Luisa Bozzo

464 total citations
9 papers, 380 citations indexed

About

Luisa Bozzo is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Luisa Bozzo has authored 9 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Virology and 2 papers in Epidemiology. Recurrent topics in Luisa Bozzo's work include Immune Cell Function and Interaction (9 papers), HIV Research and Treatment (7 papers) and T-cell and Retrovirus Studies (2 papers). Luisa Bozzo is often cited by papers focused on Immune Cell Function and Interaction (9 papers), HIV Research and Treatment (7 papers) and T-cell and Retrovirus Studies (2 papers). Luisa Bozzo collaborates with scholars based in Italy, United States and Czechia. Luisa Bozzo's co-authors include Domenico Mavilio, Kelly Hudspeth, Emanuela Marcenaro, Alessandro Moretta, Enrico Brunetta, Stefania Varchetta, Manuela Fogli, Simona Fiorentini, Arnaldo Caruso and Manuela Grassi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Luisa Bozzo

9 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luisa Bozzo Italy	7	288	156	76	65	47	9	380
Morgan Jenkins United States	7	242 0.8×	128 0.8×	74 1.0×	63 1.0×	56 1.2×	7	382
Joachim Roland France	4	183 0.6×	155 1.0×	61 0.8×	82 1.3×	39 0.8×	4	340
Gina M. Lenzi United States	12	163 0.6×	232 1.5×	126 1.7×	134 2.1×	122 2.6×	13	427
Patrick Jourdan France	7	317 1.1×	180 1.2×	65 0.9×	62 1.0×	28 0.6×	7	418
Jadwiga Nitkiewicz United States	5	97 0.3×	169 1.1×	124 1.6×	88 1.4×	49 1.0×	7	382
Florian Bethke United States	9	106 0.4×	168 1.1×	62 0.8×	88 1.4×	77 1.6×	9	324
Shalini Rana United States	4	291 1.0×	234 1.5×	35 0.5×	58 0.9×	99 2.1×	8	415
Simona Bach Italy	9	220 0.8×	53 0.3×	42 0.6×	27 0.4×	41 0.9×	11	325
Danika Schepis Sweden	9	277 1.0×	157 1.0×	116 1.5×	37 0.6×	63 1.3×	10	443
Sangeeta Karle United States	14	154 0.5×	168 1.1×	32 0.4×	273 4.2×	50 1.1×	17	498

Countries citing papers authored by Luisa Bozzo

Since Specialization

Citations

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

Fields of papers citing papers by Luisa Bozzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luisa Bozzo

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

All Works

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9 of 9 papers shown

Mikulak, Joanna, Luisa Bozzo, Alessandra Roberto, et al.. (2014). Dopamine Inhibits the Effector Functions of Activated NK Cells via the Upregulation of the D5 Receptor. The Journal of Immunology. 193(6). 2792–2800. 33 indexed citations

Li, Song, Luisa Bozzo, Zhibin Wu, Wuyuan Lu, & Fabio Romerio. (2010). The HIV-1 matrix protein p17 activates the transcription factors c-Myc and CREB in human B cells.. PubMed. 33(1). 13–24. 6 indexed citations

Tosi, Giovanna, Luisa Bozzo, & Roberto S. Accolla. (2009). The dual function of the MHC class II transactivator CIITA against HTLV retroviruses. Frontiers in Bioscience-Landmark. 14(11). 4149–4156. 8 indexed citations

Brunetta, Enrico, Manuela Fogli, Stefania Varchetta, et al.. (2009). The decreased expression of Siglec-7 represents an early marker of dysfunctional natural killer–cell subsets associated with high levels of HIV-1 viremia. Blood. 114(18). 3822–3830. 113 indexed citations

Brunetta, Enrico, Manuela Fogli, Stefania Varchetta, et al.. (2009). Chronic HIV-1 viremia reverses NKG2A/NKG2C ratio on natural killer cells in patients with human cytomegalovirus co-infection. AIDS. 24(1). 27–34. 115 indexed citations

Tosi, Giovanna, Luisa Bozzo, Elisabetta Pilotti, Claudio Casoli, & Roberto S. Accolla. (2006). A dual defensive role of CIITA against retroviral infections. Retrovirology. 3(S1). 1 indexed citations

Fiorentini, Simona, Luisa Bozzo, Manuela Avolio, et al.. (2004). Preclinical studies on immunogenicity of the HIV‐1 p17‐based synthetic peptide AT20‐KLH. Biopolymers. 76(4). 334–343. 22 indexed citations

Vitale, Marco, Arnaldo Caruso, Maria Antonia De Francesco, et al.. (2003). HIV‐1 matrix protein p17 enhances the proliferative activity of natural killer cells and increases their ability to secrete proinflammatory cytokines. British Journal of Haematology. 120(2). 337–343. 30 indexed citations

Francesco, Maria Antonia De, Manuela Baronio, Simona Fiorentini, et al.. (2002). HIV-1 matrix protein p17 increases the production of proinflammatory cytokines and counteracts IL-4 activity by binding to a cellular receptor. Proceedings of the National Academy of Sciences. 99(15). 9972–9977. 52 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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