Donatella Negri

2.3k total citations · 1 hit paper
68 papers, 1.5k citations indexed

About

Donatella Negri is a scholar working on Immunology, Genetics and Virology. According to data from OpenAlex, Donatella Negri has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 27 papers in Genetics and 26 papers in Virology. Recurrent topics in Donatella Negri's work include Virus-based gene therapy research (26 papers), HIV Research and Treatment (26 papers) and Immunotherapy and Immune Responses (19 papers). Donatella Negri is often cited by papers focused on Virus-based gene therapy research (26 papers), HIV Research and Treatment (26 papers) and Immunotherapy and Immune Responses (19 papers). Donatella Negri collaborates with scholars based in Italy, United States and Netherlands. Donatella Negri's co-authors include Andrea Cara, Zuleika Michelini, Silvia Baroncelli, Pasqualina Leone, Roberta Bona, Mary E. Klotman, Silvana Canevari, Martina Borghi, Silvia Vendetti and Andrea Canitano and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Donatella Negri

65 papers receiving 1.5k citations

Hit Papers

Neutralizing antibody responses to SARS-CoV-2 in symptoma... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Donatella Negri
Pavel Sova United States
Natalie A. Hutnick United States
Miriam Lieberman United States
J M McCune United States
Frank Weichold United States
Marcella Sarzotti United States
Willy Bogers Netherlands
R A Weiss United Kingdom
Pavel Sova United States
Donatella Negri
Citations per year, relative to Donatella Negri Donatella Negri (= 1×) peers Pavel Sova

Countries citing papers authored by Donatella Negri

Since Specialization
Citations

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

Fields of papers citing papers by Donatella Negri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donatella Negri

This figure shows the co-authorship network connecting the top 25 collaborators of Donatella Negri. A scholar is included among the top collaborators of Donatella Negri 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 Donatella Negri. Donatella Negri 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.
Pirillo, Maria Franca, Martina Borghi, Felicia Grasso, et al.. (2025). Simian Immunodeficiency Virus-Based Virus-like Particles Are an Efficient Tool to Induce Persistent Anti-SARS-CoV-2 Spike Neutralizing Antibodies and Specific T Cells in Mice. Vaccines. 13(3). 216–216. 1 indexed citations
2.
Macchia, Iole, Valentina La Sorsa, Alessandra Ciervo, et al.. (2024). T Cell Peptide Prediction, Immune Response, and Host–Pathogen Relationship in Vaccinated and Recovered from Mild COVID-19 Subjects. Biomolecules. 14(10). 1217–1217. 1 indexed citations
4.
Dispinseri, Stefania, Vito Lampasona, Massimiliano Secchi, et al.. (2021). Robust Neutralizing Antibodies to SARS-CoV-2 Develop and Persist in Subjects with Diabetes and COVID-19 Pneumonia. The Journal of Clinical Endocrinology & Metabolism. 106(5). 1472–1481. 35 indexed citations
5.
Bona, Roberta, Zuleika Michelini, Andrea Canitano, et al.. (2021). Safety and efficiency modifications of SIV-based integrase-defective lentiviral vectors for immunization. Molecular Therapy — Methods & Clinical Development. 23. 263–275. 9 indexed citations
6.
Borghi, Martina, Zuleika Michelini, Felicia Grasso, et al.. (2021). Integrase-Defective Lentiviral Vector Is an Efficient Vaccine Platform for Cancer Immunotherapy. Viruses. 13(2). 355–355. 19 indexed citations
7.
Dispinseri, Stefania, Massimiliano Secchi, Maria Franca Pirillo, et al.. (2021). Neutralizing antibody responses to SARS-CoV-2 in symptomatic COVID-19 is persistent and critical for survival. Nature Communications. 12(1). 2670–2670. 222 indexed citations breakdown →
8.
Blasi, Maria, Erich J. Baker, Celia C. LaBranche, et al.. (2020). Therapeutic vaccination with IDLV-SIV-Gag results in durable viremia control in chronically SHIV-infected macaques. npj Vaccines. 5(1). 36–36. 14 indexed citations
9.
Borghi, Martina, Maria Franca Pirillo, Serena Cecchetti, et al.. (2020). Development and Preclinical Evaluation of an Integrase Defective Lentiviral Vector Vaccine Expressing the HIVACAT T Cell Immunogen in Mice. Molecular Therapy — Methods & Clinical Development. 17. 418–428. 13 indexed citations
11.
Grasso, Felicia, Donatella Negri, Alessandra Rossi, et al.. (2012). Successful therapeutic vaccination with integrase defective lentiviral vector expressing nononcogenic human papillomavirus E7 protein. International Journal of Cancer. 132(2). 335–344. 38 indexed citations
12.
Vendetti, Silvia, Todd S. Davidson, Filippo Veglia, et al.. (2010). Polyclonal Treg cells enhance the activity of a mucosal adjuvant. Immunology and Cell Biology. 88(7). 698–706. 19 indexed citations
13.
Michelini, Zuleika, Donatella Negri, Silvia Baroncelli, et al.. (2009). Development and use of SIV-based Integrase defective lentiviral vector for immunization. Vaccine. 27(34). 4622–4629. 33 indexed citations
14.
Borsetti, Alessândra, Silvia Baroncelli, Maria Teresa Maggiorella, et al.. (2009). Containment of Infection in Tat Vaccinated Monkeys After Rechallenge with a Higher Dose of SHIV89.6P cy243. Viral Immunology. 22(2). 117–124. 11 indexed citations
15.
Negri, Donatella, Zuleika Michelini, Silvia Baroncelli, et al.. (2007). Successful Immunization with a Single Injection of Non-integrating Lentiviral Vector. Molecular Therapy. 15(9). 1716–1723. 66 indexed citations
16.
Buffa, Viviana, Donatella Negri, Pasqualina Leone, et al.. (2006). Evaluation of a Self-Inactivating Lentiviral Vector Expressing Simian Immunodeficiency Virus Gag for Induction of Specific Immune Responses in Vitro and in Vivo. Viral Immunology. 19(4). 690–701. 28 indexed citations
17.
Negri, Donatella, Viviana Buffa, Pasqualina Leone, et al.. (2004). Use of retroviral vectors for the analysis of SIV/HIV-specific CD8 T cell responses. Journal of Immunological Methods. 291(1-2). 153–163. 5 indexed citations
18.
Miotti, Silvia, Donatella Negri, Olga Valota, et al.. (1999). Level of anti-mouse-antibody response induced by bi-specific monoclonal antibody OC/TR in ovarian-carcinoma patients is associated with longer survival. International Journal of Cancer. 84(1). 62–68. 35 indexed citations
19.
Jacobs, Nathalie, Alessandra Mazzoni, Delia Mezzanzanica, et al.. (1997). Efficiency of T cell triggering by anti-CD3 monoclonal antibodies (mAb) with potential usefulness in bispecific mAb generation. Cancer Immunology Immunotherapy. 44(5). 257–264. 14 indexed citations
20.
Canevari, Silvana, Delia Mezzanzanica, Alessandra Mazzoni, et al.. (1995). Bispecific Antibody Targeted T Cell Therapy of Ovarian Cancer: Clinical Results and Future Directions. Journal of Hematotherapy. 4(5). 423–427. 37 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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