Rita Berisio

6.5k total citations · 1 hit paper
153 papers, 5.1k citations indexed

About

Rita Berisio is a scholar working on Molecular Biology, Infectious Diseases and Materials Chemistry. According to data from OpenAlex, Rita Berisio has authored 153 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 42 papers in Infectious Diseases and 28 papers in Materials Chemistry. Recurrent topics in Rita Berisio's work include Enzyme Structure and Function (26 papers), Tuberculosis Research and Epidemiology (24 papers) and RNA and protein synthesis mechanisms (23 papers). Rita Berisio is often cited by papers focused on Enzyme Structure and Function (26 papers), Tuberculosis Research and Epidemiology (24 papers) and RNA and protein synthesis mechanisms (23 papers). Rita Berisio collaborates with scholars based in Italy, Germany and United States. Rita Berisio's co-authors include Luigi Vitagliano, Alessia Ruggiero, Flavia Squeglia, Adriana Zagari, L. Mazzarella, Maria Romanò, Alfonso De Simone, Ada Yonath, Giovanni Maga and Joerg Harms and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Rita Berisio

152 papers receiving 5.0k citations

Hit Papers

A Structural View of SARS-CoV-2 RNA Replication Machinery... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rita Berisio Italy 36 2.8k 1.0k 783 706 615 153 5.1k
Stephen Matthews United Kingdom 51 3.9k 1.4× 870 0.8× 294 0.4× 1.1k 1.6× 1.0k 1.6× 212 6.9k
Håvard Jenssen Denmark 47 4.7k 1.7× 531 0.5× 351 0.4× 369 0.5× 601 1.0× 135 8.4k
Suzana K. Straus Canada 38 3.5k 1.2× 376 0.4× 403 0.5× 221 0.3× 226 0.4× 79 5.8k
Mamoru Hyodo Japan 39 4.4k 1.6× 1.5k 1.4× 391 0.5× 1.1k 1.5× 583 0.9× 88 7.8k
Julie Bouckaert France 40 2.7k 1.0× 245 0.2× 205 0.3× 454 0.6× 517 0.8× 111 4.8k
Tanel Tenson Estonia 49 4.9k 1.7× 879 0.8× 214 0.3× 2.5k 3.5× 496 0.8× 153 7.5k
Daniel L. Clemens United States 34 1.9k 0.7× 1.2k 1.1× 254 0.3× 566 0.8× 860 1.4× 58 4.0k
Wuyuan Lu United States 54 5.2k 1.8× 508 0.5× 480 0.6× 390 0.6× 794 1.3× 169 9.0k
Jerome S. Pinkner United States 53 5.4k 1.9× 732 0.7× 293 0.4× 2.2k 3.1× 2.0k 3.3× 117 10.1k
Anu Puri United States 33 2.6k 0.9× 471 0.5× 982 1.3× 225 0.3× 393 0.6× 92 4.8k

Countries citing papers authored by Rita Berisio

Since Specialization
Citations

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

Fields of papers citing papers by Rita Berisio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Berisio

