Sabino Liuni

7.2k total citations · 1 hit paper
56 papers, 2.8k citations indexed

About

Sabino Liuni is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Sabino Liuni has authored 56 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Artificial Intelligence. Recurrent topics in Sabino Liuni's work include RNA and protein synthesis mechanisms (25 papers), Genomics and Phylogenetic Studies (23 papers) and RNA modifications and cancer (13 papers). Sabino Liuni is often cited by papers focused on RNA and protein synthesis mechanisms (25 papers), Genomics and Phylogenetic Studies (23 papers) and RNA modifications and cancer (13 papers). Sabino Liuni collaborates with scholars based in Italy, United States and Czechia. Sabino Liuni's co-authors include Graziano Pesole, Flavio Mignone, Carmela Gissi, Giorgio Grillo, Flavio Licciulli, Cecilia Saccone, Ernesto Picardi, Giulio Pavesi, David S. Horner and Arianna Consiglio and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Sabino Liuni

53 papers receiving 2.7k citations

Hit Papers

Untranslated regions of mRNAs. 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabino Liuni Italy 26 2.1k 404 364 294 178 56 2.8k
Damek V. Spacek United States 11 1.6k 0.8× 382 0.9× 412 1.1× 204 0.7× 139 0.8× 15 2.2k
Sandro J. de Souza Brazil 29 2.2k 1.1× 374 0.9× 358 1.0× 275 0.9× 239 1.3× 118 2.9k
Tatiana Borodina Germany 14 2.5k 1.2× 687 1.7× 539 1.5× 431 1.5× 160 0.9× 25 3.3k
Pascale Gaudet Switzerland 24 2.2k 1.0× 214 0.5× 365 1.0× 211 0.7× 185 1.0× 69 3.2k
Olena Morozova Canada 14 1.4k 0.6× 449 1.1× 284 0.8× 294 1.0× 152 0.9× 21 2.2k
Ignacio Medina Spain 21 1.5k 0.7× 221 0.5× 382 1.0× 273 0.9× 123 0.7× 52 2.3k
Alejandra Cervera Finland 12 1.4k 0.6× 428 1.1× 289 0.8× 242 0.8× 182 1.0× 23 2.1k
Matthieu Defrance Belgium 26 2.6k 1.2× 406 1.0× 614 1.7× 314 1.1× 305 1.7× 45 3.3k
Sonia Tarazona Spain 16 2.1k 1.0× 590 1.5× 340 0.9× 461 1.6× 239 1.3× 31 3.2k

Countries citing papers authored by Sabino Liuni

Since Specialization
Citations

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

Fields of papers citing papers by Sabino Liuni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabino Liuni

