Flavia Bazzoni

7.0k total citations · 2 hit papers
67 papers, 5.6k citations indexed

About

Flavia Bazzoni is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Flavia Bazzoni has authored 67 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Immunology, 19 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Flavia Bazzoni's work include Immune Response and Inflammation (30 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (20 papers) and Immune cells in cancer (10 papers). Flavia Bazzoni is often cited by papers focused on Immune Response and Inflammation (30 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (20 papers) and Immune cells in cancer (10 papers). Flavia Bazzoni collaborates with scholars based in Italy, United States and Canada. Flavia Bazzoni's co-authors include Bruce Beutler, Marco A. Cassatella, Marzia Rossato, Filippo Rossi, Nicola Tamassia, Patrizia Scapini, Sara Gasperini, Federica Calzetti, Massimo Locati and Massimiliano Mirolo and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Flavia Bazzoni

65 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Tumor Necrosis Factor Ligand and Receptor Families

1996 1.0k citations Flavia Bazzoni, Bruce Beutler profile →
The neutrophil as a cellular source of chemokines

2000 625 citations Sara Gasperini, Federica Calzetti et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Flavia Bazzoni Italy	36	3.1k	1.7k	1.0k	871	640	67	5.6k
Brian M. J. Foxwell United Kingdom	40	3.2k 1.0×	1.7k 1.0×	1.3k 1.2×	1.0k 1.2×	710 1.1×	69	5.8k
Hartmut Engelmann Israel	32	3.5k 1.1×	1.4k 0.8×	671 0.6×	940 1.1×	762 1.2×	48	5.6k
Daniela Bosisio Italy	37	3.3k 1.1×	1.4k 0.8×	689 0.7×	840 1.0×	536 0.8×	74	5.2k
Irina A. Udalova United Kingdom	43	3.9k 1.3×	1.9k 1.1×	964 0.9×	864 1.0×	1.0k 1.6×	93	6.8k
Tetsuya Matsuguchi Japan	41	2.4k 0.8×	1.8k 1.1×	608 0.6×	772 0.9×	515 0.8×	106	5.2k
Ken Schooley United States	15	3.3k 1.1×	3.3k 2.0×	913 0.9×	996 1.1×	839 1.3×	17	6.5k
Shomyseh Sanjabi United States	22	3.0k 1.0×	1.7k 1.0×	738 0.7×	1.4k 1.6×	401 0.6×	32	5.5k
Helmut Holtmann Germany	30	2.5k 0.8×	2.8k 1.7×	1.0k 1.0×	937 1.1×	622 1.0×	54	5.4k
Shizuo Akira Japan	21	4.1k 1.3×	2.3k 1.4×	895 0.9×	2.1k 2.4×	745 1.2×	26	7.3k
Jack B. Cowland Denmark	40	3.1k 1.0×	2.4k 1.5×	678 0.7×	488 0.6×	782 1.2×	80	7.5k

Countries citing papers authored by Flavia Bazzoni

Since Specialization

Citations

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

Fields of papers citing papers by Flavia Bazzoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavia Bazzoni

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mariotti, Barbara, et al.. (2025). Innate immune reprogramming in circulating neutrophils of COPD patients. Journal of Allergy and Clinical Immunology. 156(2). 373–384. 3 indexed citations

Salvi, Valentina, Barbara Mariotti, Tiziana Schioppa, et al.. (2024). Cell damage shifts the microRNA content of small extracellular vesicles into a Toll-like receptor 7-activating cargo capable to propagate inflammation and immunity. Cell Communication and Signaling. 22(1). 536–536.

Curtale, Graziella, Tiziana A. Renzi, Massimiliano Mirolo, et al.. (2018). Multi-Step Regulation of the TLR4 Pathway by the miR-125a~99b~let-7e Cluster. Frontiers in Immunology. 9. 2037–2037. 35 indexed citations

Giordano, Guido, Antonio Febbraro, Maria Lucia Sarnicola, et al.. (2015). Cancer-related CD15/FUT4 overexpression decreases benefit to agents targeting EGFR or VEGF acting as a novel RAF-MEK-ERK kinase downstream regulator in metastatic colorectal cancer. Journal of Experimental & Clinical Cancer Research. 34(1). 108–108. 57 indexed citations

Tamassia, Nicola, Marco A. Cassatella, & Flavia Bazzoni. (2014). Fast and Accurate Quantitative Analysis of Cytokine Gene Expression in Human Neutrophils. Methods in molecular biology. 1124. 451–467. 17 indexed citations

