Francesco Vaia

3.4k total citations · 1 hit paper
32 papers, 704 citations indexed

About

Francesco Vaia is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Francesco Vaia has authored 32 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 10 papers in Epidemiology and 8 papers in Virology. Recurrent topics in Francesco Vaia's work include SARS-CoV-2 and COVID-19 Research (13 papers), COVID-19 Clinical Research Studies (7 papers) and Herpesvirus Infections and Treatments (7 papers). Francesco Vaia is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (13 papers), COVID-19 Clinical Research Studies (7 papers) and Herpesvirus Infections and Treatments (7 papers). Francesco Vaia collaborates with scholars based in Italy, United States and United Kingdom. Francesco Vaia's co-authors include Enrico Girardi, Andrea Antinori, Emanuele Nicastri, Vincenzo Puro, Valentina Mazzotta, Anna Rosa Garbuglia, Stefania Cicalini, Francesco Vairo, Silvia Pittalis and Emanuela Giombini and has published in prestigious journals such as International Journal of Molecular Sciences, Clinical Microbiology and Infection and Journal of Medical Virology.

In The Last Decade

Francesco Vaia

31 papers receiving 689 citations

Hit Papers

Epidemiological, clinical and virological characteristics... 2022 2026 2023 2024 2022 100 200 300

Peers

Francesco Vaia
Comparison fields: 5 of 80
  • Virology 393
  • Molecular Biology 365
  • Epidemiology 337
  • Infectious Diseases 220
  • Plant Science 40
Replace Boghuma K Titanji with:
Boghuma K Titanji United States
Silvia Pittalis Italy
Christine Casey United States
Eva Heger Germany
Danny Asogun Nigeria
Hannah M. Cheeseman United Kingdom
Kathryn E. Stephenson United States
Daniel Camprubí Spain
Henning Gruell Germany
Reigran Sampoleo United States
Boghuma K Titanji United States View profile →
Citations per field, relative to Francesco Vaia
Francesco Vaia · 1×
Citations per year, relative to Francesco Vaia
Francesco Vaia · 1×

Countries citing papers authored by Francesco Vaia

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Vaia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Vaia

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 4
3 3
4 1
5 16
6 3
7 14
8 12
9 4
10 12
11 3
12 2
13 15
14 4
15 21
16 18
17 17
18 21
19 30
20 28

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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