This figure shows the co-authorship network connecting the top 25 collaborators of Sabino Liuni. A scholar is included among the top collaborators of Sabino Liuni 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 Sabino Liuni. Sabino Liuni 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.
Marzano, Flaviana, Mariano Francesco Caratozzolo, Arianna Consiglio, et al.. (2020). Plant miRNAs Reduce Cancer Cell Proliferation by Targeting MALAT1 and NEAT1: A Beneficial Cross-Kingdom Interaction. Frontiers in Genetics. 11. 552490–552490. 27 indexed citations
2.
Bonnici, Vincenzo, Sabino Liuni, Domenica D’Elia, et al.. (2018). Arena-Idb: a platform to build human non-coding RNA interaction networks. BMC Bioinformatics. 19(S10). 350–350. 14 indexed citations
3.
Santamaría, Mónica, Bruno Fosso, Flavio Licciulli, et al.. (2017). ITSoneDB: a comprehensive collection of eukaryotic ribosomal RNA Internal Transcribed Spacer 1 (ITS1) sequences. Nucleic Acids Research. 46(D1). D127–D132. 31 indexed citations
4.
Puccio, Simone, Giorgio Grillo, Flavio Licciulli, et al.. (2017). WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes. Nucleic Acids Research. 45(W1). W109–W115. 27 indexed citations
5.
Giulietti, Matteo, Giorgio Grillo, Sabino Liuni, & Graziano Pesole. (2014). A Guideline for the Annotation of UTR Regulatory Elements in the UTRsite Collection. Methods in molecular biology. 1269. 339–348. 1 indexed citations
6.
Consiglio, Arianna, Giorgio Grillo, Flavio Licciulli, et al.. (2011). PlantPIs – An Interactive Web Resource on Plant Protease Inhibitors. Current Protein and Peptide Science. 12(5). 448–454. 8 indexed citations
7.
Horner, David S., Giulio Pavesi, Tiziana Castrignanò, et al.. (2009). Bioinformatics approaches for genomics and post genomics applications of next-generation sequencing. Briefings in Bioinformatics. 11(2). 181–197. 105 indexed citations
8.
Maglietta, Rosalia, A. D’Addabbo, Ada Piepoli, et al.. (2006). Classification error as a measure of gene relevance in cancer diagnosis. The 2006 IEEE International Joint Conference on Neural Network Proceedings. nips 13. 3553–3560. 1 indexed citations
9.
Maglietta, Rosalia, A. D’Addabbo, Ada Piepoli, et al.. (2006). Selection of relevant genes in cancer diagnosis based on their prediction accuracy. Artificial Intelligence in Medicine. 40(1). 29–44. 25 indexed citations
10.
Ré, Matteo, Flavio Mignone, Michele Iacono, et al.. (2005). A new strategy to identify novel genes and gene isoforms: Analysis of human chromosomes 15, 21 and 22. Gene. 365. 35–40. 1 indexed citations
11.
Mignone, Flavio, Carmela Gissi, Sabino Liuni, & Graziano Pesole. (2002). Untranslated regions of mRNAs.. Genome Biology. 3(3). reviews0004.1–reviews0004.1. 737 indexed citations breakdown →
12.
Pesole, Graziano, Flavio Mignone, Carmela Gissi, et al.. (2001). Structural and functional features of eukaryotic mRNA untranslated regions. Gene. 276(1-2). 73–81. 332 indexed citations
13.
Pesole, Graziano, Sabino Liuni, & Mark D’Souza. (2000). PatSearch: a pattern matcher software that finds functional elements in nucleotide and protein sequences and assesses their statistical significance. Bioinformatics. 16(5). 439–450. 62 indexed citations
14.
Pesole, Graziano, Carmela Gissi, Giorgio Grillo, et al.. (2000). Analysis of oligonucleotide AUG start codon context in eukariotic mRNAs. Gene. 261(1). 85–91. 61 indexed citations
15.
Pesole, Graziano, et al.. (1999). UTRdb: a specialized database of 5' and 3' untranslated regions of eukaryotic mRNAs. Nucleic Acids Research. 27(1). 188–191. 36 indexed citations
16.
Pesole, Graziano & Sabino Liuni. (1999). Internet resources for the functional analysis of 5′ and 3′ untranslated regions of eukaryotic mRNAs. Trends in Genetics. 15(9). 378–378. 94 indexed citations
17.
Pesole, Graziano, Giorgio Grillo, & Sabino Liuni. (1996). Databases of mRNA untranslated regions for metazoa. Computers & Chemistry. 20(1). 141–144. 16 indexed citations
18.
Pizzi, Elisabetta, Marcella Attimonelli, Sabino Liuni, C. Frontali, & Cecilia Saccone. (1992). A simple method for global sequence comparison. Nucleic Acids Research. 20(1). 131–136. 7 indexed citations
19.
Pesole, Graziano, et al.. (1992). WORDUP: an efficient algorithm for discovering statistically significant patterns in DNA sequences. Nucleic Acids Research. 20(11). 2871–2875. 57 indexed citations
20.
Pizzi, Elisabetta, Sabino Liuni, & C. Frontali. (1990). Detection of latent sequence periodicities. Nucleic Acids Research. 18(13). 3745–3752. 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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