Silvia Maretto

2.2k total citations · 1 hit paper
9 papers, 1.6k citations indexed

About

Silvia Maretto is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Silvia Maretto has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Surgery. Recurrent topics in Silvia Maretto's work include Renal and related cancers (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and TGF-β signaling in diseases (2 papers). Silvia Maretto is often cited by papers focused on Renal and related cancers (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and TGF-β signaling in diseases (2 papers). Silvia Maretto collaborates with scholars based in Italy, United Kingdom and Ireland. Silvia Maretto's co-authors include Stefano Piccolo, Sirio Dupont, Michelangelo Cordenonsi, Dino Volpin, Giorgio M. Bressan, Paola Braghetta, Vania Broccoli, A. Bassim Hassan, Carol Imbriano and Alessandra Insinga and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Silvia Maretto

9 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mapping Wnt/β-catenin signaling during mouse development and in colorectal tumors

2003 684 citations Silvia Maretto, Michelangelo Cordenonsi et al. Proceedings of the National Academy of Sciences profile →

Peers

Silvia Maretto

MB

GENET

CMN

ONCOL

CB

Véronique Brault France

Pascale Saugier-Véber France

Jo-Anne Hongo United States

Mirja Somer Finland

Masato Hoshi Japan

Mariangela Amenduni Italy

Tomohisa Furuta Japan

Sylvie Taviaux France

Vicki E. Hammond Australia

Ghayda Mirzaa United States

Véronique Brault France

Silvia Maretto

2.0k ×1.6

MB

644 ×2.0

GENET

305 ×1.1

CMN

134 ×0.7

ONCOL

239 ×1.9

CB

Citations per year, relative to Silvia Maretto Silvia Maretto (= 1×) peers Véronique Brault

Countries citing papers authored by Silvia Maretto

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Maretto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Maretto

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Maretto. A scholar is included among the top collaborators of Silvia Maretto 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 Silvia Maretto. Silvia Maretto 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.

Tsanov, Nikolay, et al.. (2021). The nuclear kinesin KIF18B promotes 53BP1-mediated DNA double-strand break repair. Cell Reports. 35(13). 109306–109306. 17 indexed citations

2.

Cormican, Sarah, Tomás P. Griffin, Silvia Maretto, et al.. (2018). Chronic Kidney Disease Severity Is Associated With Selective Expansion of a Distinctive Intermediate Monocyte Subpopulation. Frontiers in Immunology. 9. 2845–2845. 29 indexed citations

3.

Schulz, Ramona, Silvia Maretto, Ita Costello, et al.. (2011). The fibronectin leucine-rich repeat transmembrane protein Flrt2 is required in the epicardium to promote heart morphogenesis. Development. 138(7). 1297–1308. 40 indexed citations

4.

Maretto, Silvia, et al.. (2008). Ventral closure, headfold fusion and definitive endoderm migration defects in mouse embryos lacking the fibronectin leucine-rich transmembrane protein FLRT3. Developmental Biology. 318(1). 184–193. 51 indexed citations

5.

Arnold, Sebastian J., Silvia Maretto, Ayesha Islam, Elizabeth K. Bikoff, & Elizabeth J. Robertson. (2006). Dose-dependent Smad1, Smad5 and Smad8 signaling in the early mouse embryo. Developmental Biology. 296(1). 104–118. 127 indexed citations

6.

O’Brien, William T., F.A. Jove, James R. Woodgett, et al.. (2004). Glycogen Synthase Kinase-3β Haploinsufficiency Mimics the Behavioral and Molecular Effects of Lithium. Journal of Neuroscience. 24(30). 6791–6798. 360 indexed citations

7.

Maretto, Silvia, Michelangelo Cordenonsi, Sirio Dupont, et al.. (2003). Mapping Wnt/β-catenin signaling during mouse development and in colorectal tumors. Proceedings of the National Academy of Sciences. 100(6). 3299–3304. 684 indexed citations breakdown →

8.

Ferrari, Alessandra, et al.. (2003). SREBP contributes to induction of collagen VI transcription by serum starvation. Biochemical and Biophysical Research Communications. 313(3). 600–605. 11 indexed citations

9.

Cordenonsi, Michelangelo, Sirio Dupont, Silvia Maretto, et al.. (2003). Links between Tumor Suppressors. Cell. 113(3). 301–314. 313 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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