Valentina Perrera

729 total citations
11 papers, 457 citations indexed

About

Valentina Perrera is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Valentina Perrera has authored 11 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Valentina Perrera's work include RNA modifications and cancer (3 papers), Genetic Syndromes and Imprinting (2 papers) and Pluripotent Stem Cells Research (2 papers). Valentina Perrera is often cited by papers focused on RNA modifications and cancer (3 papers), Genetic Syndromes and Imprinting (2 papers) and Pluripotent Stem Cells Research (2 papers). Valentina Perrera collaborates with scholars based in Italy, Germany and France. Valentina Perrera's co-authors include Thomas Jenuwein, Graziano Martello, Eleftheria Saplaoura, Vincent Colot, Friedrich Kragler, Nicholas Shukeir, Wenna Zhang, Runsheng Li, Justyna Jadwiga Olas and Susanne Opravil and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Nature Cell Biology.

In The Last Decade

Valentina Perrera

10 papers receiving 455 citations

Peers

Valentina Perrera
Andrew Bottley United Kingdom
Jiao Wang China
Amy Cooke United States
Timothy Gilpatrick United States
Pia Mach Switzerland
Jacqueline Jufen Zhu United States
Andrew Bottley United Kingdom
Valentina Perrera
Citations per year, relative to Valentina Perrera Valentina Perrera (= 1×) peers Andrew Bottley

Countries citing papers authored by Valentina Perrera

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Perrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Perrera

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

All Works

11 of 11 papers shown
1.
Martínez-Orellana, Pamela, Valentina Perrera, Tea Carletti, et al.. (2025). SARS-CoV-2-induced damage to rat cortical neuronal networks ex vivo is mediated by the pro-inflammatory activation of the cGAS-STING pathway. Journal of NeuroVirology. 31(6). 528–554.
2.
Carbognin, Elena, Francesco Panariello, Elena Guerzoni, et al.. (2023). Esrrb guides naive pluripotent cells through the formative transcriptional programme. Nature Cell Biology. 25(5). 643–657. 11 indexed citations
3.
Martini, Paolo, Gabriele Sales, Valentina Perrera, et al.. (2022). BrewerIX enables allelic expression analysis of imprinted and X-linked genes from bulk and single-cell transcriptomes. Communications Biology. 5(1). 146–146. 5 indexed citations
4.
Duda, Katarzyna, Reagan W. Ching, Nicholas Shukeir, et al.. (2021). m6A RNA methylation of major satellite repeat transcripts facilitates chromatin association and RNA:DNA hybrid formation in mouse heterochromatin. Nucleic Acids Research. 49(10). 5568–5587. 24 indexed citations
5.
Saplaoura, Eleftheria, Valentina Perrera, Vincent Colot, & Friedrich Kragler. (2020). Methylated RNA Immunoprecipitation Assay to Study m<sup>5</sup>C Modification in Arabidopsis. Journal of Visualized Experiments. 9 indexed citations
6.
Saplaoura, Eleftheria, Valentina Perrera, Vincent Colot, & Friedrich Kragler. (2020). Methylated RNA Immunoprecipitation Assay to Study m<sup>5</sup>C Modification in Arabidopsis. Journal of Visualized Experiments. 2 indexed citations
7.
Carbognin, Elena, Francesco Panariello, Valentina Perrera, et al.. (2020). Esrrb Conveys Naïve Pluripotent Cells Through The Formative Transcriptional Program. SSRN Electronic Journal. 1 indexed citations
8.
Yang, Lei, Valentina Perrera, Eleftheria Saplaoura, et al.. (2019). m5C Methylation Guides Systemic Transport of Messenger RNA over Graft Junctions in Plants. Current Biology. 29(15). 2465–2476.e5. 157 indexed citations
9.
Perrera, Valentina & Graziano Martello. (2019). How Does Reprogramming to Pluripotency Affect Genomic Imprinting?. Frontiers in Cell and Developmental Biology. 7. 76–76. 27 indexed citations
10.
Herranz, Nicolás, Valentina Perrera, Ane Iturbide, et al.. (2013). Regulation of Heterochromatin Transcription by Snail1/LOXL2 during Epithelial-to-Mesenchymal Transition. Molecular Cell. 52(5). 746–757. 83 indexed citations
11.
Bulut-Karslıoğlu, Aydan, Valentina Perrera, Inti A. De La Rosa-Velázquez, et al.. (2012). A transcription factor–based mechanism for mouse heterochromatin formation. Nature Structural & Molecular Biology. 19(10). 1023–1030. 138 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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