Gaetano Donofrío

5.3k total citations · 1 hit paper
156 papers, 3.8k citations indexed

About

Gaetano Donofrío is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Gaetano Donofrío has authored 156 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Epidemiology, 43 papers in Molecular Biology and 35 papers in Oncology. Recurrent topics in Gaetano Donofrío's work include Herpesvirus Infections and Treatments (53 papers), Cytomegalovirus and herpesvirus research (36 papers) and Virus-based gene therapy research (30 papers). Gaetano Donofrío is often cited by papers focused on Herpesvirus Infections and Treatments (53 papers), Cytomegalovirus and herpesvirus research (36 papers) and Virus-based gene therapy research (30 papers). Gaetano Donofrío collaborates with scholars based in Italy, United States and United Kingdom. Gaetano Donofrío's co-authors include I. Martin Sheldon, S. Cavirani, J. Cronin, Hans‐Joachim Schuberth, Leopold Goetze, Valentina Franceschi, Francesco Sansone, Alessandro Casnati, C. F. Flammini and Rocco Ungaro and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Gaetano Donofrío

150 papers receiving 3.8k citations

Hit Papers

Defining Postpartum Uterine Disease and the Mechanisms of... 2009 2026 2014 2020 2009 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
Gaetano Donofrío Italy 33 1.2k 1.2k 882 878 697 156 3.8k
M. Shiro Japan 26 325 0.3× 313 0.3× 390 0.4× 945 1.1× 157 0.2× 152 2.5k
Karl‐Heinz Wiesmüller Germany 46 2.7k 2.3× 286 0.2× 1.0k 1.2× 3.3k 3.7× 282 0.4× 159 6.7k
Sørge Kelm Germany 38 3.9k 3.3× 523 0.5× 1.2k 1.4× 2.1k 2.4× 268 0.4× 129 6.1k
Covadonga Alonso Spain 41 1.4k 1.2× 3.0k 2.6× 416 0.5× 921 1.0× 394 0.6× 93 5.5k
Mette Strand United States 40 1.4k 1.1× 155 0.1× 771 0.9× 1.1k 1.2× 798 1.1× 121 4.7k
Ian M. Jones United Kingdom 51 3.3k 2.8× 341 0.3× 1.7k 2.0× 1.7k 1.9× 1.1k 1.6× 177 8.1k
S. Mark Tompkins United States 34 1.3k 1.1× 357 0.3× 1.7k 1.9× 1.4k 1.6× 310 0.4× 117 3.9k
Thomas R. Fuerst United States 33 2.5k 2.2× 231 0.2× 2.9k 3.2× 1.5k 1.7× 1.5k 2.2× 74 8.0k
Susan Carpenter United States 28 1.1k 0.9× 465 0.4× 474 0.5× 510 0.6× 569 0.8× 84 2.7k
Grant McClarty Canada 35 1.6k 1.3× 227 0.2× 1.7k 1.9× 921 1.0× 163 0.2× 78 4.4k

