Vito Genna

1.2k total citations
18 papers, 571 citations indexed

About

Vito Genna is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Vito Genna has authored 18 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in Vito Genna's work include DNA and Nucleic Acid Chemistry (12 papers), RNA and protein synthesis mechanisms (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Vito Genna is often cited by papers focused on DNA and Nucleic Acid Chemistry (12 papers), RNA and protein synthesis mechanisms (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Vito Genna collaborates with scholars based in Italy, Spain and United States. Vito Genna's co-authors include Marco De Vivo, Laura Riccardi, Marco Marcia, Paolo Carloni, Pietro Vidossich, Modesto Orozco, Emiliano Ippoliti, Matteo Dal Peraro, Roberto Gaspari and Sebastian Arangundy‐Franklin and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Vito Genna

18 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vito Genna Italy 13 411 85 74 69 34 18 571
Maria P. Frushicheva United States 10 285 0.7× 63 0.7× 32 0.4× 106 1.5× 11 0.3× 14 453
Martin Stein Germany 17 306 0.7× 193 2.3× 110 1.5× 115 1.7× 18 0.5× 22 626
Daniel K. Weber United States 13 280 0.7× 80 0.9× 87 1.2× 49 0.7× 15 0.4× 29 454
Antonio M. Ferreira United States 14 454 1.1× 152 1.8× 197 2.7× 66 1.0× 42 1.2× 24 811
Arun Shivalingam United Kingdom 14 594 1.4× 126 1.5× 88 1.2× 54 0.8× 12 0.4× 20 722
Zhi Yue United States 11 296 0.7× 88 1.0× 54 0.7× 63 0.9× 8 0.2× 19 412
David H. Jones United States 14 442 1.1× 120 1.4× 101 1.4× 140 2.0× 67 2.0× 26 695
C. Tony Liu United States 9 365 0.9× 133 1.6× 23 0.3× 162 2.3× 14 0.4× 13 570
Ute Scheffer Germany 14 440 1.1× 181 2.1× 46 0.6× 48 0.7× 28 0.8× 34 623
Xiaolu Zhang China 13 285 0.7× 41 0.5× 39 0.5× 117 1.7× 17 0.5× 29 497

Countries citing papers authored by Vito Genna

Since Specialization
Citations

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

Fields of papers citing papers by Vito Genna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vito Genna

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

All Works

18 of 18 papers shown
1.
Genna, Vito, Guillem Portella, Montserrat Terrazas, et al.. (2025). Systematic study of hybrid triplex topology and stability suggests a general triplex-mediated regulatory mechanism. Nucleic Acids Research. 53(5). 1 indexed citations
2.
Genna, Vito, et al.. (2024). Nucleic acids in modern molecular therapies: A realm of opportunities for strategic drug design. Current Opinion in Structural Biology. 87. 102838–102838. 2 indexed citations
3.
Genna, Vito, Javier Iglesias‐Fernández, Núria Villegas, et al.. (2023). Controlled sulfur-based engineering confers mouldability to phosphorothioate antisense oligonucleotides. Nucleic Acids Research. 51(10). 4713–4725. 10 indexed citations
4.
Wieczór, Miłosz, Vito Genna, Juan Aranda, et al.. (2022). Pre‐exascale HPC approaches for molecular dynamics simulations. Covid‐19 research: A use case. Wiley Interdisciplinary Reviews Computational Molecular Science. 13(1). e1622–e1622. 10 indexed citations
5.
Manigrasso, Jacopo, Isabel Chillón, Vito Genna, et al.. (2020). Visualizing group II intron dynamics between the first and second steps of splicing. Nature Communications. 11(1). 2837–2837. 48 indexed citations
6.
Ortega, José Antonio, José M. Arencibia, Jo Ann W. Byl, et al.. (2020). Novel, Potent, and Druglike Tetrahydroquinazoline Inhibitor That Is Highly Selective for Human Topoisomerase II α over β. Journal of Medicinal Chemistry. 63(21). 12873–12886. 22 indexed citations
7.
Genna, Vito, et al.. (2020). Recruiting Mechanism and Functional Role of a Third Metal Ion in the Enzymatic Activity of 5′ Structure-Specific Nucleases. Journal of the American Chemical Society. 142(6). 2823–2834. 15 indexed citations
8.
Terrazas, Montserrat, Vito Genna, Guillem Portella, et al.. (2019). The Origins and the Biological Consequences of the Pur/Pyr DNA·RNA Asymmetry. Chem. 5(6). 1619–1631. 14 indexed citations
9.
Arangundy‐Franklin, Sebastian, Alexander I. Taylor, Benjamin T. Porebski, et al.. (2019). A synthetic genetic polymer with an uncharged backbone chemistry based on alkyl phosphonate nucleic acids. Nature Chemistry. 11(6). 533–542. 73 indexed citations
10.
Genna, Vito, Marco Marcia, & Marco De Vivo. (2019). A Transient and Flexible Cation−π Interaction Promotes Hydrolysis of Nucleic Acids in DNA and RNA Nucleases. Journal of the American Chemical Society. 141(27). 10770–10776. 28 indexed citations
11.
Genna, Vito, et al.. (2019). Chemoselective Synthesis of N-Terminal Cysteinyl Thioesters via β,γ-C,S Thiol-Michael Addition. Organic Letters. 21(9). 3281–3285. 12 indexed citations
12.
Riccardi, Laura, Vito Genna, & Marco De Vivo. (2018). Metal–ligand interactions in drug design. Nature Reviews Chemistry. 2(7). 100–112. 145 indexed citations
13.
Genna, Vito, et al.. (2018). The Catalytic Mechanism of DNA and RNA Polymerases. ACS Catalysis. 8(12). 11103–11118. 28 indexed citations
14.
Genna, Vito, Paolo Carloni, & Marco De Vivo. (2018). A Strategically Located Arg/Lys Residue Promotes Correct Base Paring During Nucleic Acid Biosynthesis in Polymerases. Journal of the American Chemical Society. 140(9). 3312–3321. 20 indexed citations
15.
Genna, Vito, Matteo Colombo, Marco De Vivo, & Marco Marcia. (2017). Second-Shell Basic Residues Expand the Two-Metal-Ion Architecture of DNA and RNA Processing Enzymes. Structure. 26(1). 40–50.e2. 32 indexed citations
16.
Genna, Vito, Roberto Gaspari, Matteo Dal Peraro, & Marco De Vivo. (2016). Cooperative motion of a key positively charged residue and metal ions for DNA replication catalyzed by human DNA Polymerase-η. Nucleic Acids Research. 44(6). 2827–2836. 36 indexed citations
17.
Genna, Vito, Pietro Vidossich, Emiliano Ippoliti, Paolo Carloni, & Marco De Vivo. (2016). A Self-Activated Mechanism for Nucleic Acid Polymerization Catalyzed by DNA/RNA Polymerases. Journal of the American Chemical Society. 138(44). 14592–14598. 54 indexed citations
18.
Kumar, Amit, Paola Melis, Vito Genna, et al.. (2014). Antigenic peptide molecular recognition by the DRB1–DQB1 haplotype modulates multiple sclerosis susceptibility. Molecular BioSystems. 10(8). 2043–2054. 21 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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