Giulia Piccini

1.4k total citations · 1 hit paper
16 papers, 446 citations indexed

About

Giulia Piccini is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Giulia Piccini has authored 16 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Giulia Piccini's work include SARS-CoV-2 and COVID-19 Research (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Pneumonia and Respiratory Infections (4 papers). Giulia Piccini is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Pneumonia and Respiratory Infections (4 papers). Giulia Piccini collaborates with scholars based in Italy, United Kingdom and Netherlands. Giulia Piccini's co-authors include Emanuele Montomoli, Rino Rappuoli, Linda Benincasa, Ida Paciello, Emanuele Andreano, Noemi Manganaro, Elisa Pantano, Inesa Hyseni, Alessandro Manenti and Danilo Licastro and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Giulia Piccini

14 papers receiving 437 citations

Hit Papers

SARS-CoV-2 escape from a highly neutralizing COVID-19 con... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Piccini Italy 9 359 127 62 59 57 16 446
Martin Müller Germany 8 585 1.6× 174 1.4× 120 1.9× 137 2.3× 98 1.7× 12 764
Justin Taylor United States 5 303 0.8× 89 0.7× 59 1.0× 46 0.8× 85 1.5× 6 399
Jiaming Lan China 13 464 1.3× 86 0.7× 69 1.1× 78 1.3× 187 3.3× 37 576
Danwei Yu China 8 323 0.9× 106 0.8× 80 1.3× 60 1.0× 39 0.7× 13 395
Bruce R. Newton United States 7 202 0.6× 113 0.9× 59 1.0× 107 1.8× 31 0.5× 8 428
Shaofeng Deng China 10 360 1.0× 100 0.8× 65 1.0× 77 1.3× 100 1.8× 21 501
Daniel Maloney United Kingdom 6 521 1.5× 213 1.7× 20 0.3× 63 1.1× 109 1.9× 11 626
Rachel Colquhoun United Kingdom 5 527 1.5× 241 1.9× 18 0.3× 66 1.1× 112 2.0× 9 644
Yuchun Nie China 7 484 1.3× 101 0.8× 52 0.8× 82 1.4× 240 4.2× 9 631
Craig Thompson United Kingdom 8 190 0.5× 46 0.4× 29 0.5× 142 2.4× 52 0.9× 17 324

Countries citing papers authored by Giulia Piccini

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Piccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Piccini

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

All Works

16 of 16 papers shown
1.
Marchi, Serena, Giulia Piccini, Edmond J. Remarque, et al.. (2025). Correlation between microneutralization test and a multiplexed immunoassay for evaluation of monkeypox and vaccinia virus antibodies before and after smallpox vaccination. Frontiers in Immunology. 16. 1585284–1585284. 1 indexed citations
2.
Bruno, Laura, Juan M. Corchado, Giulia Piccini, et al.. (2025). Development of bivalent RBD adapted COVID-19 vaccines for broad sarbecovirus immunity. npj Vaccines. 10(1). 108–108.
3.
Engelhardt, Othmar G., Geert H. Groeneveld, Simon P. Jochems, et al.. (2025). Development of an intranasal, universal influenza vaccine in an EU-funded public-private partnership: the FLUniversal consortium. Frontiers in Immunology. 16. 1568778–1568778.
4.
Marchi, Serena, Giulia Piccini, Linda Benincasa, et al.. (2024). Evaluation of monkeypox‐ and vaccinia‐virus neutralizing antibodies before and after smallpox vaccination: A sero‐epidemiological study. Journal of Medical Virology. 96(6). e29728–e29728. 5 indexed citations
5.
Andreano, Emanuele, Ida Paciello, Giuseppe Maccari, et al.. (2023). mRNA vaccines and hybrid immunity use different B cell germlines against Omicron BA.4 and BA.5. Nature Communications. 14(1). 1734–1734. 10 indexed citations
6.
Manenti, Alessandro, Margherita Leonardi, Linda Benincasa, et al.. (2023). Evaluation of Monkeypox- and Vaccinia virus-neutralizing antibodies in human serum samples after vaccination and natural infection. Frontiers in Public Health. 11. 1195674–1195674. 17 indexed citations
7.
Marrocco, Camilla, Pietro Piu, Giulia Piccini, et al.. (2023). Validation of a double-color ELISpot assay of IFN-γ and IL-4 production in human peripheral blood mononuclear cells. Journal of Immunological Methods. 524. 113588–113588. 2 indexed citations
8.
Andreano, Emanuele, Ida Paciello, Lorena Donnici, et al.. (2022). Anatomy of Omicron BA.1 and BA.2 neutralizing antibodies in COVID-19 mRNA vaccinees. Nature Communications. 13(1). 3375–3375. 15 indexed citations
9.
Andreano, Emanuele, Ida Paciello, Giulia Piccini, et al.. (2021). Hybrid immunity improves B cells and antibodies against SARS-CoV-2 variants. Nature. 600(7889). 530–535. 85 indexed citations
10.
Andreano, Emanuele, Giulia Piccini, Danilo Licastro, et al.. (2021). SARS-CoV-2 escape from a highly neutralizing COVID-19 convalescent plasma. Proceedings of the National Academy of Sciences. 118(36). 246 indexed citations breakdown →
11.
Piccini, Giulia & Emanuele Montomoli. (2020). Pathogenic signature of invasive non-typhoidal Salmonella in Africa: implications for vaccine development. Human Vaccines & Immunotherapeutics. 16(9). 2056–2071. 16 indexed citations
12.
Gianchecchi, Elena, Giulia Piccini, Alessandro Torelli, Rino Rappuoli, & Emanuele Montomoli. (2017). An unwanted guest:Neisseria meningitidis– carriage, risk for invasive disease and the impact of vaccination with insight on Italy incidence. Expert Review of Anti-infective Therapy. 15(7). 689–701. 10 indexed citations
13.
Gianchecchi, Elena, Alessandro Torelli, Giulia Piccini, Simona Piccirella, & Emanuele Montomoli. (2016). N. meningitidis and TLR Polymorphisms: A Fascinating Immunomodulatory Network. Vaccines. 4(2). 20–20. 6 indexed citations
14.
Piccini, Giulia, Alessandro Torelli, Elena Gianchecchi, Simona Piccirella, & Emanuele Montomoli. (2016). FightingNeisseria meningitidis: past and current vaccination strategies. Expert Review of Vaccines. 15(11). 1393–1407. 11 indexed citations
15.
Gianchecchi, Elena, Alessandro Torelli, Giulia Piccini, Simona Piccirella, & Emanuele Montomoli. (2015). Neisseria meningitidisinfection: who, when and where?. Expert Review of Anti-infective Therapy. 13(10). 1249–1263. 17 indexed citations
16.
Torelli, Alessandro, Elena Gianchecchi, Simona Piccirella, et al.. (2015). Sea buckthorn bud extract displays activity against cell-cultured Influenza virus. PubMed. 56(2). E51–6. 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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