Irene Amata

516 total citations
12 papers, 420 citations indexed

About

Irene Amata is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Irene Amata has authored 12 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Irene Amata's work include RNA Research and Splicing (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and RNA and protein synthesis mechanisms (4 papers). Irene Amata is often cited by papers focused on RNA Research and Splicing (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and RNA and protein synthesis mechanisms (4 papers). Irene Amata collaborates with scholars based in Spain, Germany and France. Irene Amata's co-authors include Miquel Pons, Mariano Maffei, Teresa Carlomagno, Christophe Farès, Ana Igea, Ángel R. Nebreda, Marina Gay, Marta Vilaseca, Bernd Simon and Yolanda Pérez and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Irene Amata

12 papers receiving 418 citations

Peers

Irene Amata

MB

MC

SPECT

GENET

CB

Kristina Döring Germany

Lena Buchner Germany

Sébastien F. Poget United States

Madeleine Strickland United States

Françoise Ochsenbein France

Asli Ertekin United States

Johanne Le Coq Spain

I.V. Dudich Russia

Ivana Vonkova Germany

Parin Sripakdeevong United States

Kristina Döring Germany

Irene Amata

442 ×1.3

MB

58 ×0.8

MC

30 ×0.5

SPECT

73 ×1.4

GENET

52 ×1.3

CB

Citations per year, relative to Irene Amata Irene Amata (= 1×) peers Kristina Döring

Countries citing papers authored by Irene Amata

Since Specialization

Citations

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

Fields of papers citing papers by Irene Amata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Amata

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

All Works

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12 of 12 papers shown

1.

Teixeira, João M. C., Tiago N. Cordeiro, Valerie W. C. Soo, et al.. (2016). An oxygen-sensitive toxin–antitoxin system. Nature Communications. 7(1). 13634–13634. 58 indexed citations

2.

Maffei, Mariano, et al.. (2015). The SH3 Domain Acts as a Scaffold for the N-Terminal Intrinsically Disordered Regions of c-Src. Structure. 23(5). 893–902. 33 indexed citations

3.

Amata, Irene, Mariano Maffei, & Miquel Pons. (2014). Phosphorylation of unique domains of Src family kinases. Frontiers in Genetics. 5. 181–181. 75 indexed citations

4.

Pérez, Yolanda, Mariano Maffei, Ana Igea, et al.. (2013). Lipid binding by the Unique and SH3 domains of c-Src suggests a new regulatory mechanism. Scientific Reports. 3(1). 1295–1295. 72 indexed citations

5.

Amata, Irene, Mariano Maffei, Ana Igea, et al.. (2013). Multi‐phosphorylation of the Intrinsically Disordered Unique Domain of c‐Src Studied by In‐Cell and Real‐Time NMR Spectroscopy. ChemBioChem. 14(14). 1820–1827. 52 indexed citations

6.

Maffei, Mariano, et al.. (2013). Lipid Binding by Disordered Proteins. Protocol Exchange. 5 indexed citations

7.

Carlomagno, Teresa, et al.. (2013). Structural Principles of RNA Catalysis in a 2′–5′ Lariat-Forming Ribozyme. Journal of the American Chemical Society. 135(11). 4403–4411. 14 indexed citations

8.

Amata, Irene, et al.. (2010). Structure of the K-turn U4 RNA: a combined NMR and SANS study. Nucleic Acids Research. 38(18). 6274–6285. 45 indexed citations

9.

Gallo, Mariana, Elena Ferrari, Tommaso Eliseo, et al.. (2010). A new member of the ribbon-helix-helix transcription factor superfamily from the plant pathogen Xanthomonas axonopodis pv. citri. Journal of Structural Biology. 170(1). 21–31. 5 indexed citations

10.

Carlomagno, Teresa, Irene Amata, James R. Williamson, & M. Hennig. (2008). NMR assignments of HIV-2 TAR RNA. Biomolecular NMR Assignments. 2(2). 167–169. 4 indexed citations

11.

Amata, Irene, et al.. (2008). N-Lobe Dynamics of Myosin Light Chain Dictates Its Mode of Interaction with Myosin V IQ1. Biochemistry. 47(47). 12332–12345. 5 indexed citations

12.

Farès, Christophe, Irene Amata, & Teresa Carlomagno. (2007). ¹³C-Detection in RNA Bases: Revealing Structure−Chemical Shift Relationships. Journal of the American Chemical Society. 129(51). 15814–15823. 52 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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