Simone Villa

2.2k citations
41 papers · 588 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 15
    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 3
    • Pneumocystis jirovecii pneumonia detection and treatment 5
    • Mycobacterium research and diagnosis 5

Simone Villa

37 papers receiving 577 citations

Peers

Simone Villa
Comparison fields: 5 of 98
  • Infectious Diseases 291
  • Modeling and Simulation 45
  • Health 36
  • Clinical Psychology 74
  • Applied Microbiology and Biotechnology 5
Replace Yu‐Lin Tai with:
Yu‐Lin Tai Taiwan
Joshua Nazareth United Kingdom
Shazaad Ahmad United Kingdom
Mathias Dzobo South Africa
Berit Lange Germany
Serge Aleshin‐Guendel United States
Kelvin Bryan Tan Singapore
Victoria Knutson United States
Carolina Batista Switzerland
Jing Shan China
Simone Villa relative to Yu‐Lin Tai Taiwan Yu‐Lin Tai's profile →
Citations per field
00.5×3.5×
Yu‐Lin Tai · 1×
Citations per year

Countries citing papers authored by Simone Villa

Since Specialization
Citations

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

Fields of papers citing papers by Simone Villa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020154
2 202096
3 202145
4 202043
5 202140
6 202134
7 202021
8 201916
9 201915
10 202012
11 202011
12 202310
13 20169
14 20199
15 20237
16 20227
17 20147
18 20236
19 20235
20 20205

About Simone Villa

Simone Villa is a scholar working on Infectious Diseases, Epidemiology, Surgery, Public Health, Environmental and Occupational Health and Artificial Intelligence, having authored 41 papers that have together received 588 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Mycobacterium research and diagnosis (5 papers), Bayesian Modeling and Causal Inference (4 papers), Diagnosis and treatment of tuberculosis (3 papers), Infectious Diseases and Tuberculosis (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (291 citations), Modeling and Simulation (45 citations), Health (36 citations), Clinical Psychology (74 citations) and Applied Microbiology and Biotechnology (5 citations). Simone Villa has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Mario Raviǵlione, Andrea Gori, Alessandra Bandera, Davide Mangioni, Andrea Lombardi, Ernesto Jaramillo, Giorgio Bozzi, Valeria Castelli, Giovanni Sotgiu and Adrián Sánchez‐Montalvá. Their work appears in journals such as Tuberculosis, Scientific Reports, The International Journal of Tuberculosis and Lung Disease, Emerging infectious diseases and Eurosurveillance.

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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