Vanessa Cozza

635 citations
18 papers · 416 · h-index 11

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Pneumonia and Respiratory Infections
    • Respiratory viral infections research
    • Virology and Viral Diseases
    • Hepatitis B Virus Studies

Papers in

    • Influenza Virus Research Studies 10
    • Virology and Viral Diseases 3
    • Pneumonia and Respiratory Infections 3
    • Respiratory viral infections research 2
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • Bacterial Infections and Vaccines 4

Vanessa Cozza

17 papers receiving 396 citations

Peers

Vanessa Cozza
Comparison fields: 5 of 64
  • Health 143
  • Epidemiology 251
  • Microbiology 31
  • Modeling and Simulation 21
  • Infectious Diseases 67
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Citations per field
00.5×3.1×
Yoann Nedelec · 1×
Citations per year

Countries citing papers authored by Vanessa Cozza

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Cozza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2012101
2 201479
3 201834
4 201329
5 201527
6 201325
7 202025
8 201423
9 201521
10 202012
11 202111
12 20149
13 20145
14 20145
15 20154
16 20244
17 20142
18 20260

About Vanessa Cozza

Vanessa Cozza is a scholar working on Epidemiology, Microbiology, Health, Modeling and Simulation and Infectious Diseases, having authored 18 papers that have together received 416 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (4 papers), COVID-19 epidemiological studies (4 papers), Bacterial Infections and Vaccines (4 papers), Virology and Viral Diseases (3 papers), Pneumonia and Respiratory Infections (3 papers), Respiratory viral infections research (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Health (143 citations), Epidemiology (251 citations), Microbiology (31 citations), Modeling and Simulation (21 citations) and Infectious Diseases (67 citations). Vanessa Cozza has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Rosa Prato, Domenico Martinelli, Francesca Fortunato, Silvio Tafuri, Maria Giovanna Cappelli, Manon Haverkate, Fortunato D’Ancona, Pier Luigi Lopalco, K Johansen and Cristina Giambi. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Journal of Immunology Research, Vaccine, Journal of Global Health and China CDC Weekly.

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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