Curtale, Graziella, Massimiliano Mirolo, Tiziana A. Renzi, et al.. (2013). Negative regulation of Toll-like receptor 4 signaling by IL-10–dependent microRNA-146b. Proceedings of the National Academy of Sciences. 110(28). 11499–11504. 220 indexed citations

Rossato, Marzia, Francesca Morandini, Annalisa Castagna, et al.. (2013). Optimizing the purification and analysis of miRNAs from urinary exosomes. Clinical Chemistry and Laboratory Medicine (CCLM). 52(3). 345–354. 54 indexed citations

Giacomelli, Mauro, Nicola Tamassia, Daniele Moratto, et al.. (2011). SH2‐domain mutations in STAT3 in hyper‐IgE syndrome patients result in impairment of IL‐10 function. European Journal of Immunology. 41(10). 3075–3084. 17 indexed citations

Morandini, Francesca, Linda Avesani, Luisa Bortesi, et al.. (2011). Non‐food/feed seeds as biofactories for the high‐yield production of recombinant pharmaceuticals. Plant Biotechnology Journal. 9(8). 911–921. 40 indexed citations

10.

Bazzoni, Flavia, Marzia Rossato, Marco Fabbri, et al.. (2009). Induction and regulatory function of miR-9 in human monocytes and neutrophils exposed to proinflammatory signals. Proceedings of the National Academy of Sciences. 106(13). 5282–5287. 465 indexed citations

11.

Tamassia, Nicola, Federica Calzetti, Marzia Rossato, et al.. (2008). Circulating neutrophils of septic patients constitutively express IL-10R1 and are promptly responsive to IL-10. International Immunology. 20(4). 535–541. 22 indexed citations

12.

Tamassia, Nicola, Federica Calzetti, Thornin Ear, et al.. (2007). Molecular mechanisms underlying the synergistic induction of CXCL10 by LPS and IFN‐γ in human neutrophils. European Journal of Immunology. 37(9). 2627–2634. 46 indexed citations

13.

Cassatella, Marco A., Nicola Tamassia, Luca Crepaldi, et al.. (2005). Lipopolysaccharide primes neutrophils for a rapid response to IL-10. European Journal of Immunology. 35(6). 1877–1885. 25 indexed citations

14.

Locati, Massimo, Giuseppe Bianchi, Manuela Nebuloni, et al.. (2004). Distinct Transcriptional Programs Activated by Interleukin-10 with or without Lipopolysaccharide in Dendritic Cells: Induction of the B Cell-Activating Chemokine, CXC Chemokine Ligand 13.. The Journal of Immunology. 173(3). 2199–2200. 2 indexed citations

15.

Martínez, Fernando O., Massimo Locati, Giuseppe Bianchi, et al.. (2004). Distinct Transcriptional Programs Activated by Interleukin-10 with or without Lipopolysaccharide in Dendritic Cells: Induction of the B Cell-Activating Chemokine, CXC Chemokine Ligand 13. The Journal of Immunology. 172(11). 7031–7042. 92 indexed citations

16.

Berlato, Chiara, et al.. (2002). Involvement of Suppressor of Cytokine Signaling-3 as a Mediator of the Inhibitory Effects of IL-10 on Lipopolysaccharide-Induced Macrophage Activation. The Journal of Immunology. 168(12). 6404–6411. 229 indexed citations

17.

Bazzoni, Flavia, Véronique Kruys, Aleksander M. Shakhov, C. Victor Jongeneel, & Bruce Beutler. (1994). Analysis of tumor necrosis factor promoter responses to ultraviolet light.. Journal of Clinical Investigation. 93(1). 56–62. 42 indexed citations

18.

Bazzoni, Flavia, et al.. (1993). Studies on the production of proinflammatory cytokines and on the modulation of gene expression for some NADPH oxidase components by phagocytosing human neutrophils. 1. 99–106. 2 indexed citations

19.

Bellavite, Paolo, et al.. (1990). Isolation and characterization of a cDNA clone for a novel serine-rich neutrophil protein. Biochemical and Biophysical Research Communications. 170(2). 915–922. 6 indexed citations

20.

Bazzoni, Flavia, et al.. (1988). Activation of human neutrophils by substance P. Effect on oxidative metabolism, exocytosis, cytosolic Ca2+ concentration and inositol phosphate formation.. The Journal of Immunology. 141(6). 2118–2124. 126 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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