Diego Piccioli

1.6k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Diego Piccioli is a scholar working on Immunology, Endocrinology and Microbiology. According to data from OpenAlex, Diego Piccioli has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Endocrinology and 5 papers in Microbiology. Recurrent topics in Diego Piccioli's work include Immunotherapy and Immune Responses (12 papers), Immune Response and Inflammation (7 papers) and T-cell and B-cell Immunology (7 papers). Diego Piccioli is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), Immune Response and Inflammation (7 papers) and T-cell and B-cell Immunology (7 papers). Diego Piccioli collaborates with scholars based in Italy, Switzerland and United States. Diego Piccioli's co-authors include Nicholas M. Valiante, Silverio Sbrana, Andreas Wack, Simona Tavarini, Sandra Nuti, Chiara Sammicheli, Erica Borgogni, Michela Brazzoli, Franco Locatelli and Monia Bardelli and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Diego Piccioli

22 papers receiving 1.2k citations

Hit Papers

Contact-dependent Stimulation and Inhibition of Dendritic... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers

Diego Piccioli
Cody C. Allison Australia
Arash Ronaghy United States
Susan M. Efler United States
Pat Caspar United States
Greta E. Weiss United States
Minh-Duc Nguyen United States
Irene S. Ludwig Netherlands
Daniel L. Popkin United States
Cody C. Allison Australia
Diego Piccioli
Citations per year, relative to Diego Piccioli Diego Piccioli (= 1×) peers Cody C. Allison

Countries citing papers authored by Diego Piccioli

Since Specialization
Citations

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

Fields of papers citing papers by Diego Piccioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Piccioli

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Piccioli. A scholar is included among the top collaborators of Diego Piccioli 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 Diego Piccioli. Diego Piccioli 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.
Mancini, Francesca, Renzo Alfini, Maria Grazia Aruta, et al.. (2024). Testing S. sonnei GMMA with and without Aluminium Salt-Based Adjuvants in Animal Models. Pharmaceutics. 16(4). 568–568. 2 indexed citations
2.
Mancini, Francesca, Renzo Alfini, Martina Carducci, et al.. (2023). Exploring the Role of GMMA Components in the Immunogenicity of a 4-Valent Vaccine against Shigella. International Journal of Molecular Sciences. 24(3). 2742–2742. 7 indexed citations
3.
Piccioli, Diego, Francesca Buricchi, Nicoletta Bechi, et al.. (2023). Enhanced Systemic Humoral Immune Response Induced in Mice by Generalized Modules for Membrane Antigens (GMMA) Is Associated with Affinity Maturation and Isotype Switching. Vaccines. 11(7). 1219–1219. 3 indexed citations
4.
Brazzoli, Michela, et al.. (2023). Challenges in development of vaccines directed toward antimicrobial resistant bacterial species. Human Vaccines & Immunotherapeutics. 19(2). 2228669–2228669. 9 indexed citations
5.
Moriel, Danilo Gomes, et al.. (2023). The overlooked bacterial pandemic. Seminars in Immunopathology. 45(4-6). 481–491. 12 indexed citations
6.
Piccioli, Diego, Renzo Alfini, Martina Carducci, et al.. (2022). Antigen presentation by Follicular Dendritic cells to cognate B cells is pivotal for Generalised Modules for Membrane Antigens (GMMA) immunogenicity. Vaccine. 40(44). 6305–6314. 9 indexed citations
7.
Micoli, Francesca, Renzo Alfini, Roberta Di Benedetto, et al.. (2021). Generalized Modules for Membrane Antigens as Carrier for Polysaccharides: Impact of Sugar Length, Density, and Attachment Site on the Immune Response Elicited in Animal Models. Frontiers in Immunology. 12. 22 indexed citations
8.
Piccioli, Diego, Erika Bartolini, & Francesca Micoli. (2021). GMMA as a ‘plug and play’ technology to tackle infectious disease to improve global health: context and perspectives for the future. Expert Review of Vaccines. 21(2). 163–172. 21 indexed citations
9.
Micoli, Francesca, Renzo Alfini, Roberta Di Benedetto, et al.. (2020). GMMA Is a Versatile Platform to Design Effective Multivalent Combination Vaccines. Vaccines. 8(3). 540–540. 66 indexed citations
10.
Brazzoli, Michela, Diego Piccioli, Marianna Taccone, et al.. (2019). Co-administration of GM-CSF expressing RNA is a powerful tool to enhance potency of SAM-based vaccines. Vaccine. 37(30). 4204–4213. 19 indexed citations
11.
Maele, Laurye Van, Delphine Cayet, Aurélie Chalon, et al.. (2019). Toll‐like receptor 4 signaling in hematopoietic‐lineage cells contributes to the enhanced activity of the human vaccine adjuvant AS01. European Journal of Immunology. 49(12). 2134–2145. 9 indexed citations
12.
Baudner, Barbara C., et al.. (2018). Alum/Toll-Like Receptor 7 Adjuvant Enhances the Expansion of Memory B Cell Compartment Within the Draining Lymph Node. Frontiers in Immunology. 9. 641–641. 18 indexed citations
13.
Woodruff, Matthew C., Simona Tavarini, Chiara Sammicheli, et al.. (2017). Vaccine adjuvant MF59 promotes the intranodal differentiation of antigen-loaded and activated monocyte-derived dendritic cells. PLoS ONE. 12(10). e0185843–e0185843. 40 indexed citations
14.
Giusti, Fabiola, Anja Seubert, Marco Tortoli, et al.. (2015). Ultrastructural Visualization of Vaccine Adjuvant Uptake In Vitro and In Vivo. Microscopy and Microanalysis. 21(4). 791–795. 7 indexed citations
15.
Sammicheli, Chiara, et al.. (2011). Surface molecules on stimulated plasmacytoid dendritic cells are sufficient to cross-activate resting myeloid dendritic cells. Human Immunology. 72(11). 1018–1021. 5 indexed citations
16.
Crotta, Stefania, Michela Brazzoli, Diego Piccioli, Nicholas M. Valiante, & Andreas Wack. (2009). Hepatitis C virions subvert natural killer cell activation to generate a cytokine environment permissive for infection. Journal of Hepatology. 52(2). 183–190. 64 indexed citations
17.
Piccioli, Diego, Chiara Sammicheli, Simona Tavarini, et al.. (2009). Human plasmacytoid dendritic cells are unresponsive to bacterial stimulation and require a novel type of cooperation with myeloid dendritic cells for maturation. Blood. 113(18). 4232–4239. 67 indexed citations
18.
Piccioli, Diego, Simona Tavarini, Erica Borgogni, et al.. (2007). Functional specialization of human circulating CD16 and CD1c myeloid dendritic-cell subsets. Blood. 109(12). 5371–5379. 166 indexed citations
19.
Piccioli, Diego, Simona Tavarini, Sandra Nuti, et al.. (2004). Comparable functions of plasmacytoid and monocyte-derived dendritic cells in chronic hepatitis C patients and healthy donors. Journal of Hepatology. 42(1). 61–67. 94 indexed citations
20.
Piccioli, Diego, et al.. (2002). Contact-dependent Stimulation and Inhibition of Dendritic Cells by Natural Killer Cells. The Journal of Experimental Medicine. 195(3). 335–341. 554 indexed citations breakdown →

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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