Simone Pecetta

34 papers receiving 1.3k citations

Simone Pecetta's Hit Papers

Viral evolution prediction identifies broadly neutralizing antibodies to existing and prospective SARS-CoV-2 variants 2025 · 27 citations
270+1+2Years since publication50100150200

Peers

Simone Pecetta
Comparison fields: 5 of 101
  • Virology 261
  • Applied Microbiology and Biotechnology 137
  • Infectious Diseases 205
  • Pollution 103
  • Microbiology 48
Replace Ursula Hofer with:
Ursula Hofer Switzerland
Clark B. Inderlied United States
Adong Shen China
Catharina B. M. Maassen Netherlands
Peter J. Hart United Kingdom
Laura J. Dunphy United States
Kouichi Sano Japan
Louis‐Patrick Haraoui Canada
Frank Wolschendorf United States
Cassie F. Pope United Kingdom
Simone Pecetta relative to Ursula Hofer Switzerland Ursula Hofer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simone Pecetta

Since Specialization
Citations

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

Fields of papers citing papers by Simone Pecetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simone Pecetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simone Pecetta Line = papers co-authored together Simone Pecetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global trends in antibiotic consumption during 2016–2023 and future projections through 2030
Hit paper breakdown →
2024232
2 2019203
3
Global antibiotic use during the COVID-19 pandemic: analysis of pharmaceutical sales data from 71 countries, 2020–2022
Hit paper breakdown →
2023154
4 202168
5 202250
6 202047
7 202042
8 202241
9 201840
10 202439
11 201438
12 201136
13 201534
14 202332
15 202429
16
Viral evolution prediction identifies broadly neutralizing antibodies to existing and prospective SARS-CoV-2 variants
Hit paper breakdown →
202527
17 202326
18 201622
19 202120
20 202419

About Simone Pecetta

Simone Pecetta is a scholar working on Infectious Diseases, Virology, Microbiology, Applied Microbiology and Biotechnology and Immunology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), HIV Research and Treatment (5 papers), Bacterial Infections and Vaccines (5 papers), Antibiotic Use and Resistance (3 papers), Immune responses and vaccinations (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Dermatology and Skin Diseases (1 paper). The work is most often cited by research in Virology (261 citations), Applied Microbiology and Biotechnology (137 citations), Infectious Diseases (205 citations), Pollution (103 citations) and Microbiology (48 citations). Simone Pecetta has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include David E. Bloom, Arindam Nandi, Rino Rappuoli, Mariateresa Cipriano, Mariagrazia Pizza, Eili Y. Klein, Thomas P. Van Boeckel, Isabella Impalli, Philippe Denoël and Sanjay Kumar Phogat. Their work appears in journals such as Science Translational Medicine, Vaccine, Proceedings of the National Academy of Sciences, Nature Immunology and Nature Microbiology.

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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