Simone Massalini

1.6k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Simone Massalini is a scholar working on Molecular Biology, Cancer Research and Developmental Neuroscience. According to data from OpenAlex, Simone Massalini has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Developmental Neuroscience. Recurrent topics in Simone Massalini's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). Simone Massalini is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). Simone Massalini collaborates with scholars based in Germany, United Kingdom and Spain. Simone Massalini's co-authors include Silvia Anna Ciafrè, Maria Giulia Farace, Silvia Galardi, Giovanni Vanni Frajese, Ezio Giorda, Neri Mercatelli, Federico Calegari, Andreas Dahl, Mathias Lesche and Martina Dori and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Development.

In The Last Decade

Simone Massalini

16 papers receiving 1.3k citations

Hit Papers

miR-221 and miR-222 Expression Affects the Proliferation ... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Massalini Germany 13 1.0k 828 106 83 82 16 1.3k
Ulrich Putz Australia 17 1.1k 1.1× 432 0.5× 56 0.5× 169 2.0× 63 0.8× 21 1.4k
Ernesto Lujan United States 6 1.7k 1.7× 456 0.6× 147 1.4× 124 1.5× 76 0.9× 8 1.8k
Claudio Maderna Italy 10 687 0.7× 403 0.5× 67 0.6× 56 0.7× 43 0.5× 13 1.0k
Jiajie Xi China 17 1.2k 1.2× 380 0.5× 205 1.9× 287 3.5× 100 1.2× 29 1.5k
Pia Rivetti di Val Cervo Italy 10 874 0.8× 426 0.5× 139 1.3× 188 2.3× 76 0.9× 11 1.2k
Sylvia Eisele United States 10 426 0.4× 375 0.5× 62 0.6× 44 0.5× 51 0.6× 12 867
Robert Lu Australia 10 1.0k 1.0× 578 0.7× 30 0.3× 43 0.5× 238 2.9× 16 1.3k
P. Dane Witmer United States 11 747 0.7× 598 0.7× 23 0.2× 48 0.6× 119 1.5× 14 1.1k
Sara Becker-Catania United States 13 850 0.8× 310 0.4× 192 1.8× 174 2.1× 138 1.7× 15 1.2k
Angelique M. Nelson United States 17 2.0k 1.9× 392 0.5× 66 0.6× 115 1.4× 198 2.4× 20 2.3k

Countries citing papers authored by Simone Massalini

Since Specialization
Citations

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

Fields of papers citing papers by Simone Massalini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Massalini

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

All Works

16 of 16 papers shown
1.
Massalini, Simone, et al.. (2022). Mesoporous Silica-Based Nanoparticles as Non-Viral Gene Delivery Platform for Treating Retinitis Pigmentosa. Journal of Clinical Medicine. 11(8). 2170–2170. 17 indexed citations
2.
Dori, Martina, Mathias Lesche, Simone Massalini, et al.. (2020). MicroRNA profiling of mouse cortical progenitors and neurons reveals miR-486-5p as a regulator of neurogenesis. Development. 147(9). 18 indexed citations
3.
Massalini, Simone, et al.. (2020). A Highly Conserved Circular RNA Is Required to Keep Neural Cells in a Progenitor State in the Mammalian Brain. Cell Reports. 30(7). 2170–2179.e5. 58 indexed citations
4.
Dori, Martina, et al.. (2019). Sequence and expression levels of circular RNAs in progenitor cell types during mouse corticogenesis. Life Science Alliance. 2(2). e201900354–e201900354. 10 indexed citations
5.
Calado, Sofia M., Berta de la Cerda, Simone Massalini, et al.. (2019). Retinal pigment epithelium degeneration caused by aggregation of PRPF31 and the role of HSP70 family of proteins. Molecular Medicine. 26(1). 1–1. 30 indexed citations
6.
Marichal, Nicolás, et al.. (2019). An increase in neural stem cells and olfactory bulb adult neurogenesis improves discrimination of highly similar odorants. The EMBO Journal. 38(6). 57 indexed citations
7.
Aprea, Julieta, Mathias Lesche, Simone Massalini, et al.. (2015). Identification and expression patterns of novel long non-coding RNAs in neural progenitors of the developing mammalian cortex. PubMed. 2(1). e995524–e995524. 12 indexed citations
8.
Artegiani, Benedetta, et al.. (2014). Tox: a multifunctional transcription factor and novel regulator of mammalian corticogenesis. The EMBO Journal. 34(7). 896–910. 38 indexed citations
9.
Aprea, Julieta, Martina Dori, Tanay Ghosh, et al.. (2013). Transcriptome sequencing during mouse brain development identifies long non‐coding RNAs functionally involved in neurogenic commitment. The EMBO Journal. 32(24). 3145–3160. 176 indexed citations
10.
Cerda, Berta de la, Francisco J. Diaz‐Corrales, Simone Massalini, et al.. (2013). ATR localizes to the photoreceptor connecting cilium and deficiency leads to severe photoreceptor degeneration in mice. Human Molecular Genetics. 22(8). 1507–1515. 27 indexed citations
11.
Garita‐Hernandez, Marcela, Francisco J. Diaz‐Corrales, Dunja Lukovic, et al.. (2013). Hypoxia Increases the Yield of Photoreceptors Differentiating from Mouse Embryonic Stem Cells and Improves the Modeling of Retinogenesis In Vitro. Stem Cells. 31(5). 966–978. 37 indexed citations
12.
Massalini, Simone, Serena Pellegatta, Federica Pisati, et al.. (2009). Reelin affects chain-migration and differentiation of neural precursor cells. Molecular and Cellular Neuroscience. 42(4). 341–349. 30 indexed citations
13.
Florian, Maria Carolina, Isabella Massimi, Carlo Dominici, et al.. (2009). MiR‐128 up‐regulation inhibits Reelin and DCX expression and reduces neuroblastoma cell motility and invasiveness. The FASEB Journal. 23(12). 4276–4287. 133 indexed citations
14.
Galardi, Silvia, Neri Mercatelli, Ezio Giorda, et al.. (2007). miR-221 and miR-222 Expression Affects the Proliferation Potential of Human Prostate Carcinoma Cell Lines by Targeting p27Kip1. Journal of Biological Chemistry. 282(32). 23716–23724. 601 indexed citations breakdown →
15.
Galardi, Silvia, et al.. (2007). miR-221とmiR-222の発現はp27Kip1を標的にすることでヒト前立腺癌細胞株の増殖能に影響する | 文献情報 | J-GLOBAL 科学技術総合リンクセンター. Journal of Biological Chemistry. 282(32). 23716–23724. 1 indexed citations
16.
Niola, Francesco, Simone Massalini, Annunziato Mangiola, et al.. (2006). A plasmid-encoded VEGF siRNA reduces glioblastoma angiogenesis and its combination with interleukin-4 blocks tumor growth in a xenograft mouse model. Cancer Biology & Therapy. 5(2). 174–179. 50 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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