Giulia Torriani

1.5k citations
21 papers · 799 · h-index 15

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology

Papers in

Giulia Torriani

21 papers receiving 791 citations

Peers

Giulia Torriani
Comparison fields: 5 of 81
  • Infectious Diseases 615
  • Modeling and Simulation 31
  • Animal Science and Zoology 41
  • Emergency Medical Services 20
  • Epidemiology 93
Replace Rhys Pryce with:
Rhys Pryce United Kingdom
Bryan A. Johnson United States
Kaylie N. Tran Canada
Nungruthai Suntronwong Thailand
David C. Gaston United States
Jeremy J. Bearss United States
Talitha Veith Germany
Manel Essaidi-Laziosi Switzerland
Kasopefoluwa Y. Oguntuyo United States
Raveen Rathnasinghe United States
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Citations per field
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Citations per year

Countries citing papers authored by Giulia Torriani

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Torriani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giulia Torriani, 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 Giulia Torriani Line = papers co-authored together Giulia Torriani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020108
2 2020102
3 202094
4 202191
5 201667
6 201755
7 202143
8 202036
9 201933
10 202023
11 202022
12 202021
13 201621
14 201920
15 202019
16 202014
17 202112
18 20168
19 20217
20 20232

About Giulia Torriani

Giulia Torriani is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Surgery and Neurology, having authored 21 papers that have together received 799 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Viral Infections and Vectors (6 papers), SARS-CoV-2 detection and testing (5 papers), COVID-19 Clinical Research Studies (5 papers), Mosquito-borne diseases and control (3 papers), Respiratory viral infections research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (615 citations), Modeling and Simulation (31 citations), Animal Science and Zoology (41 citations), Emergency Medical Services (20 citations) and Epidemiology (93 citations). Giulia Torriani has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Isabella Eckerle, Stefan Kunz, Laurent Kaiser, Benjamin Meyer, Sabine Yerly, Nicolas Vuilleumier, Sylvia Rothenberger, Olivier Engler, Pascale Sattonnet‐Roche and Gert Zimmer. Their work appears in journals such as Journal of Virology, Emerging Microbes & Infections, Virology, Viruses and Journal of Clinical 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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