Laura Cantini

1.2k total citations
27 papers, 589 citations indexed

About

Laura Cantini is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Laura Cantini has authored 27 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Laura Cantini's work include Bioinformatics and Genomic Networks (14 papers), Single-cell and spatial transcriptomics (12 papers) and Gene expression and cancer classification (10 papers). Laura Cantini is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), Single-cell and spatial transcriptomics (12 papers) and Gene expression and cancer classification (10 papers). Laura Cantini collaborates with scholars based in France, Italy and Kazakhstan. Laura Cantini's co-authors include Michele Caselle, Enzo Médico, Denis Thieffry, Emmanuel Barillot, Andreï Zinovyev, Santo Fortunato, Anaı̈s Baudot, Céline Hernandez, Aurélien Naldi and Pooya Zakeri and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Methods.

In The Last Decade

Laura Cantini

26 papers receiving 583 citations

Peers

Laura Cantini

CTM

ONCOL

Tolga Can Türkiye

Xiangtian Yu China

Guosheng Han China

Maria Secrier United Kingdom

Chen‐Hsiang Yeang Taiwan

Alberto Valdeolivas Germany

Yuexu Jiang United States

Haiyan Hu United States

Jesse Paquette United States

Fabian Fröhlich Germany

Tolga Can Türkiye

Laura Cantini

646 ×1.4

110 ×0.9

90 ×1.9

CTM

59 ×1.3

36 ×1.0

ONCOL

Citations per year, relative to Laura Cantini Laura Cantini (= 1×) peers Tolga Can

Countries citing papers authored by Laura Cantini

Since Specialization

Citations

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

Fields of papers citing papers by Laura Cantini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Cantini

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

All Works

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20 of 20 papers shown

Hirst, David, et al.. (2025). MOTL: enhancing multi-omics matrix factorization with transfer learning. Genome biology. 26(1). 224–224.

Samaran, Jules, et al.. (2025). STORIES: learning cell fate landscapes from spatial transcriptomics using optimal transport. Nature Methods. 23(3). 522–531. 1 indexed citations

Trimbour, Rémi, Ina Maria Deutschmann, & Laura Cantini. (2024). Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS. Bioinformatics. 40(5). 2 indexed citations

Samaran, Jules, Gabriel Peyré, & Laura Cantini. (2024). scConfluence: single-cell diagonal integration with regularized Inverse Optimal Transport on weakly connected features. Nature Communications. 15(1). 7762–7762. 10 indexed citations

Deutschmann, Ina Maria, et al.. (2023). Paired single-cell multi-omics data integration with Mowgli. Nature Communications. 14(1). 7711–7711. 15 indexed citations

Peyré, Gabriel, et al.. (2022). Optimal transport improves cell–cell similarity inference in single-cell omics data. Bioinformatics. 38(8). 2169–2177. 17 indexed citations

Thieffry, Denis, et al.. (2021). Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference Algorithms. Frontiers in Genetics. 12. 28 indexed citations

Cantini, Laura, Pooya Zakeri, Céline Hernandez, et al.. (2021). Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer. Nature Communications. 12(1). 124–124. 112 indexed citations

Zinovyev, Andreï, Urszula Czerwińska, Laura Cantini, et al.. (2020). Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network. PLoS Computational Biology. 16(2). e1007652–e1007652. 2 indexed citations

10.

Colaprico, Antonio, Catharina Olsen, Matthew H. Bailey, et al.. (2020). Interpreting pathways to discover cancer driver genes with Moonlight. Nature Communications. 11(1). 69–69. 62 indexed citations

11.

Cantini, Laura, Ulykbek Kairov, Aurélien de Reyniès, et al.. (2019). Assessing reproducibility of matrix factorization methods in independent transcriptomes. Bioinformatics. 35(21). 4307–4313. 14 indexed citations

12.

Greco, Alessandro, Jon Sánchez-Valle, Véra Pancaldi, et al.. (2019). Molecular Inverse Comorbidity between Alzheimer’s Disease and Lung Cancer: New Insights from Matrix Factorization. International Journal of Molecular Sciences. 20(13). 3114–3114. 11 indexed citations

13.

Cantini, Laura, Ulykbek Kairov, Aurélien de Reyniès, et al.. (2019). Assessing reproducibility of matrix factorization methods in independent transcriptomes. SPIRE - Sciences Po Institutional REpository. 2 indexed citations

14.

Cantini, Laura, Laurence Calzone, Loredana Martignetti, et al.. (2017). Classification of gene signatures for their information value and functional redundancy. npj Systems Biology and Applications. 4(1). 2–2. 35 indexed citations

15.

Cantini, Laura. (2017). A review of computational approaches detecting microRNAs involved in cancer. Frontiers in bioscience. 22(10). 1774–1791. 10 indexed citations

16.

Kairov, Ulykbek, Laura Cantini, Alessandro Greco, et al.. (2017). Determining the optimal number of independent components for reproducible transcriptomic data analysis. BMC Genomics. 18(1). 712–712. 43 indexed citations

17.

Cantini, Laura, Enzo Médico, Santo Fortunato, & Michele Caselle. (2015). Detection of gene communities in multi-networks reveals cancer drivers. Scientific Reports. 5(1). 17386–17386. 82 indexed citations

18.

Cantini, Laura, Claudio Isella, Consalvo Petti, et al.. (2015). MicroRNA–mRNA interactions underlying colorectal cancer molecular subtypes. Nature Communications. 6(1). 8878–8878. 58 indexed citations

19.

Cantini, Laura, et al.. (2013). Stochastic amplification of spatial modes in a system with one diffusing species. Journal of Mathematical Biology. 69(6-7). 1585–1608. 8 indexed citations

20.

Cantini, Laura, et al.. (2005). Correlation between strand asymmetry and phylogeny in mitochondrial DNA. Journal of Theoretical Biology. 236(4). 422–426. 2 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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