Serena Ziglio

755 total citations · 1 hit paper
8 papers, 525 citations indexed

About

Serena Ziglio is a scholar working on Virology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Serena Ziglio has authored 8 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 5 papers in Epidemiology and 3 papers in Infectious Diseases. Recurrent topics in Serena Ziglio's work include HIV Research and Treatment (8 papers), Herpesvirus Infections and Treatments (4 papers) and HIV/AIDS Research and Interventions (3 papers). Serena Ziglio is often cited by papers focused on HIV Research and Treatment (8 papers), Herpesvirus Infections and Treatments (4 papers) and HIV/AIDS Research and Interventions (3 papers). Serena Ziglio collaborates with scholars based in Italy, United States and Spain. Serena Ziglio's co-authors include Massimo Pizzato, Ajit Chande, Annachiara Rosa, Sean Matthew McCauley, Jeremy Luban, Roberto Bertorelli, Stylianos E. Antonarakis, Veronica De Sanctis, Anetta Nowosielska and Shih Lin Goh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Serena Ziglio

8 papers receiving 524 citations

Hit Papers

HIV-1 Nef promotes infection by excluding SERINC5 from vi... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serena Ziglio Italy 6 394 201 189 160 143 8 525
Yukie Iwabu Japan 12 317 0.8× 172 0.9× 172 0.9× 149 0.9× 151 1.1× 22 536
Gustavo Gers-Huber Switzerland 7 309 0.8× 136 0.7× 204 1.1× 166 1.0× 115 0.8× 7 474
Masanobu Kinomoto Japan 10 345 0.9× 194 1.0× 134 0.7× 128 0.8× 120 0.8× 13 452
Suzanne Pickering United Kingdom 12 381 1.0× 294 1.5× 346 1.8× 187 1.2× 157 1.1× 18 738
Vanessa B. Soros United States 9 394 1.0× 196 1.0× 176 0.9× 201 1.3× 300 2.1× 13 660
Su Jung Yang United States 8 284 0.7× 132 0.7× 123 0.7× 203 1.3× 78 0.5× 9 414
Stefanie Homann United States 11 544 1.4× 178 0.9× 296 1.6× 252 1.6× 190 1.3× 14 720
Mark Skasko United States 10 584 1.5× 255 1.3× 220 1.2× 298 1.9× 199 1.4× 11 740
Adarsh Dharan United States 9 483 1.2× 287 1.4× 128 0.7× 142 0.9× 277 1.9× 11 670
Josephine Romano United States 10 466 1.2× 221 1.1× 269 1.4× 99 0.6× 109 0.8× 12 526

Countries citing papers authored by Serena Ziglio

Since Specialization
Citations

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

Fields of papers citing papers by Serena Ziglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Ziglio

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

All Works

8 of 8 papers shown
1.
Biswas, Priscilla, Francesca Sironi, Maria Teresa Scupoli, et al.. (2017). HIV-1 Env associates with HLA-C free-chains at the cell membrane modulating viral infectivity. Scientific Reports. 7(1). 40037–40037. 16 indexed citations
2.
Chande, Ajit, et al.. (2016). S2 from equine infectious anemia virus is an infectivity factor which counteracts the retroviral inhibitors SERINC5 and SERINC3. Proceedings of the National Academy of Sciences. 113(46). 13197–13202. 74 indexed citations
3.
Pizzato, Massimo, Sean Matthew McCauley, Martha R. Neagu, et al.. (2015). Lv4 Is a Capsid-Specific Antiviral Activity in Human Blood Cells That Restricts Viruses of the SIVMAC/SIVSM/HIV-2 Lineage Prior to Integration. PLoS Pathogens. 11(7). e1005050–e1005050. 20 indexed citations
4.
Armas‐Rillo, Laura de, Jonathan Barroso-González, Serena Ziglio, et al.. (2015). The HDAC6/APOBEC3G complex regulates HIV-1 infectiveness by inducing Vif autophagic degradation. Retrovirology. 12(1). 53–53. 48 indexed citations
5.
Rosa, Annachiara, Ajit Chande, Serena Ziglio, et al.. (2015). HIV-1 Nef promotes infection by excluding SERINC5 from virion incorporation. Nature. 526(7572). 212–217. 325 indexed citations breakdown →
6.
García-Expósito, Laura, Serena Ziglio, Jonathan Barroso-González, et al.. (2013). Gelsolin activity controls efficient early HIV-1 infection. Retrovirology. 10(1). 39–39. 35 indexed citations
7.
Pizzato, Massimo, Martha R. Neagu, Thomas Pertel, et al.. (2013). Lv4, an activity that restricts nuclear entry of SIVMAC/SIVSM in human blood cells. Retrovirology. 10(S1). 2 indexed citations
8.
Ruffin, Nicolas, Zelda Euler, Fabio Fiorino, et al.. (2012). Rational design of HIV vaccines and microbicides: report of the EUROPRISE annual conference 2011. Journal of Translational Medicine. 10(1). 5 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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