Ettore Mosca

1.9k total citations
48 papers, 1.0k citations indexed

About

Ettore Mosca is a scholar working on Molecular Biology, Cancer Research and Cognitive Neuroscience. According to data from OpenAlex, Ettore Mosca has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Cognitive Neuroscience. Recurrent topics in Ettore Mosca's work include Bioinformatics and Genomic Networks (23 papers), Gene Regulatory Network Analysis (13 papers) and Gene expression and cancer classification (10 papers). Ettore Mosca is often cited by papers focused on Bioinformatics and Genomic Networks (23 papers), Gene Regulatory Network Analysis (13 papers) and Gene expression and cancer classification (10 papers). Ettore Mosca collaborates with scholars based in Italy, United States and Germany. Ettore Mosca's co-authors include Luciano Milanesi, Matteo Bersanelli, Gastone Castellani, Daniel Remondini, Enrico Giampieri, Claudia Sala, Roberta Alfieri, Ivan Merelli, Amedea Mencarelli and Sandro Sonnino and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Ettore Mosca

46 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ettore Mosca Italy 17 634 115 93 93 74 48 1.0k
Jun Lin China 17 641 1.0× 65 0.6× 146 1.6× 48 0.5× 20 0.3× 50 1.0k
Yanhong Zhang China 18 351 0.6× 86 0.7× 92 1.0× 41 0.4× 40 0.5× 67 938
Siyuan Song China 18 994 1.6× 107 0.9× 105 1.1× 85 0.9× 51 0.7× 96 1.7k
Javad Zahiri Iran 19 1.1k 1.8× 91 0.8× 92 1.0× 39 0.4× 32 0.4× 62 1.6k
Yongqiang Wang China 20 634 1.0× 49 0.4× 149 1.6× 54 0.6× 32 0.4× 65 1.1k
Mona Zamanian Azodi Iran 18 523 0.8× 67 0.6× 114 1.2× 96 1.0× 36 0.5× 101 1.0k
Pablo Marín-García Spain 13 839 1.3× 175 1.5× 157 1.7× 88 0.9× 40 0.5× 24 1.4k
Colette Denis France 21 822 1.3× 75 0.7× 109 1.2× 32 0.3× 45 0.6× 45 1.4k
Hong Qi China 21 676 1.1× 166 1.4× 191 2.1× 76 0.8× 19 0.3× 81 1.4k
Michael V. Osier United States 19 677 1.1× 294 2.6× 166 1.8× 48 0.5× 41 0.6× 35 1.6k

Countries citing papers authored by Ettore Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Ettore Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ettore Mosca

