Francesca Cordero

6.8k total citations
82 papers, 1.8k citations indexed

About

Francesca Cordero is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Francesca Cordero has authored 82 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 22 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Francesca Cordero's work include Gene Regulatory Network Analysis (15 papers), Cancer-related molecular mechanisms research (13 papers) and Genomics and Phylogenetic Studies (10 papers). Francesca Cordero is often cited by papers focused on Gene Regulatory Network Analysis (15 papers), Cancer-related molecular mechanisms research (13 papers) and Genomics and Phylogenetic Studies (10 papers). Francesca Cordero collaborates with scholars based in Italy, United Kingdom and United States. Francesca Cordero's co-authors include Raffaele Calogero, Marco Beccuti, Giulio Ferrero, Federica Cavallo, Remo Sanges, Susanna Donatelli, Maddalena Arigoni, Alessio Naccarati, Matteo Carrara and Barbara Pardini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Francesca Cordero

80 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Cordero Italy 24 1.2k 588 375 161 142 82 1.8k
Daoud Meerzaman United States 21 1.3k 1.1× 375 0.6× 473 1.3× 256 1.6× 230 1.6× 59 1.9k
Young‐Ho Ahn South Korea 28 1.5k 1.3× 844 1.4× 508 1.4× 178 1.1× 250 1.8× 78 2.3k
Li Su Taiwan 24 1.1k 1.0× 358 0.6× 388 1.0× 264 1.6× 98 0.7× 66 1.7k
Je‐Gun Joung South Korea 26 1.7k 1.5× 586 1.0× 382 1.0× 247 1.5× 138 1.0× 88 3.1k
Bhavana Harsha United Kingdom 6 1.4k 1.2× 574 1.0× 323 0.9× 229 1.4× 79 0.6× 10 1.9k
Leanne de Koning France 27 1.5k 1.3× 445 0.8× 486 1.3× 379 2.4× 164 1.2× 66 2.3k
Junfei Zhao United States 25 1.6k 1.4× 587 1.0× 398 1.1× 200 1.2× 284 2.0× 81 2.4k
Andrea H. Bild United States 22 1.2k 1.0× 504 0.9× 704 1.9× 278 1.7× 188 1.3× 56 1.9k
Qingrong Chen United States 25 1.3k 1.1× 450 0.8× 388 1.0× 216 1.3× 240 1.7× 61 2.0k
Päivi Östling Finland 22 1.4k 1.2× 689 1.2× 361 1.0× 240 1.5× 110 0.8× 44 2.0k

Countries citing papers authored by Francesca Cordero

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Cordero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Cordero

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Cordero. A scholar is included among the top collaborators of Francesca Cordero 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 Francesca Cordero. Francesca Cordero 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.
Zhang, Heng, Kelly Hodge, Francesca Cordero, et al.. (2025). Luminescent sensing of conformational integrin activation in living cells. Cell Reports. 44(2). 115319–115319. 1 indexed citations
2.
Ferrero, Giulio, Antonino Belfiore, Barbara Pardini, et al.. (2024). Modulation of faecal miRNAs highlights the preventive effects of a Mediterranean low-inflammatory dietary intervention. Clinical Nutrition. 43(4). 951–959. 4 indexed citations
3.
Arigoni, Maddalena, Federica Riccardo, Elisa Balmas, et al.. (2024). A single cell RNAseq benchmark experiment embedding “controlled” cancer heterogeneity. Scientific Data. 11(1). 159–159. 3 indexed citations
4.
Bergandi, Loredana, Gianluca Gennarelli, Marco Beccuti, et al.. (2024). A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development. Journal of Ovarian Research. 17(1). 63–63. 9 indexed citations
5.
Grassi, Elena, Francesco Sassi, Raffaele Calogero, et al.. (2023). CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system. Bioinformatics. 39(5). 6 indexed citations
6.
Valdembri, Donatella, Guido Serini, Federica Riccardo, et al.. (2023). OmniReprodubileCellAnalysis: a comprehensive toolbox for the analysis of cellular biology data. 1 indexed citations
7.
Cordero, Francesca, Marco Beccuti, Maddalena Arigoni, et al.. (2021). Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining. npj Systems Biology and Applications. 7(1). 1–1. 28 indexed citations
8.
Arigoni, Maddalena, Silvia Benvenuti, Davide Cacchiarelli, et al.. (2021). MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning. International Journal of Molecular Sciences. 22(8). 4217–4217. 6 indexed citations
9.
Beccuti, Marco, et al.. (2021). Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis. International Journal of Molecular Sciences. 22(23). 12755–12755. 12 indexed citations
10.
Rolla, Simona, Niccolò Rossi, Davide Brusa, et al.. (2021). Immune Trait Shifts in Association With Tobacco Smoking: A Study in Healthy Women. Frontiers in Immunology. 12. 637974–637974. 23 indexed citations
11.
Wang, Shaorui, Kevin Romanak, Sonia Tarallo, et al.. (2020). The use of silicone wristbands to evaluate personal exposure to semi-volatile organic chemicals (SVOCs) in France and Italy. Environmental Pollution. 267. 115490–115490. 20 indexed citations
12.
Maglione, Alessandro, Marzio Pennisi, Francesco Pappalardo, et al.. (2020). Computational modeling of the immune response in multiple sclerosis using epimod framework. BMC Bioinformatics. 21(S17). 550–550. 11 indexed citations
13.
Ferrero, Giulio, Valentina Miano, Raffaele Calogero, et al.. (2019). Docker4Circ: A Framework for the Reproducible Characterization of circRNAs from RNA-Seq Data. International Journal of Molecular Sciences. 21(1). 293–293. 8 indexed citations
14.
Cordero, Francesca, Marco Beccuti, Maddalena Arigoni, et al.. (2019). rCASC: reproducible classification analysis of single-cell sequencing data. GigaScience. 8(9). 23 indexed citations
15.
Panero, Riccardo, Maddalena Arigoni, Martina Olivero, et al.. (2018). Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines. BMC Bioinformatics. 19(S10). 349–349. 32 indexed citations
16.
Badino, P., et al.. (2016). Biologic Data of Cynomolgus Monkeys Maintained under Laboratory Conditions. PLoS ONE. 11(6). e0157003–e0157003. 20 indexed citations
17.
Fornari, Chiara, Marco Beccuti, Stefania Lanzardo, et al.. (2014). A Mathematical-Biological Joint Effort to Investigate the Tumor-Initiating Ability of Cancer Stem Cells. PLoS ONE. 9(9). e106193–e106193. 15 indexed citations
18.
Slyšková, Jana, Francesca Cordero, Barbara Pardini, et al.. (2014). Post‐treatment recovery of suboptimal DNA repair capacity and gene expression levels in colorectal cancer patients. Molecular Carcinogenesis. 54(9). 769–778. 16 indexed citations
19.
Cordero, Francesca, Marco Beccuti, Chiara Fornari, et al.. (2013). Multi-level model for the investigation of oncoantigen-driven vaccination effect. BMC Bioinformatics. 14(S6). S11–S11. 9 indexed citations
20.
Franceschinis, G., et al.. (2004). RRE: a tool for the extraction of non-coding regions surrounding annotated genes from genomic datasets. Bioinformatics. 20(16). 2848–2850. 8 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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