Chiara Damiani

829 total citations
22 papers, 406 citations indexed

About

Chiara Damiani is a scholar working on Molecular Biology, Biomedical Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Chiara Damiani has authored 22 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Astronomy and Astrophysics. Recurrent topics in Chiara Damiani's work include Microbial Metabolic Engineering and Bioproduction (15 papers), Gene Regulatory Network Analysis (12 papers) and Bioinformatics and Genomic Networks (11 papers). Chiara Damiani is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (15 papers), Gene Regulatory Network Analysis (12 papers) and Bioinformatics and Genomic Networks (11 papers). Chiara Damiani collaborates with scholars based in Italy, United States and Netherlands. Chiara Damiani's co-authors include Marco Vanoni, Dario Pescini, Lilia Alberghina, Alex Graudenzi, Marzia Di Filippo, Giancarlo Mauri, Riccardo Colombo, Daniela Gaglio, Roberto Serra and Marco Villani and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Current Opinion in Biotechnology.

In The Last Decade

Chiara Damiani

22 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Damiani Italy 12 322 66 45 33 27 22 406
Mukhtar Ullah Pakistan 11 395 1.2× 36 0.5× 26 0.6× 60 1.8× 28 1.0× 21 461
Jörg Ackermann Germany 15 588 1.8× 35 0.5× 47 1.0× 39 1.2× 39 1.4× 50 812
J. Krishnan United Kingdom 12 286 0.9× 10 0.2× 56 1.2× 51 1.5× 30 1.1× 42 401
Paul Brazhnik United States 9 531 1.6× 28 0.4× 17 0.4× 96 2.9× 35 1.3× 12 600
Marine Dumousseau United Kingdom 9 491 1.5× 22 0.3× 33 0.7× 39 1.2× 68 2.5× 9 563
Kathy Chen United States 4 513 1.6× 15 0.2× 26 0.6× 60 1.8× 32 1.2× 6 592
Sree N. Sreenath United States 9 207 0.6× 16 0.2× 15 0.3× 18 0.5× 17 0.6× 17 284
Alessandro Di Cara Switzerland 9 535 1.7× 36 0.5× 18 0.4× 80 2.4× 45 1.7× 17 671
Laura Cantini France 12 447 1.4× 127 1.9× 15 0.3× 32 1.0× 48 1.8× 27 589
Aditya Bharadwaj United States 6 428 1.3× 30 0.5× 26 0.6× 20 0.6× 18 0.7× 17 508

Countries citing papers authored by Chiara Damiani

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Damiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Damiani

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Damiani. A scholar is included among the top collaborators of Chiara Damiani 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 Chiara Damiani. Chiara Damiani 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.
Galuzzi, Bruno G., et al.. (2024). Adjusting for false discoveries in constraint-based differential metabolic flux analysis. Journal of Biomedical Informatics. 150. 104597–104597. 1 indexed citations
2.
Galuzzi, Bruno G., Stefano Izzo, Fabio Giampaolo, et al.. (2023). Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. BOA (University of Milano-Bicocca). 185–192. 1 indexed citations
3.
Angaroni, Fabrizio, et al.. (2023). Unity is strength: Improving the detection of adversarial examples with ensemble approaches. Neurocomputing. 554. 126576–126576. 5 indexed citations
4.
Filippo, Marzia Di, Dario Pescini, Bruno G. Galuzzi, et al.. (2022). INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation. PLoS Computational Biology. 18(2). e1009337–e1009337. 39 indexed citations
5.
Galuzzi, Bruno G., Marco Vanoni, & Chiara Damiani. (2022). Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells. BMC Bioinformatics. 23(S6). 445–445. 7 indexed citations
6.
Nobile, Marco S., et al.. (2021). Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models. BMC Bioinformatics. 22(S2). 78–78. 5 indexed citations
7.
Filippo, Marzia Di, Chiara Damiani, & Dario Pescini. (2021). GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction. PLoS Computational Biology. 17(11). e1009550–e1009550. 14 indexed citations
8.
Maspero, Davide, et al.. (2021). Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems. Information and Computation. 281. 104798–104798. 5 indexed citations
9.
Damiani, Chiara, Daniela Gaglio, Elena Sacco, Lilia Alberghina, & Marco Vanoni. (2020). Systems metabolomics: from metabolomic snapshots to design principles. Current Opinion in Biotechnology. 63. 190–199. 37 indexed citations
10.
Damiani, Chiara, Davide Maspero, Marzia Di Filippo, et al.. (2019). Integration of single-cell RNA-seq data into population models to characterize cancer metabolism. PLoS Computational Biology. 15(2). e1006733–e1006733. 74 indexed citations
11.
Graudenzi, Alex, et al.. (2016). CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworks. BMC Bioinformatics. 17(1). 64–64. 10 indexed citations
12.
Filippo, Marzia Di, Riccardo Colombo, Chiara Damiani, et al.. (2016). Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models. Computational Biology and Chemistry. 62. 60–69. 22 indexed citations
13.
Gaglio, Daniela, Silvia Valtorta, Marilena Ripamonti, et al.. (2016). Divergent in vitro/in vivo responses to drug treatments of highly aggressive NIH-Ras cancer cells: a PET imaging and metabolomics-mass-spectrometry study. Oncotarget. 7(32). 52017–52031. 12 indexed citations
14.
Damiani, Chiara, Dario Pescini, Riccardo Colombo, et al.. (2014). An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes. Natural Computing. 13(3). 321–331. 10 indexed citations
15.
Villani, Marco, Alessandro Filisetti, Alex Graudenzi, et al.. (2014). Growth and Division in a Dynamic Protocell Model. Life. 4(4). 837–864. 18 indexed citations
16.
Cazzaniga, Paolo, Chiara Damiani, Daniela Besozzi, et al.. (2014). Computational Strategies for a System-Level Understanding of Metabolism. Metabolites. 4(4). 1034–1087. 29 indexed citations
17.
Damiani, Chiara, Alessandro Filisetti, Alex Graudenzi, & Paola Lecca. (2012). Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks. Computational Biology and Chemistry. 42. 5–17. 13 indexed citations
18.
Graudenzi, Alex, Roberto Serra, Marco Villani, et al.. (2011). Dynamical Properties of a Boolean Model of Gene Regulatory Network with Memory. Journal of Computational Biology. 18(10). 1291–1303. 46 indexed citations
19.
Damiani, Chiara, Roberto Serra, Marco Villani, Stuart Kauffman, & Annamaria Colacci. (2011). Cell–cell interaction and diversity of emergent behaviours. IET Systems Biology. 5(2). 137–144. 26 indexed citations
20.
Damiani, Chiara & Paola Lecca. (2011). Model Identification Using Correlation-Based Inference and Transfer Entropy Estimation. View. 277. 129–134. 4 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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