Roberto Azar

839 citations
25 papers · 666 · h-index 13

Impact in

Papers in

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

Roberto Azar

23 papers receiving 621 citations

Peers

Roberto Azar
Comparison fields: 5 of 56
  • Infectious Diseases 224
  • Molecular Medicine 43
  • Epidemiology 257
  • Rheumatology 96
  • Applied Microbiology and Biotechnology 12
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Roberto Azar relative to Carl B. Lauter United States Carl B. Lauter's profile →
Citations per field
00.5×2×3.2×
Carl B. Lauter · 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

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007202
2 200569
3 199340
4 201039
5 200637
6 200734
7 201033
8 201330
9 201429
10 199729
11 199826
12 201626
13 202117
14 202213
15 201811
16 20229
17 20187
18 20214
19 19954
20 20233

About Roberto Azar

Roberto Azar is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Molecular Medicine and Pollution, having authored 25 papers that have together received 666 indexed citations. Recurring topics across this work include Respiratory viral infections research (8 papers), Viral gastroenteritis research and epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (4 papers), Viral Infections and Immunology Research (4 papers), Virology and Viral Diseases (3 papers), Virus-based gene therapy research (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Infectious Diseases (224 citations), Molecular Medicine (43 citations), Epidemiology (257 citations), Rheumatology (96 citations) and Applied Microbiology and Biotechnology (12 citations). Roberto Azar has collaborated with scholars based in Israel, Italy and Denmark. Frequent co-authors include Ella Mendelson, Michal Mandelboim, Musa Y. Hindiyeh, Noemi Varsano, Virginia Levy, Zehava Grossman, Liora Regev, S Oren, Jacob Nadav Ablin and Dan Caspi. Their work appears in journals such as Journal of Clinical Microbiology, Microbiology Spectrum, Viruses, PLoS ONE and Journal of Clinical Virology.

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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