Catia Andreassi

2.3k total citations · 1 hit paper
23 papers, 1.8k citations indexed

About

Catia Andreassi is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Catia Andreassi has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Surgery. Recurrent topics in Catia Andreassi's work include RNA modifications and cancer (12 papers), Neurogenetic and Muscular Disorders Research (9 papers) and RNA Research and Splicing (9 papers). Catia Andreassi is often cited by papers focused on RNA modifications and cancer (12 papers), Neurogenetic and Muscular Disorders Research (9 papers) and RNA Research and Splicing (9 papers). Catia Andreassi collaborates with scholars based in United Kingdom, Italy and United States. Catia Andreassi's co-authors include Sibylle Jablonka, Michael Sendtner, Kathrin N. Karle, Umrao R. Monani, Wilfried Rossoll, Adolfo Saiardi, Christina Brahe, Richard Mitter, Salvatore Fusco and Serena De Vita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and The Journal of Cell Biology.

In The Last Decade

Catia Andreassi

22 papers receiving 1.8k citations

Hit Papers

Smn, the spinal muscular atrophy–determining gene product... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catia Andreassi United Kingdom 15 1.5k 979 273 235 124 23 1.8k
Markus Rießland Germany 19 1.3k 0.9× 1.1k 1.1× 371 1.4× 135 0.6× 170 1.4× 32 1.6k
J. Simon Lunn United States 18 1.0k 0.7× 342 0.3× 116 0.4× 272 1.2× 104 0.8× 20 1.4k
Martina Nardini Italy 15 693 0.5× 448 0.5× 133 0.5× 237 1.0× 54 0.4× 17 1.0k
Matthew D. Howell United States 16 613 0.4× 442 0.5× 140 0.5× 163 0.7× 45 0.4× 29 934
Tara Martinez United States 9 581 0.4× 422 0.4× 143 0.5× 209 0.9× 37 0.3× 9 899
Wilfried Rossoll United States 27 2.8k 1.8× 2.2k 2.2× 387 1.4× 322 1.4× 216 1.7× 40 3.4k
Virginia B. Mattis United States 21 2.1k 1.4× 527 0.5× 274 1.0× 782 3.3× 194 1.6× 31 2.4k
Claudia Fallini United States 19 1.4k 0.9× 879 0.9× 58 0.2× 212 0.9× 79 0.6× 24 1.8k
Giulietta Riboldi Italy 19 846 0.6× 393 0.4× 98 0.4× 353 1.5× 73 0.6× 43 1.4k
Lidia De Filippis Italy 22 849 0.6× 239 0.2× 77 0.3× 411 1.7× 121 1.0× 43 1.6k

Countries citing papers authored by Catia Andreassi

Since Specialization
Citations

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

Fields of papers citing papers by Catia Andreassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catia Andreassi

This figure shows the co-authorship network connecting the top 25 collaborators of Catia Andreassi. A scholar is included among the top collaborators of Catia Andreassi 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 Catia Andreassi. Catia Andreassi 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.
Clements, Melanie, Wenhao Tang, Elitza Deltcheva, et al.. (2023). Injury primes mutation-bearing astrocytes for dedifferentiation in later life. Current Biology. 33(6). 1082–1098.e8. 7 indexed citations
2.
Luisier, Raphaëlle, et al.. (2023). The predicted RNA-binding protein regulome of axonal mRNAs. Genome Research. 33(9). 1497–1512. 4 indexed citations
3.
Andreassi, Catia, Raphaëlle Luisier, Tchern Lenn, et al.. (2021). Cytoplasmic cleavage of IMPA1 3′ UTR is necessary for maintaining axon integrity. Cell Reports. 34(8). 108778–108778. 25 indexed citations
4.
Scott-Solomon, Emily, Catia Andreassi, Emilie Logie, et al.. (2019). Regulation of NGF Signaling by an Axonal Untranslated mRNA. Neuron. 102(3). 553–563.e8. 31 indexed citations
5.
Andreassi, Catia, et al.. (2018). Post-transcriptional Processing of mRNA in Neurons: The Vestiges of the RNA World Drive Transcriptome Diversity. Frontiers in Molecular Neuroscience. 11. 304–304. 22 indexed citations
6.
Burton, Adam, et al.. (2013). Inositol pyrophosphates regulate JMJD2C-dependent histone demethylation. Proceedings of the National Academy of Sciences. 110(47). 18970–18975. 58 indexed citations
7.
Garedew, Assegid, Catia Andreassi, & Salvador Moncada. (2012). Mitochondrial Dynamics, Biogenesis, and Function Are Coordinated with the Cell Cycle by APC/C-CDH1 (Retraction of vol 15, pg 466, 2012). UCL Discovery (University College London). 5 indexed citations
8.
Andreassi, Catia, et al.. (2010). An NGF-responsive element targets myo-inositol monophosphatase-1 mRNA to sympathetic neuron axons. Nature Neuroscience. 13(3). 291–301. 149 indexed citations
9.
Andreassi, Catia, et al.. (2009). To localize or not to localize: mRNA fate is in 3′UTR ends. Trends in Cell Biology. 19(9). 465–474. 263 indexed citations
10.
Monani, U. R., Michael Sendtner, David Parsons, et al.. (2007). The human centromeric survival motor neuron gene (SMN2) rescues embryonic lethality in Smn(-/-) mice and results in a mouse with spinal muscular atrophy (vol 9, pg 333, 2000). UCL Discovery (University College London). 1 indexed citations
11.
Jablonka, Sibylle, Kathrin N. Karle, Beatrice Sandner, et al.. (2006). Distinct and overlapping alterations in motor and sensory neurons in a mouse model of spinal muscular atrophy. Human Molecular Genetics. 15(3). 511–518. 72 indexed citations
12.
Rossoll, Wilfried, Sibylle Jablonka, Catia Andreassi, et al.. (2003). Smn, the spinal muscular atrophy–determining gene product, modulates axon growth and localization of β-actin mRNA in growth cones of motoneurons. The Journal of Cell Biology. 163(4). 801–812. 523 indexed citations breakdown →
13.
Andreassi, Catia, Carla Angelozzi, Francesco Danilo Tiziano, et al.. (2003). Phenylbutyrate increases SMN expression in vitro: relevance for treatment of spinal muscular atrophy. European Journal of Human Genetics. 12(1). 59–65. 203 indexed citations
15.
Andreassi, Catia, Carla Angelozzi, Tiziana Vitali, et al.. (2002). Upregulation of SMN2 gene expression by 4-phenylbutyrate: relevance for a therapeutic approach to spinal muscular atrophy.. UCL Discovery (University College London). 2 indexed citations
17.
Andreassi, Catia, A. Zoli, Flavia Scuderi, et al.. (2001). Anticardiolipin Antibodies in Patients with Primary Antiphospholipid Syndrome: A Correlation Between IgG Titre and Antibody-Induced Cell Dysfunctions in Neuronal Cell Cultures. Clinical Rheumatology. 20(5). 314–318. 8 indexed citations
18.
Andreassi, Catia. (2001). Aclarubicin treatment restores SMN levels to cells derived from type I spinal muscular atrophy patients. Human Molecular Genetics. 10(24). 2841–2849. 183 indexed citations
20.
Andreassi, Catia, et al.. (1998). Antiphospholipid antibodies bind to rat cerebellar granule cells: the role of N-methyl-d-aspartate receptors. Neuroscience Letters. 257(2). 116–118. 15 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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