Matteo Figliuzzi

1.5k total citations
21 papers, 649 citations indexed

About

Matteo Figliuzzi is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Matteo Figliuzzi has authored 21 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Pediatrics, Perinatology and Child Health and 6 papers in Genetics. Recurrent topics in Matteo Figliuzzi's work include Prenatal Screening and Diagnostics (8 papers), Evolution and Genetic Dynamics (4 papers) and RNA Research and Splicing (4 papers). Matteo Figliuzzi is often cited by papers focused on Prenatal Screening and Diagnostics (8 papers), Evolution and Genetic Dynamics (4 papers) and RNA Research and Splicing (4 papers). Matteo Figliuzzi collaborates with scholars based in Italy, France and United States. Matteo Figliuzzi's co-authors include Martin Weigt, Andrea De Martino, Enzo Marinari, Pierre Barrat-Charlaix, Hervé Jacquier, Alexander Schug, Olivier Tenaillon, Christian Stocker, Michael Socolich and Simona Cocco and has published in prestigious journals such as Science, Scientific Reports and Biophysical Journal.

In The Last Decade

Matteo Figliuzzi

21 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Figliuzzi Italy 11 581 140 140 29 28 21 649
Yishai Shimoni Israel 10 467 0.8× 129 0.9× 157 1.1× 12 0.4× 5 0.2× 22 750
Hammad Naveed United States 15 499 0.9× 61 0.4× 28 0.2× 22 0.8× 4 0.1× 51 687
Chongyi Chen United States 6 854 1.5× 357 2.5× 139 1.0× 13 0.4× 9 0.3× 9 986
Cecilia Lövkvist Denmark 9 695 1.2× 135 1.0× 26 0.2× 76 2.6× 15 0.5× 13 796
Panos Oikonomou United States 10 468 0.8× 98 0.7× 60 0.4× 13 0.4× 2 0.1× 14 566
Daniele Raimondi Belgium 16 604 1.0× 169 1.2× 49 0.3× 110 3.8× 4 0.1× 41 802
Öznur Taştan Türkiye 15 513 0.9× 72 0.5× 78 0.6× 37 1.3× 3 0.1× 40 715
Yannick G. Spill France 10 405 0.7× 54 0.4× 21 0.1× 54 1.9× 7 0.3× 13 489
Daqi Yu China 14 435 0.7× 123 0.9× 32 0.2× 37 1.3× 5 0.2× 23 542
Gabriele Orlando Belgium 13 466 0.8× 98 0.7× 29 0.2× 79 2.7× 3 0.1× 25 619

