Sofia Mosci

812 total citations
22 papers, 487 citations indexed

About

Sofia Mosci is a scholar working on Computational Mechanics, Molecular Biology and Cancer Research. According to data from OpenAlex, Sofia Mosci has authored 22 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 7 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Sofia Mosci's work include Sparse and Compressive Sensing Techniques (8 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Neuroblastoma Research and Treatments (4 papers). Sofia Mosci is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Neuroblastoma Research and Treatments (4 papers). Sofia Mosci collaborates with scholars based in Italy, United States and Belgium. Sofia Mosci's co-authors include Alessandro Verri, Lorenzo Rosasco, Silvia Villa, Annalisa Barla, Christine De Mol, Matteo Santoro, Francesca Odone, Luigi Varesio, Paolo Fardin and Carlo Mosci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cancer and BMC Genomics.

In The Last Decade

Sofia Mosci

22 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sofia Mosci Italy 13 147 106 102 101 86 22 487
Zhihua Zhang China 14 69 0.5× 91 0.9× 34 0.3× 72 0.7× 16 0.2× 57 743
Xiaodong Cai United States 17 273 1.9× 54 0.5× 68 0.7× 18 0.2× 19 0.2× 44 950
Kai Shen China 12 64 0.4× 288 2.7× 43 0.4× 47 0.5× 7 0.1× 88 790
Martin Slawski United States 14 220 1.5× 353 3.3× 39 0.4× 64 0.6× 60 0.7× 35 916
Hong Ling United States 10 120 0.8× 13 0.1× 49 0.5× 45 0.4× 17 0.2× 28 519
Pekka Ruusuvuori Finland 22 496 3.4× 378 3.6× 132 1.3× 266 2.6× 12 0.1× 80 1.3k
Andrea Tangherloni Italy 15 316 2.1× 276 2.6× 49 0.5× 279 2.8× 8 0.1× 37 966
Ioan Tăbuş Finland 17 307 2.1× 174 1.6× 36 0.4× 344 3.4× 25 0.3× 101 822
Zheng Miao China 12 40 0.3× 185 1.7× 31 0.3× 441 4.4× 194 2.3× 28 863
Tony Pan United States 17 201 1.4× 347 3.3× 62 0.6× 286 2.8× 6 0.1× 72 940

Countries citing papers authored by Sofia Mosci

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Mosci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofia Mosci

This figure shows the co-authorship network connecting the top 25 collaborators of Sofia Mosci. A scholar is included among the top collaborators of Sofia Mosci 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 Sofia Mosci. Sofia Mosci 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.
Macchi, Marco, et al.. (2023). Operations-aware novelty detection framework for CNC machine tools: proposal and application. The International Journal of Advanced Manufacturing Technology. 128(9-10). 4491–4512. 2 indexed citations
2.
Mosci, Carlo, Francesco Lanza, Sofia Mosci, & Annalisa Barla. (2014). Quantitative echography in primary uveal melanoma treated by proton beam therapy. Canadian Journal of Ophthalmology. 49(1). 60–65. 8 indexed citations
3.
Scala, Marco, Francesco Spagnolo, Michela Massa, et al.. (2014). The use of platelet-rich plasma gel in patients with mixed tumour undergoing superficial parotidectomy: a randomized study.. PubMed. 28(1). 121–4. 16 indexed citations
4.
Mascelli, Samantha, Annalisa Barla, Alessandro Raso, et al.. (2013). Molecular fingerprinting reflects different histotypes and brain region in low grade gliomas. BMC Cancer. 13(1). 387–387. 10 indexed citations
5.
Villa, Silvia, Lorenzo Rosasco, Sofia Mosci, & Alessandro Verri. (2013). Proximal methods for the latent group lasso penalty. Computational Optimization and Applications. 58(2). 381–407. 16 indexed citations
6.
Mosci, Carlo, Francesco Lanza, Annalisa Barla, et al.. (2012). Comparison of Clinical Outcomes for Patients with Large Choroidal Melanoma after Primary Treatment with Enucleation or Proton Beam Radiotherapy. Ophthalmologica. 227(4). 190–196. 27 indexed citations
7.
Rosasco, Lorenzo, Silvia Villa, Sofia Mosci, Matteo Santoro, & Alessandro Verri. (2012). Nonparametric sparsity and regularization. Journal of Machine Learning Research. 14(1). 1665–1714. 29 indexed citations
8.
Mosci, Sofia, Lorenzo Rosasco, Matteo Santoro, Alessandro Verri, & Silvia Villa. (2012). Is there sparsity beyond additive models?. IFAC Proceedings Volumes. 45(16). 971–976. 7 indexed citations
9.
Villa, Silvia, Lorenzo Rosasco, Sofia Mosci, & Alessandro Verri. (2010). Consistency of learning algorithms using Attouch–Wets convergence. Optimization. 61(3). 287–305. 3 indexed citations
10.
Rosasco, Lorenzo, Matteo Santoro, Sofia Mosci, Alessandro Verri, & Silvia Villa. (2010). A Regularization Approach to Nonlinear Variable Selection. CINECA IRIS Institutial Research Information System (University of Genoa). 653–660. 9 indexed citations
11.
Mosci, Sofia, Silvia Villa, Alessandro Verri, & Lorenzo Rosasco. (2010). A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups. CINECA IRIS Institutial Research Information System (University of Genoa). 23. 2604–2612. 29 indexed citations
12.
Fardin, Paolo, Annalisa Barla, Sofia Mosci, et al.. (2010). A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients. Molecular Cancer. 9(1). 185–185. 78 indexed citations
13.
Fardin, Paolo, Annalisa Barla, Sofia Mosci, et al.. (2010). Identification of multiple hypoxia signatures in neuroblastoma cell lines by l1-l2 regularization and data reduction.. PubMed. 2010. 878709–878709. 8 indexed citations
14.
Fardin, Paolo, Annalisa Barla, Sofia Mosci, et al.. (2010). Identification of Multiple Hypoxia Signatures in Neuroblastoma Cell Lines byl1-l2Regularization and Data Reduction. SHILAP Revista de lepidopterología. 2010. 1–11. 7 indexed citations
15.
Fardin, Paolo, Annalisa Barla, Sofia Mosci, et al.. (2009). The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines. BMC Genomics. 10(1). 474–474. 21 indexed citations
16.
Mol, Christine De, et al.. (2009). A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data. Journal of Computational Biology. 16(5). 677–690. 46 indexed citations
17.
Rosasco, Lorenzo, Alessandro Verri, Matteo Santoro, Sofia Mosci, & Silvia Villa. (2009). Iterative Projection Methods for Structured Sparsity Regularization. DSpace@MIT (Massachusetts Institute of Technology). 63 indexed citations
18.
Barla, Annalisa, Sofia Mosci, Lorenzo Rosasco, & Alessandro Verri. (2008). A method for robust variable selection with significance assessment. CINECA IRIS Institutial Research Information System (University of Genoa). 83–88. 14 indexed citations
19.
Mosci, Sofia, Annalisa Barla, Alessandro Verri, & Lorenzo Rosasco. (2008). Finding structured gene signatures. CINECA IRIS Institutial Research Information System (University of Genoa). 158–165. 4 indexed citations
20.
Mosci, Sofia, et al.. (2008). Feature selection for high-dimensional data. Computational Management Science. 6(1). 25–40. 59 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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