Stefano de Pretis

1.8k total citations
28 papers, 1.2k citations indexed

About

Stefano de Pretis is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Stefano de Pretis has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Stefano de Pretis's work include RNA modifications and cancer (13 papers), RNA Research and Splicing (11 papers) and RNA and protein synthesis mechanisms (6 papers). Stefano de Pretis is often cited by papers focused on RNA modifications and cancer (13 papers), RNA Research and Splicing (11 papers) and RNA and protein synthesis mechanisms (6 papers). Stefano de Pretis collaborates with scholars based in Italy, United States and Australia. Stefano de Pretis's co-authors include Mattia Pelizzola, Bruno Amati, Marco J. Morelli, Heiko Müller, Marcin M. Gorski, Valerio Bianchi, Mirko Doni, Arianna Sabò, Alessandro Verrecchia and Mattia Furlan and has published in prestigious journals such as Nature, Neuron and The EMBO Journal.

In The Last Decade

Stefano de Pretis

27 papers receiving 1.2k citations

Peers

Stefano de Pretis
Inderpreet Sur Sweden
Lukas Rycak Germany
Alessandro Gardini United States
Sébastien Pinte France
Katherine Dunn Canada
Silvia Pegoraro Italy
Jit Kong Cheong Singapore
Inge de Krijger Netherlands
Rut Tejero Spain
Inderpreet Sur Sweden
Stefano de Pretis
Citations per year, relative to Stefano de Pretis Stefano de Pretis (= 1×) peers Inderpreet Sur

Countries citing papers authored by Stefano de Pretis

Since Specialization
Citations

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

Fields of papers citing papers by Stefano de Pretis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano de Pretis. 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 Stefano de Pretis. The network helps show where Stefano de Pretis may publish in the future.

Co-authorship network of co-authors of Stefano de Pretis

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano de Pretis. A scholar is included among the top collaborators of Stefano de Pretis 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 Stefano de Pretis. Stefano de Pretis 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.
Valtorta, Silvia, Stefano de Pretis, Gloria Bertoli, et al.. (2025). Radio-chemotherapy and metformin selectively modulate the heterogeneous landscape of glioma with ribosome biogenesis, long non coding RNA and immune-escape markers as major player. International Journal of Biological Sciences. 21(8). 3527–3554. 1 indexed citations
2.
Sant’Antonio, Emanuela, et al.. (2025). Monoclonal B‐Cell Lymphocytosis: The Silent Clone the Haematologists Should Not Neglect. Hematological Oncology. 43(S2). e70084–e70084.
3.
Esposito, Alessandro, Marzia Indrigo, Vanna Denti, et al.. (2024). Unraveling autophagic imbalances and therapeutic insights in Mecp2-deficient models. EMBO Molecular Medicine. 16(11). 2795–2826. 3 indexed citations
4.
Marco, Federico Di, Francesca De Nicola, Francesca Giannese, et al.. (2024). Dual spatial host-bacterial gene expression in Mycobacterium abscessus respiratory infections. Communications Biology. 7(1). 1287–1287. 1 indexed citations
5.
Ruggiero, Valeria, Claudio Fagioli, Stefano de Pretis, et al.. (2023). Complex CDKL5 translational regulation and its potential role in CDKL5 deficiency disorder. Frontiers in Cellular Neuroscience. 17. 1231493–1231493. 1 indexed citations
6.
Bhat, Ganesh Parameshwar, Paola Podini, Chiara Malpighi, et al.. (2023). Structured wound angiogenesis instructs mesenchymal barrier compartments in the regenerating nerve. Neuron. 112(2). 209–229.e11. 15 indexed citations
7.
Pretis, Stefano de, Ganesh Parameshwar Bhat, Aurora Badaloni, et al.. (2022). Motor neurons use push-pull signals to direct vascular remodeling critical for their connectivity. Neuron. 110(24). 4090–4107.e11. 13 indexed citations
8.
Pretis, Stefano de, Mattia Furlan, & Mattia Pelizzola. (2020). INSPEcT-GUI Reveals the Impact of the Kinetic Rates of RNA Synthesis, Processing, and Degradation, on Premature and Mature RNA Species. Frontiers in Genetics. 11. 759–759. 4 indexed citations
9.
Furlan, Mattia, et al.. (2020). Direct RNA Sequencing for the Study of Synthesis, Processing, and Degradation of Modified Transcripts. Frontiers in Genetics. 11. 394–394. 13 indexed citations
10.
Furlan, Mattia, Eugenia Galeota, Nunzio Del Gaudio, et al.. (2020). Genome-wide dynamics of RNA synthesis, processing, and degradation without RNA metabolic labeling. Genome Research. 30(10). 1492–1507. 21 indexed citations
11.
Furlan, Mattia, Eugenia Galeota, Stefano de Pretis, Michele Caselle, & Mattia Pelizzola. (2019). m6A-Dependent RNA Dynamics in T Cell Differentiation. Genes. 10(1). 28–28. 31 indexed citations
12.
Pretis, Stefano de, Theresia R. Kress, Marco J. Morelli, et al.. (2017). Integrative analysis of RNA polymerase II and transcriptional dynamics upon MYC activation. Genome Research. 27(10). 1658–1664. 46 indexed citations
13.
Bianchi, Valerio, Arnaud Céol, Stefano de Pretis, et al.. (2016). Integrated Systems for NGS Data Management and Analysis: Open Issues and Available Solutions. Frontiers in Genetics. 7. 75–75. 35 indexed citations
14.
Mukherjee, Neelanjan, Lorenzo Calviello, Antje Hirsekorn, et al.. (2016). Integrative classification of human coding and noncoding genes through RNA metabolism profiles. Nature Structural & Molecular Biology. 24(1). 86–96. 134 indexed citations
15.
Melloni, Giorgio, Stefano de Pretis, Laura Riva, et al.. (2016). LowMACA: exploiting protein family analysis for the identification of rare driver mutations in cancer. BMC Bioinformatics. 17(1). 80–80. 14 indexed citations
16.
Pelizzola, Mattia, Marco J. Morelli, Arianna Sabò, et al.. (2015). Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data. Data in Brief. 3. 40–46. 3 indexed citations
17.
Austenaa, Liv, Iros Barozzi, Marta Simonatto, et al.. (2015). Transcription of Mammalian cis-Regulatory Elements Is Restrained by Actively Enforced Early Termination. Molecular Cell. 60(3). 460–474. 79 indexed citations
18.
Kishore, Kamal, Stefano de Pretis, Ryan Lister, et al.. (2015). methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data. BMC Bioinformatics. 16(1). 313–313. 51 indexed citations
19.
Melloni, Giorgio, Stefano de Pretis, Luca Mazzarella, et al.. (2014). DOTS-Finder: a comprehensive tool for assessing driver genes in cancer genomes. Genome Medicine. 6(6). 44–44. 21 indexed citations
20.
Pretis, Stefano de & Mattia Pelizzola. (2014). Computational and experimental methods to decipher the epigenetic code. Frontiers in Genetics. 5. 335–335. 5 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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