Matteo Osella

1.5k total citations
34 papers, 915 citations indexed

About

Matteo Osella is a scholar working on Molecular Biology, Genetics and Statistical and Nonlinear Physics. According to data from OpenAlex, Matteo Osella has authored 34 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Genetics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Matteo Osella's work include Gene Regulatory Network Analysis (15 papers), Bacterial Genetics and Biotechnology (8 papers) and Evolution and Genetic Dynamics (6 papers). Matteo Osella is often cited by papers focused on Gene Regulatory Network Analysis (15 papers), Bacterial Genetics and Biotechnology (8 papers) and Evolution and Genetic Dynamics (6 papers). Matteo Osella collaborates with scholars based in Italy, France and United States. Matteo Osella's co-authors include Marco Cosentino Lagomarsino, Michele Caselle, Davide Corà, Carla Bosia, Jacopo Grilli, Sander J. Tans, Gabriele Micali, Andrew S. Kennard, Alma Dal Co and Alessandro Testori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Matteo Osella

32 papers receiving 908 citations

Peers

Matteo Osella

MB

GENET

CR

BE

ECOLO

Kirsten L. Frieda United States

Yihan Lin China

Diana Vargas Colombia

Shai Kaplan Israel

Sidhartha Goyal Canada

M. Madan Babu United Kingdom

Lacramioara Bintu United States

Petter Hammar Sweden

Miri Carmi Israel

Tatjana Trcek United States

Kirsten L. Frieda United States

Matteo Osella

1.1k ×1.5

MB

266 ×0.8

GENET

82 ×0.5

CR

94 ×1.6

BE

51 ×1.0

ECOLO

Citations per year, relative to Matteo Osella Matteo Osella (= 1×) peers Kirsten L. Frieda

Countries citing papers authored by Matteo Osella

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Osella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Osella

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Osella. A scholar is included among the top collaborators of Matteo Osella 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 Matteo Osella. Matteo Osella 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

1.

Caselle, Michele, et al.. (2025). Exploring the latent space of transcriptomic data with topic modeling. NAR Genomics and Bioinformatics. 7(2). lqaf049–lqaf049.

2.

Caselle, Michele, et al.. (2025). The intrinsic dimension of gene expression during cell differentiation. Nucleic Acids Research. 53(16).

3.

Caselle, Michele, et al.. (2025). Ranking nodes in bipartite systems with a non-linear iterative map. Communications Physics. 8(1). 2 indexed citations

4.

Singh, Abhyudai, et al.. (2023). Out-of-equilibrium gene expression fluctuations in the presence of extrinsic noise. Physical Biology. 20(5). 56007–56007. 4 indexed citations

5.

Scialdone, Antonio, et al.. (2023). Emergent statistical laws in single-cell transcriptomic data. Physical review. E. 107(4). 44403–44403. 8 indexed citations

6.

Nakahara, Thiago S., M. Makhlouf, Lisa Sara Mathew, et al.. (2022). A 3D transcriptomics atlas of the mouse nose sheds light on the anatomical logic of smell. Cell Reports. 38(12). 110547–110547. 18 indexed citations

7.

Osella, Matteo, et al.. (2022). Multiomics Topic Modeling for Breast Cancer Classification. Cancers. 14(5). 1150–1150. 8 indexed citations

8.

Osella, Matteo, et al.. (2021). The impact of whole genome duplications on the human gene regulatory networks. PLoS Computational Biology. 17(12). e1009638–e1009638. 7 indexed citations

9.

Riba, Andrea, et al.. (2020). A Model-Driven Quantitative Analysis of Retrotransposon Distributions in the Human Genome. Genome Biology and Evolution. 12(11). 2045–2059. 2 indexed citations

10.

Osella, Matteo, et al.. (2020). A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data. Cancers. 12(12). 3799–3799. 14 indexed citations

11.

Micali, Gabriele, Jacopo Grilli, Matteo Osella, & Marco Cosentino Lagomarsino. (2018). Concurrent processes set E. coli cell division. Science Advances. 4(11). eaau3324–eaau3324. 38 indexed citations

12.

Grilli, Jacopo, et al.. (2018). Zipf and Heaps laws from dependency structures in component systems. Physical review. E. 98(1). 12315–12315. 15 indexed citations

13.

Grilli, Jacopo, Clotilde Cadart, Gabriele Micali, Matteo Osella, & Marco Cosentino Lagomarsino. (2018). The Empirical Fluctuation Pattern of E. coli Division Control. Frontiers in Microbiology. 9. 1541–1541. 17 indexed citations

14.

Osella, Matteo, et al.. (2017). Modelling the evolution of transcription factor binding preferences in complex eukaryotes. Scientific Reports. 7(1). 7596–7596. 17 indexed citations

15.

Grilli, Jacopo, Matteo Osella, Andrew S. Kennard, & Marco Cosentino Lagomarsino. (2017). Relevant parameters in models of cell division control. Physical review. E. 95(3). 32411–32411. 23 indexed citations

16.

Kennard, Andrew S., Matteo Osella, Avelino Javer, et al.. (2016). Individuality and universality in the growth-division laws of singleE. colicells. Physical review. E. 93(1). 12408–12408. 60 indexed citations

17.

Osella, Matteo, et al.. (2015). Stochasticity and homeostasis in the E. coli replication and division cycle. Scientific Reports. 5(1). 18261–18261. 46 indexed citations

18.

Bosia, Carla, et al.. (2012). Gene autoregulation via intronic microRNAs and its functions. BMC Systems Biology. 6(1). 131–131. 41 indexed citations

19.

Osella, Matteo, Carla Bosia, Davide Corà, & Michele Caselle. (2011). The Role of Incoherent MicroRNA-Mediated Feedforward Loops in Noise Buffering. PLoS Computational Biology. 7(3). e1001101–e1001101. 194 indexed citations

20.

Corà, Davide, et al.. (2011). A Curated Database of miRNA Mediated Feed-Forward Loops Involving MYC as Master Regulator. PLoS ONE. 6(3). e14742–e14742. 46 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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