This figure shows the co-authorship network connecting the top 25 collaborators of Ettore Mosca. A scholar is included among the top collaborators of Ettore Mosca 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 Ettore Mosca. Ettore Mosca 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.
Pelucchi, Paride, et al.. (2026). The Zinc Finger Ran-Binding Protein 3 (ZRANB3): An Advanced Perspective. International Journal of Molecular Sciences. 27(2). 574–574.
2.
Nagai, James S., Ettore Mosca, Ivan G. Costa, et al.. (2025). Advances and challenges in cell–cell communication inference: a comprehensive review of tools, resources, and future directions. Briefings in Bioinformatics. 26(3). 3 indexed citations
3.
Angeli, Elena, Paride Pelucchi, Ettore Mosca, et al.. (2025). Role of TMEM230 in the Aberrant Glycosylation in Human Autoimmunity and Cancer. 3(1). 1 indexed citations
4.
Mascia, Elisabetta, Laura Ferrè, Melissa Sorosina, et al.. (2024). Genetic Contribution to Medium-Term Disease Activity in Multiple Sclerosis. Molecular Neurobiology. 62(1). 322–334. 1 indexed citations
5.
Nanni, Noemi Di, Ingrid Cifola, Ileana Zucchi, et al.. (2023). scMuffin: an R package to disentangle solid tumor heterogeneity by single-cell gene expression analysis. BMC Bioinformatics. 24(1). 445–445. 1 indexed citations
6.
Meroni, Marica, Federica Chiappori, Erika Paolini, et al.. (2023). A novel gene signature to diagnose MASLD in metabolically unhealthy obese individuals. Biochemical Pharmacology. 218. 115925–115925. 1 indexed citations
7.
Chiappori, Federica, Francesca Anna Cupaioli, Arianna Consiglio, et al.. (2022). Analysis of Faecal Microbiota and Small ncRNAs in Autism: Detection of miRNAs and piRNAs with Possible Implications in Host–Gut Microbiota Cross-Talk. Nutrients. 14(7). 1340–1340. 22 indexed citations
8.
Drago, Denise, Annapaola Andolfo, Ettore Mosca, et al.. (2021). A novel expressed prostatic secretion (EPS)-urine metabolomic signature for the diagnosis of clinically significant prostate cancer. Cancer Biology and Medicine. 18(2). 604–615. 13 indexed citations
9.
Cupaioli, Francesca Anna, Ettore Mosca, Chiara Magri, et al.. (2020). Assessment of haptoglobin alleles in autism spectrum disorders. Scientific Reports. 10(1). 7758–7758. 4 indexed citations
10.
Nanni, Noemi Di, Matteo Bersanelli, Luciano Milanesi, & Ettore Mosca. (2020). Network Diffusion Promotes the Integrative Analysis of Multiple Omics. Frontiers in Genetics. 11. 106–106. 19 indexed citations
11.
Italiani, Paola, Ettore Mosca, Giacomo Della Camera, et al.. (2020). Profiling the Course of Resolving vs. Persistent Inflammation in Human Monocytes: The Role of IL-1 Family Molecules. Frontiers in Immunology. 11. 1426–1426. 19 indexed citations
12.
Nanni, Noemi Di, Marco Moscatelli, Matteo Gnocchi, Luciano Milanesi, & Ettore Mosca. (2019). isma: an R package for the integrative analysis of mutations detected by multiple pipelines. BMC Bioinformatics. 20(1). 107–107. 6 indexed citations
13.
Barbariga, Marco, Ettore Mosca, F. Bignami, et al.. (2019). The role of extracellular matrix in mouse and human corneal neovascularization. Scientific Reports. 9(1). 14272–14272. 23 indexed citations
14.
Sala, Claudia, Silvia Vitali, Enrico Giampieri, et al.. (2016). Stochastic neutral modelling of the Gut Microbiota’s relative species abundance from next generation sequencing data. BMC Bioinformatics. 17(S2). 16–16. 18 indexed citations
15.
Mosca, Ettore & Luciano Milanesi. (2013). Network-based analysis of omics with multi-objective optimization. Molecular BioSystems. 9(12). 2971–2980. 13 indexed citations
16.
Mosca, Ettore, Matteo Barcella, Roberta Alfieri, et al.. (2011). Systems biology of the metabolic network regulated by the Akt pathway. Biotechnology Advances. 30(1). 131–141. 31 indexed citations
17.
Vezzoli, Giuseppe, Annalisa Terranegra, Teresa Arcidiacono, et al.. (2010). Calcium kidney stones are associated with a haplotype of the calcium-sensing receptor gene regulatory region. Nephrology Dialysis Transplantation. 25(7). 2245–2252. 41 indexed citations
18.
Mosca, Ettore, Roberta Alfieri, Ivan Merelli, et al.. (2010). A multilevel data integration resource for breast cancer study. BMC Systems Biology. 4(1). 76–76. 75 indexed citations
19.
Mosca, Ettore, et al.. (2009). Identification of functionally related genes using data mining and data integration: a breast cancer case study. BMC Bioinformatics. 10(S12). S8–S8. 24 indexed citations
20.
Alfieri, Roberta, Ivan Merelli, Ettore Mosca, & Luciano Milanesi. (2007). A data integration approach for cell cycle analysis oriented to model simulation in systems biology. BMC Systems Biology. 1(1). 35–35. 17 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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