Doménica Marchese

1.9k total citations
9 papers, 517 citations indexed

About

Doménica Marchese is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Doménica Marchese has authored 9 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Doménica Marchese's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and RNA and protein synthesis mechanisms (3 papers). Doménica Marchese is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and RNA and protein synthesis mechanisms (3 papers). Doménica Marchese collaborates with scholars based in Spain, Italy and Germany. Doménica Marchese's co-authors include Gian Gaetano Tartaglia, Federico Agostini, Davide Cirillo, Petr Klus, Andreas Zanzoni, Carmen Maria Livi, Benedetta Bolognesi, Natalia Sánchez de Groot, Nieves Lorenzo-Gotor and Sílvia Rodriguez-Mulero and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Cell stem cell.

In The Last Decade

Doménica Marchese

9 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doménica Marchese Spain 8 462 183 32 27 22 9 517
Jack D. Godfrey United Kingdom 7 336 0.7× 164 0.9× 22 0.7× 11 0.4× 21 1.0× 9 406
Valeria Yartseva United States 8 525 1.1× 235 1.3× 20 0.6× 29 1.1× 35 1.6× 9 579
Emad Bahrami‐Samani United States 11 581 1.3× 151 0.8× 24 0.8× 10 0.4× 30 1.4× 13 614
Chiara Alberti Italy 7 246 0.5× 162 0.9× 48 1.5× 9 0.3× 17 0.8× 11 370
Shashank Sathe United States 10 612 1.3× 275 1.5× 29 0.9× 13 0.5× 10 0.5× 12 662
Taeyoung Hwang United States 10 509 1.1× 246 1.3× 18 0.6× 11 0.4× 35 1.6× 17 580
Micaela Polay Espinoza France 7 414 0.9× 85 0.5× 23 0.7× 11 0.4× 22 1.0× 8 470
Valentine Léopold France 7 318 0.7× 222 1.2× 22 0.7× 7 0.3× 14 0.6× 12 447
Kaori Yanaka Japan 7 620 1.3× 360 2.0× 37 1.2× 24 0.9× 49 2.2× 11 694
Koichi Ogami Japan 13 479 1.0× 93 0.5× 23 0.7× 7 0.3× 14 0.6× 21 527

Countries citing papers authored by Doménica Marchese

Since Specialization
Citations

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

Fields of papers citing papers by Doménica Marchese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doménica Marchese

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

All Works

9 of 9 papers shown
1.
Avgustinova, Alexandra, Carmelo Laudanna, Mónica Pascual-García, et al.. (2021). Repression of endogenous retroviruses prevents antiviral immune response and is required for mammary gland development. Cell stem cell. 28(10). 1790–1804.e8. 8 indexed citations
2.
Massoni-Badosa, Ramon, Giovanni Iacono, Cátia Moutinho, et al.. (2020). Sampling time-dependent artifacts in single-cell genomics studies. Genome biology. 21(1). 112–112. 42 indexed citations
3.
Marchese, Doménica, Natalia Sánchez de Groot, Nieves Lorenzo-Gotor, Carmen Maria Livi, & Gian Gaetano Tartaglia. (2016). Advances in the characterization of RNA‐binding proteins. Wiley Interdisciplinary Reviews - RNA. 7(6). 793–810. 91 indexed citations
4.
Marchese, Doménica, Carmen Maria Livi, & Gian Gaetano Tartaglia. (2015). A Computational Approach for the Discovery of Protein–RNA Networks. Methods in molecular biology. 1358. 29–39. 3 indexed citations
5.
Klus, Petr, Benedetta Bolognesi, Federico Agostini, et al.. (2014). The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilities. Bioinformatics. 30(11). 1601–1608. 37 indexed citations
6.
Cirillo, Davide, Doménica Marchese, Federico Agostini, et al.. (2014). Constitutive patterns of gene expression regulated by RNA-binding proteins. Genome biology. 15(1). R13–R13. 31 indexed citations
7.
Agostini, Federico, Andreas Zanzoni, Petr Klus, et al.. (2013). catRAPID omics: a web server for large-scale prediction of protein–RNA interactions. Bioinformatics. 29(22). 2928–2930. 209 indexed citations
8.
Zanzoni, Andreas, Doménica Marchese, Federico Agostini, et al.. (2013). Principles of self-organization in biological pathways: a hypothesis on the autogenous association of alpha-synuclein. Nucleic Acids Research. 41(22). 9987–9998. 39 indexed citations
9.
Cirillo, Davide, Federico Agostini, Petr Klus, et al.. (2012). Neurodegenerative diseases: Quantitative predictions of protein–RNA interactions. RNA. 19(2). 129–140. 57 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jack D. Godfrey Breakdown of academic impact, for papers by Valeria Yartseva Breakdown of academic impact, for papers by Emad Bahrami‐Samani Breakdown of academic impact, for papers by Chiara Alberti Breakdown of academic impact, for papers by Shashank Sathe Breakdown of academic impact, for papers by Taeyoung Hwang Breakdown of academic impact, for papers by Micaela Polay Espinoza Breakdown of academic impact, for papers by Valentine Léopold Breakdown of academic impact, for papers by Kaori Yanaka Breakdown of academic impact, for papers by Koichi Ogami
Rankless by CCL
2026