Sandro Cinquetti

27 papers receiving 453 citations

Peers

Sandro Cinquetti
Comparison fields: 5 of 116
  • Health 64
  • Modeling and Simulation 37
  • Infectious Diseases 68
  • Microbiology 18
  • Clinical Psychology 55
Replace Rosa Lívia Freitas de Almeida with:
Rosa Lívia Freitas de Almeida Brazil
Yurie Kobashi Japan
Kathryn L. Hopkins United States
Mara Howard-Williams United States
Jamison J. Pike United States
Wasiq Mehmood Khan Egypt
Md Jamal Uddin Bangladesh
May Pui Shan Yeung Hong Kong
Lauren Barredo India
Neisha Sundaram United Kingdom
Sandro Cinquetti relative to Rosa Lívia Freitas de Almeida Brazil Rosa Lívia Freitas de Almeida's profile →
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Citations per year

Countries citing papers authored by Sandro Cinquetti

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Cinquetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
epidemiologia e prevenzione
2014126
2 202055
3 202050
4 202139
5 202029
6 200723
7 200619
8 200617
9 202216
10 202416
11 201914
12 200811
13 20108
14 20228
15 20197
16 20207
17 20215
18 20204
19 20234
20 20213

About Sandro Cinquetti

Sandro Cinquetti is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Health and Food Science, having authored 30 papers that have together received 474 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Tuberculosis Research and Epidemiology (2 papers), Global Cancer Incidence and Screening (2 papers), Obesity, Physical Activity, Diet (2 papers), Food Safety and Hygiene (2 papers), Vaccine Coverage and Hesitancy (2 papers), Misinformation and Its Impacts (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Health (64 citations), Modeling and Simulation (37 citations), Infectious Diseases (68 citations), Microbiology (18 citations) and Clinical Psychology (55 citations). Sandro Cinquetti has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Maria Triassi, Francesco Maria Vitale, Antonio Maria Ferro, Gaetano Pierpaolo Privitera, Dario Tedesco, Walter Ricciardi, Claudio Costantino, Emanuele Torri, Enrico Rosa and Cinzia Piovesan. Their work appears in journals such as International Journal of Environmental Research and Public Health, Vaccine, Eurosurveillance, Vaccines and Advances in Therapy.

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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