Lorenzo Tattini

1.6k total citations
22 papers, 743 citations indexed

About

Lorenzo Tattini is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Lorenzo Tattini has authored 22 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Artificial Intelligence. Recurrent topics in Lorenzo Tattini's work include Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Phylogenetic Studies (5 papers). Lorenzo Tattini is often cited by papers focused on Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Phylogenetic Studies (5 papers). Lorenzo Tattini collaborates with scholars based in Italy, France and China. Lorenzo Tattini's co-authors include Alberto Magi, Romina D’Aurizio, Betti Giusti, Tommaso Pippucci, Matteo Benelli, Gian Franco Gensini, G. Cara Romeo, Rosanna Abbate, Marco Seri and Marco Pellegrini and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Lorenzo Tattini

19 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorenzo Tattini Italy 12 423 356 208 124 50 22 743
Haley M. Amemiya United States 8 907 2.1× 230 0.6× 149 0.7× 88 0.7× 35 0.7× 11 1.1k
Jason O'Rawe United States 7 406 1.0× 373 1.0× 230 1.1× 64 0.5× 71 1.4× 11 709
Chuan Gao United States 15 586 1.4× 443 1.2× 144 0.7× 112 0.9× 15 0.3× 28 1.1k
Anthony P. Fejes Canada 11 969 2.3× 229 0.6× 161 0.8× 75 0.6× 97 1.9× 15 1.2k
Gaye Hattem United States 10 566 1.3× 196 0.6× 113 0.5× 174 1.4× 12 0.2× 11 801
Thanasis Margaritis Netherlands 17 947 2.2× 113 0.3× 131 0.6× 78 0.6× 21 0.4× 26 1.2k
Andy Rimmer United Kingdom 4 404 1.0× 282 0.8× 170 0.8× 86 0.7× 64 1.3× 4 664
Shivangi Wani Australia 10 1.1k 2.6× 111 0.3× 565 2.7× 111 0.9× 25 0.5× 12 1.4k
Hajime Matsuzaki United States 9 874 2.1× 720 2.0× 133 0.6× 137 1.1× 55 1.1× 10 1.3k
Daniel Tabas‐Madrid Spain 11 589 1.4× 92 0.3× 174 0.8× 94 0.8× 27 0.5× 14 852

Countries citing papers authored by Lorenzo Tattini

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Tattini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Tattini

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Tattini. A scholar is included among the top collaborators of Lorenzo Tattini 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 Lorenzo Tattini. Lorenzo Tattini 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.
Lopes-Bastos, Bruno, Giulia Allavena, Lorenzo Tattini, et al.. (2024). The absence of telomerase leads to immune response and tumor regression in zebrafish melanoma. Cell Reports. 43(12). 115035–115035.
2.
Chiara, Matteo De, Lorenzo Tattini, Е. С. Наумова, et al.. (2024). Ancient and recent origins of shared polymorphisms in yeast. Nature Ecology & Evolution. 8(4). 761–776. 8 indexed citations
3.
Tattini, Lorenzo, et al.. (2024). CMOSS: A Reliable, Motif-based Columnar Molecular Storage System. SPIRE - Sciences Po Institutional REpository. 178–192. 1 indexed citations
4.
O’Donnell, Samuel, Jia‐Xing Yue, Nicolas Agier, et al.. (2023). Telomere-to-telomere assemblies of 142 strains characterize the genome structural landscape in Saccharomyces cerevisiae. Nature Genetics. 55(8). 1390–1399. 56 indexed citations
5.
Conte, Alessio, et al.. (2023). phyBWT2: phylogeny reconstruction via eBWT positional clustering. Algorithms for Molecular Biology. 18(1). 11–11.
6.
Tattini, Lorenzo, et al.. (2019). Accurate Tracking of the Mutational Landscape of Diploid Hybrid Genomes. Molecular Biology and Evolution. 36(12). 2861–2877. 28 indexed citations
7.
Conte, Alessio, Roberto Grossi, Andrea Marino, Lorenzo Tattini, & Luca Versari. (2019). A fast discovery algorithm for large common connected induced subgraphs. Discrete Applied Mathematics. 268. 210–222. 1 indexed citations
8.
Merello, Elisa, Lorenzo Tattini, Alberto Magi, et al.. (2017). Exome sequencing of two Italian pedigrees with non-isolated Chiari malformation type I reveals candidate genes for cranio-facial development. European Journal of Human Genetics. 25(8). 952–959. 18 indexed citations
9.
D’Aurizio, Romina, Tommaso Pippucci, Lorenzo Tattini, et al.. (2016). Enhanced copy number variants detection from whole-exome sequencing data using EXCAVATOR2. Nucleic Acids Research. 44(20). gkw695–gkw695. 70 indexed citations
10.
Magi, Alberto, Betti Giusti, & Lorenzo Tattini. (2016). Characterization of MinION nanopore data for resequencing analyses. Briefings in Bioinformatics. 18(6). bbw077–bbw077. 48 indexed citations
11.
Tattini, Lorenzo, Romina D’Aurizio, & Alberto Magi. (2015). Detection of Genomic Structural Variants from Next-Generation Sequencing Data. Frontiers in Bioengineering and Biotechnology. 3. 92–92. 157 indexed citations
12.
Magi, Alberto, Romina D’Aurizio, Flavia Palombo, et al.. (2015). Characterization and identification of hidden rare variants in the human genome. BMC Genomics. 16(1). 340–340. 17 indexed citations
13.
Magi, Alberto, Lorenzo Tattini, Flavia Palombo, et al.. (2014). H 3  M 2 : detection of runs of homozygosity from whole-exome sequencing data. Bioinformatics. 30(20). 2852–2859. 73 indexed citations
14.
Giunti, Laura, Iacopo Sardi, Aldesia Provenzano, et al.. (2014). Genome-wide copy number analysis in pediatric glioblastoma multiforme.. PubMed. 4(3). 293–303. 12 indexed citations
15.
Magi, Alberto, Lorenzo Tattini, Ingrid Cifola, et al.. (2013). EXCAVATOR: detecting copy number variants from whole-exome sequencing data. Genome biology. 14(10). R120–R120. 159 indexed citations
16.
Magi, Alberto, Lorenzo Tattini, Matteo Benelli, et al.. (2012). WNP: A Novel Algorithm for Gene Products Annotation from Weighted Functional Networks. PLoS ONE. 7(6). e38767–e38767. 5 indexed citations
17.
Magi, Alberto, Lorenzo Tattini, Tommaso Pippucci, Francesca Torricelli, & Matteo Benelli. (2011). Read count approach for DNA copy number variants detection. Bioinformatics. 28(4). 470–478. 60 indexed citations
18.
Tattini, Lorenzo, et al.. (2010). Piezoelectric PZT nanodevices from a hybrid ligand burning method. Journal of Nanoparticle Research. 13(4). 1791–1800. 1 indexed citations
19.
Baiesi, Marco, Lorenzo Bongini, Lapo Casetti, & Lorenzo Tattini. (2009). Graph theoretical analysis of the energy landscape of model polymers. Physical Review E. 80(1). 11905–11905. 6 indexed citations
20.
Tattini, Lorenzo, et al.. (2009). Gels from a semifluorinated n-alkane in fluorinated solvents as a probe for intermolecular interactions. Journal of Colloid and Interface Science. 339(1). 259–265. 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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