Countries citing papers authored by Matteo Figliuzzi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Figliuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Figliuzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Figliuzzi. A scholar is included among the top collaborators of Matteo Figliuzzi 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 Figliuzzi. Matteo Figliuzzi 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.
Figliuzzi, Matteo, Lorena Bori, Christian S. Ottolini, et al.. (2024). Human embryos with segmental aneuploidies display delayed early development: a multicenter morphokinetic analysis. Fertility and Sterility. 123(4). 624–633. 1 indexed citations
2.
Figliuzzi, Matteo, Lorena Bori, Maurizio Poli, et al.. (2023). O-077 Time-lapse imaging analysis of segmental aneuploid embryos: a multicenter study identifies morpho-kinetic patterns associated with chromosomal mosaicism. Human Reproduction. 38(Supplement_1). 1 indexed citations
3.
4.
Girardi, Laura, Matteo Figliuzzi, Maurizio Poli, et al.. (2023). The use of copy number loads to designate mosaicism in blastocyst stage PGT-A cycles: fewer is better. Human Reproduction. 38(5). 982–991. 10 indexed citations
5.
Figliuzzi, Matteo, Yiping Zhan, Xin Tao, et al.. (2023). BIOLOGICAL AND MOLECULAR MECHANISMS BEHIND PLOIDY ABNORMALITIES DETECTED IN BLASTOCYST STAGE EMBRYOS USING AN NGS BASED PGT-A PLATFORM WITH GENOTYPING DATA. Fertility and Sterility. 120(4). e66–e66. 2 indexed citations
6.
Figliuzzi, Matteo, et al.. (2023). O-302 Triploid conceptions are predominantly caused by female meiosis II errors and their risk increases with advancing maternal age. Human Reproduction. 38(Supplement_1). 2 indexed citations
7.
Busnelli, Andrea, Oriana Ciani, Matteo Figliuzzi, et al.. (2023). Implementing preconception expanded carrier screening in a universal health care system: A model-based cost-effectiveness analysis. Genetics in Medicine. 25(11). 100943–100943. 5 indexed citations
8.
Capalbo, Antonio, Silvia Buonaiuto, Matteo Figliuzzi, et al.. (2022). Maternal exome analysis for the diagnosis of oocyte maturation defects and early embryonic developmental arrest. Reproductive BioMedicine Online. 45(3). 508–518. 10 indexed citations
9.
Figliuzzi, Matteo, et al.. (2022). Molecular tools for the genomic assessment of oocyte’s reproductive competence. Journal of Assisted Reproduction and Genetics. 39(4). 847–860. 2 indexed citations
10.
Russ, William P., Matteo Figliuzzi, Christian Stocker, et al.. (2020). An evolution-based model for designing chorismate mutase enzymes. Science. 369(6502). 440–445. 166 indexed citations
11.
Croce, Giancarlo, et al.. (2019). A multi-scale coevolutionary approach to predict interactions between protein domains. PLoS Computational Biology. 15(10). e1006891–e1006891. 19 indexed citations
12.
Figliuzzi, Matteo, et al.. (2019). Identification of Protein Functional Regions. ChemPhysChem. 21(4). 335–347. 2 indexed citations
13.
Figliuzzi, Matteo, Pierre Barrat-Charlaix, & Martin Weigt. (2018). How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?. Molecular Biology and Evolution. 35(4). 1018–1027. 68 indexed citations
14.
Martirosyan, Araks, Matteo Figliuzzi, Enzo Marinari, & Andrea De Martino. (2016). Probing the Limits to MicroRNA-Mediated Control of Gene Expression. PLoS Computational Biology. 12(1). e1004715–e1004715. 20 indexed citations
15.
Barrat-Charlaix, Pierre, Matteo Figliuzzi, & Martin Weigt. (2016). Improving landscape inference by integrating heterogeneous data in the inverse Ising problem. Scientific Reports. 6(1). 37812–37812. 10 indexed citations
16.
Figliuzzi, Matteo, Hervé Jacquier, Alexander Schug, Olivier Tenaillon, & Martin Weigt. (2015). Coevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1. Molecular Biology and Evolution. 33(1). 268–280. 168 indexed citations
17.
Figliuzzi, Matteo, Andrea De Martino, & Enzo Marinari. (2014). RNA-Based Regulation: Dynamics and Response to Perturbations of Competing RNAs. Biophysical Journal. 107(4). 1011–1022. 24 indexed citations
18.
Figliuzzi, Matteo, Enzo Marinari, & Andrea De Martino. (2013). MicroRNAs as a Selective Channel of Communication between Competing RNAs: a Steady-State Theory. Biophysical Journal. 104(5). 1203–1213. 112 indexed citations
19.
Figliuzzi, Matteo, Enzo Marinari, & Andrea De Martino. (2012). MicroRNAs as a selective, post-transcriptional channel of communication between ceRNAs: a steady-state theory. arXiv (Cornell University). 1 indexed citations
20.
Martino, Daniele De, Matteo Figliuzzi, Andrea De Martino, & Enzo Marinari. (2012). A Scalable Algorithm to Explore the Gibbs Energy Landscape of Genome-Scale Metabolic Networks. PLoS Computational Biology. 8(6). e1002562–e1002562. 19 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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