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Berisio. A scholar is included among the top collaborators of Rita Berisio 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 Rita Berisio. Rita Berisio 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.
Choi, Soo Jeon, et al.. (2024). Regulation of erm(T) MLSB phenotype expression in the emergent emm92 type group A Streptococcus. SHILAP Revista de lepidopterología. 2(1). 44–44. 2 indexed citations
2.
Berisio, Rita, et al.. (2024). HtpG—A Major Virulence Factor and a Promising Vaccine Antigen against Mycobacterium tuberculosis. Biomolecules. 14(4). 471–471. 1 indexed citations
3.
Romanò, Maria, Flavia Squeglia, Han‐Gyu Choi, et al.. (2023). A Structural View at Vaccine Development against M. tuberculosis. Cells. 12(2). 317–317. 14 indexed citations
4.
Sandomenico, Annamaria, Alessia Ruggiero, Angela Oliver, et al.. (2023). Unveiling CD59-Antibody Interactions to Design Paratope-Mimicking Peptides for Complement Modulation. International Journal of Molecular Sciences. 24(10). 8561–8561. 1 indexed citations
5.
Maio, Flavio De, et al.. (2023). Structural Basis of PE_PGRS Polymorphism, a Tool for Functional Modulation. Biomolecules. 13(5). 812–812. 3 indexed citations
7.
Squeglia, Flavia, Maria Romanò, Luciana Esposito, et al.. (2022). Structure-Based Development of SARS-CoV-2 Spike Interactors. International Journal of Molecular Sciences. 23(10). 5601–5601. 3 indexed citations
8.
Esposito, Luciana, Nicole Balasco, Giovanni Smaldone, et al.. (2021). AlphaFold-Predicted Structures of KCTD Proteins Unravel Previously Undetected Relationships among the Members of the Family. Biomolecules. 11(12). 1862–1862. 22 indexed citations
9.
Squeglia, Flavia, Maria Romanò, Alessia Ruggiero, Giovanni Maga, & Rita Berisio. (2020). Host DDX Helicases as Possible SARS-CoV-2 Proviral Factors: A Structural Overview of Their Hijacking Through Multiple Viral Proteins. Frontiers in Chemistry. 8. 602162–602162. 27 indexed citations
10.
Squeglia, Flavia, Miguel A. M. Moreira, Alessia Ruggiero, & Rita Berisio. (2019). The Cell Wall Hydrolytic NlpC/P60 Endopeptidases in Mycobacterial Cytokinesis: A Structural Perspective. Cells. 8(6). 609–609. 15 indexed citations
11.
Majkowska-Skrobek, Grażyna, Agnieszka Łątka, Rita Berisio, et al.. (2018). Phage-Borne Depolymerases Decrease Klebsiella pneumoniae Resistance to Innate Defense Mechanisms. Frontiers in Microbiology. 9. 2517–2517. 104 indexed citations
12.
Calvanese, Luisa, Lucia Falcigno, Flavia Squeglia, Rita Berisio, & Gabriella D’Auria. (2018). PASTA sequence composition is a predictive tool for protein class identification. Amino Acids. 50(10). 1441–1450. 4 indexed citations
13.
Romanò, Maria, Alessia Ruggiero, M. Callaghan, et al.. (2016). The Burkholderia cenocepacia peptidoglycan-associated lipoprotein is involved in epithelial cell attachment and elicitation of inflammation. Cellular Microbiology. 19(5). e12691–e12691. 29 indexed citations
14.
Majkowska-Skrobek, Grażyna, Agnieszka Łątka, Rita Berisio, et al.. (2016). Capsule-Targeting Depolymerase, Derived from Klebsiella KP36 Phage, as a Tool for the Development of Anti-Virulent Strategy. Viruses. 8(12). 324–324. 101 indexed citations
15.
Severino, Valeria, Angela Chambery, Antimo Di Maro, et al.. (2010). The role of the glycan moiety on the structure–function relationships of PD-L1, type 1 ribosome-inactivating protein from P. dioica leaves. Molecular BioSystems. 6(3). 570–579. 8 indexed citations
17.
Improta, Roberto, Rita Berisio, & Luigi Vitagliano. (2008). Contribution of dipole–dipole interactions to the stability of the collagen triple helix. Protein Science. 17(5). 955–961. 34 indexed citations
18.
Vitagliano, Luigi, Alessia Ruggiero, Carlo Pedone, & Rita Berisio. (2007). A Molecular Dynamics Study of Pilus Subunits: Insights into Pilus Biogenesis. Journal of Molecular Biology. 367(4). 935–941. 17 indexed citations
19.
Agmon, Ilana, Tamar Auerbach, Anat Bashan, et al.. (2004). Ribosomal crystallography: a flexible nucleotide anchoring tRNA translocation, facilitates peptide‐bond formation, chirality discrimination and antibiotics synergism. FEBS Letters. 567(1). 20–26. 28 indexed citations
20.
Berisio, Rita, Luigi Vitagliano, L. Mazzarella, & Adriana Zagari. (2002). Crystal structure of the collagen triple helix model [(Pro‐Pro‐Gly) 10 ] 3. Protein Science. 11(2). 262–270. 254 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026