Amadís Pagès

949 total citations
9 papers, 593 citations indexed

About

Amadís Pagès is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Amadís Pagès has authored 9 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Amadís Pagès's work include RNA Research and Splicing (8 papers), RNA modifications and cancer (6 papers) and Cancer-related molecular mechanisms research (3 papers). Amadís Pagès is often cited by papers focused on RNA Research and Splicing (8 papers), RNA modifications and cancer (6 papers) and Cancer-related molecular mechanisms research (3 papers). Amadís Pagès collaborates with scholars based in Spain, Argentina and Israel. Amadís Pagès's co-authors include Eduardo Eyras, Nicolás Bellora, Juan L. Trincado, Babita Singh, Francesca Mateo, Belén Miñana, Endre Sebestyén, Miguel Ángel Pujana, Juan Valcárcel and Lily Agranat-Tamir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genome Research.

In The Last Decade

Amadís Pagès

9 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amadís Pagès Spain	7	541	202	48	29	25	9	593
Lukas Trixl Austria	8	680 1.3×	323 1.6×	64 1.3×	21 0.7×	35 1.4×	9	746
Guangling Zhang China	11	406 0.8×	304 1.5×	41 0.9×	25 0.9×	40 1.6×	36	588
Afzal P Syed Switzerland	7	413 0.8×	304 1.5×	26 0.5×	35 1.2×	18 0.7×	10	516
Mohammad Alinoor Rahman United States	15	546 1.0×	81 0.4×	49 1.0×	26 0.9×	34 1.4×	24	623
Xue He China	10	444 0.8×	189 0.9×	32 0.7×	19 0.7×	54 2.2×	25	530
Pia Mach Switzerland	5	735 1.4×	231 1.1×	82 1.7×	18 0.6×	44 1.8×	7	775
Maayan Amit Israel	8	578 1.1×	84 0.4×	44 0.9×	27 0.9×	62 2.5×	8	656
Luiz A. Bovolenta Brazil	6	279 0.5×	135 0.7×	20 0.4×	30 1.0×	18 0.7×	14	362
Kaia Mattioli United States	7	316 0.6×	245 1.2×	21 0.4×	27 0.9×	45 1.8×	11	379
Anna Sergeeva Russia	5	289 0.5×	162 0.8×	94 2.0×	12 0.4×	25 1.0×	8	370

Countries citing papers authored by Amadís Pagès

Since Specialization

Citations

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

Fields of papers citing papers by Amadís Pagès

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amadís Pagès

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

All Works

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9 of 9 papers shown

1.

Pagès, Amadís, et al.. (2017). The discovery potential of RNA processing profiles. Nucleic Acids Research. 46(3). e15–e15. 10 indexed citations

2.

Sebestyén, Endre, Babita Singh, Belén Miñana, et al.. (2016). Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks. Genome Research. 26(6). 732–744. 193 indexed citations

3.

Falaleeva, Marina, Amadís Pagès, Żaneta Matuszek, et al.. (2016). Dual function of C/D box small nucleolar RNAs in rRNA modification and alternative pre-mRNA splicing. Proceedings of the National Academy of Sciences. 113(12). E1625–34. 147 indexed citations

4.

Pagès, Amadís, et al.. (2015). Leveraging transcript quantification for fast computation of alternative splicing profiles. RNA. 21(9). 1521–1531. 165 indexed citations

5.

González‐Vallinas, Juan, Amadís Pagès, Babita Singh, & Eduardo Eyras. (2015). A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells. BMC Genomics. 16(1). 523–523. 5 indexed citations

6.

Agirre, Eneritz, Nicolás Bellora, Mariano Alló, et al.. (2015). A chromatin code for alternative splicing involving a putative association between CTCF and HP1α proteins. BMC Biology. 13(1). 31–31. 45 indexed citations

7.

Pagès, Amadís, et al.. (2015). Leveraging transcript quantification for fast computation of alternative splicing profiles. Faculty of 1000 Research Ltd. 4. 1 indexed citations

8.

Zhang, Zhaiyi, Marina Falaleeva, Lily Agranat-Tamir, et al.. (2013). The 5′ untranslated region of the serotonin receptor 2C pre-mRNA generates miRNAs and is expressed in non-neuronal cells. Experimental Brain Research. 230(4). 387–394. 18 indexed citations

9.

Althammer, Sonja, Amadís Pagès, & Eduardo Eyras. (2012). Predictive Models of Gene Regulation from High-Throughput Epigenomics Data. Comparative and Functional Genomics. 2012. 1–13. 9 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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