Countries citing papers authored by Gaetano Donofrío

Since Specialization
Citations

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

Fields of papers citing papers by Gaetano Donofrío

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaetano Donofrío

This figure shows the co-authorship network connecting the top 25 collaborators of Gaetano Donofrío. A scholar is included among the top collaborators of Gaetano Donofrío 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 Gaetano Donofrío. Gaetano Donofrío 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.
Cavazzini, Davide, et al.. (2024). Broad Neutralization Capacity of an Engineered Thermostable Three-Helix Angiotensin-Converting Enzyme 2 Polypeptide Targeting the Receptor-Binding Domain of SARS-CoV-2. International Journal of Molecular Sciences. 25(22). 12319–12319. 1 indexed citations
3.
Franceschi, Valentina, et al.. (2024). Cross-Reactive Immune Response of Bovine Coronavirus Spike Glycoprotein to SARS-CoV-2 Variants of Concern. International Journal of Molecular Sciences. 25(21). 11509–11509. 1 indexed citations
4.
Moré, Daniela D., Katherine N. K. Baker, Smriti Shringi, et al.. (2024). Ovine Herpesvirus 2 Glycoprotein B Complementation Restores Infectivity to a Bovine Herpesvirus 4 gB-Null Mutant. Pathogens. 13(3). 219–219.
5.
Donofrío, Gaetano, et al.. (2023). Prediction of Hospital Length Stay for Patients Undergoing Mastectomy. Studies in health technology and informatics. 305. 261–264. 1 indexed citations
6.
Alessandri, Giulia, et al.. (2023). Metataxonomic analysis of milk microbiota in the bovine subclinical mastitis. FEMS Microbiology Ecology. 99(12). 11 indexed citations
7.
Marchica, Valentina, Valentina Franceschi, Denise Toscani, et al.. (2023). PYGO2-MDR1 Axis in Multiple Myeloma Patients with 1q21 Amplification As Promising Target to Overcome Carfilzomib Resistance. Blood. 142(Supplement 1). 6575–6575.
8.
Rivara, Mirko, Gaetano Donofrío, Luigi Cristofolini, et al.. (2022). Gene-Delivery Ability of New Hydrogenated and Partially Fluorinated Gemini bispyridinium Surfactants with Six Methylene Spacers. International Journal of Molecular Sciences. 23(6). 3062–3062. 8 indexed citations
9.
Marchica, Valentina, Federica Costa, Gaetano Donofrío, & Nicola Giuliani. (2021). Oncolytic Virotherapy and Microenvironment in Multiple Myeloma. International Journal of Molecular Sciences. 22(5). 2259–2259. 3 indexed citations
10.
Rojas, José M., Francesca Macchi, Valentina Franceschi, et al.. (2021). Immunization With Bovine Herpesvirus-4-Based Vector Delivering PPRV-H Protein Protects Sheep From PPRV Challenge. Frontiers in Immunology. 12. 705539–705539. 9 indexed citations
12.
Dağalp, Seval Bilge, et al.. (2021). Development of a BoHV-4 viral vector expressing tgD of BoHV-1 and evaluation of its immunogenicity in mouse model. Brazilian Journal of Microbiology. 52(3). 1119–1133. 6 indexed citations
13.
Conti, Laura, Elisabetta Bolli, Valentina Franceschi, et al.. (2020). Immunotargeting of the xCT Cystine/Glutamate Antiporter Potentiates the Efficacy of HER2-Targeted Immunotherapies in Breast Cancer. Cancer Immunology Research. 8(8). 1039–1053. 32 indexed citations
14.
Pedrera, Miriam, Francesca Macchi, Rebecca McLean, et al.. (2020). Bovine Herpesvirus-4-Vectored Delivery of Nipah Virus Glycoproteins Enhances T Cell Immunogenicity in Pigs. Vaccines. 8(1). 115–115. 29 indexed citations
15.
Donofrío, Gaetano, Stefania Lanzardo, Roberto Ruiu, et al.. (2018). Bovine herpesvirus 4-based vector delivering the full length xCT DNA efficiently protects mice from mammary cancer metastases by targeting cancer stem cells. OncoImmunology. 7(12). e1494108–e1494108. 33 indexed citations
16.
Verna, Andrea, Valentina Franceschi, Francesca Macchi, et al.. (2017). Induction of Antihuman C–C Chemokine Receptor Type 5 Antibodies by a Bovine Herpesvirus Type-4 Based Vector. Frontiers in Immunology. 8. 1402–1402. 3 indexed citations
17.
Bagnacani, Valentina, Valentina Franceschi, Michele Bassi, et al.. (2013). Arginine clustering on calix[4]arene macrocycles for improved cell penetration and DNA delivery. Nature Communications. 4(1). 1721–1721. 132 indexed citations
18.
19.
Colleoni, S., et al.. (2005). Establishment, Differentiation, Electroporation, Viral Transduction, and Nuclear Transfer of Bovine and Porcine Mesenchymal Stem Cells. Cloning and Stem Cells. 7(3). 154–166. 74 indexed citations
20.
Cavirani, S., et al.. (2005). Deficit of colostrum IgG and passive transfer of immunity in high production dairy farms.. Large animals review. 11(3). 17–21. 1 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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