Fátima & Matthias W. Hentze. (2001). Fertility Facts. Molecular Cell. 8(2). 247–249. 5 indexed citations
17.
Valcárcel, Juan & Fátima Gebauer. (1997). Post-transcriptional regulation: The dawn of PTB. Current Biology. 7(11). R705–R708. 177 indexed citations
18.
Méndez, Ana, Cristian Smerdou, Fátima Gebauer, Ander Izeta, & Luis Enjuanes. (1995). Structure and Encapsidation of Transmissible Gastroenteritis Coronavirus (TGEV) Defective Interfering Genomes. Advances in experimental medicine and biology. 380. 583–589. 1 indexed citations
19.
Sánchez, Carlos M., Gustavo Jiménez, Isabel Corrêa, et al.. (1990). Antigenic homology among coronaviruses related to transmissible gastroenteritis virus. Virology. 174(2). 410–417. 128 indexed citations
20.
Bullido, María J., et al.. (1989). Induction of Transmissible Gastroenteritis Coronavirus-neutralizing Antibodies in vitro by Virus-specific T Helper Cell Hybridomas. Journal of General Virology. 70(3). 659–672. 7 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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