Roberto Azar

832 citations
19 papers · 567 · h-index 12

Impact in

    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
  • Epidemiology top 10%
    • Respiratory viral infections research
    • Influenza Virus Research Studies

Papers in

    • Respiratory viral infections research 8
    • Virology and Viral Diseases 3
    • Viral gastroenteritis research and epidemiology 5
    • SARS-CoV-2 detection and testing 4
    • SARS-CoV-2 and COVID-19 Research 4

Roberto Azar

18 papers receiving 530 citations

Peers

Roberto Azar
Comparison fields: 5 of 55
  • Infectious Diseases 196
  • Epidemiology 238
  • Rheumatology 89
  • Applied Microbiology and Biotechnology 9
  • Molecular Medicine 17
Replace R. Di Stefano with:
R. Di Stefano Italy
Lieve Van Hoovels Belgium
Évelyne Schvoerer France
Thuan Le United States
Suliman Aljumaah Saudi Arabia
Luiz F. Lisboa Canada
Josef Yeager United States
Takeshi Tajima Japan
Takahito Nei Japan
Janak Kishore India
Roberto Azar relative to R. Di Stefano Italy R. Di Stefano's profile →
Citations per field
00.5×3.3×
R. Di Stefano · 1×
Citations per year

Countries citing papers authored by Roberto Azar

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Azar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007187
2 200569
3 199341
4 200636
5 201034
6 200734
7 201032
8 199729
9 201626
10 199825
11 202116
12 202211
13 20229
14 20187
15 20215
16 19954
17 20251
18 20241
19 20160

About Roberto Azar

Roberto Azar is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 567 indexed citations. Recurring topics across this work include Respiratory viral infections research (8 papers), Viral gastroenteritis research and epidemiology (5 papers), SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Virology and Viral Diseases (3 papers), Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Infectious Diseases (196 citations), Epidemiology (238 citations), Rheumatology (89 citations), Applied Microbiology and Biotechnology (9 citations) and Molecular Medicine (17 citations). Roberto Azar has collaborated with scholars based in Israel. Frequent co-authors include Ella Mendelson, Michal Mandelboim, Noemi Varsano, Virginia Levy, Musa Hindiyeh, Zehava Grossman, Liora Regev, Irena Wigler, Ori Elkayam and Doron Comaneshter. Their work appears in journals such as Journal of Clinical Microbiology, Microbiology Spectrum, Viruses, Journal of Clinical Virology and PLoS ONE.

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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