Esam I. Azhar
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 66
- Viral Infections and Vectors 40
- Viral gastroenteritis research and epidemiology 26
- Modeling and Simulation top 0.2%
- Molecular Medicine top 1%
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 23
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- Mosquito-borne diseases and control 42
- Travel-related health issues 24
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- Genomics and Phylogenetic Studies 32
- Gut microbiota and health 25
- Co-authors
- Alimuddin ZumlaDavid S.C. HuiKwok‐Yung YuenJasper Fuk‐Woo ChanSherif A. El‐KafrawyMuhammad YasirAhmed M. HassanAnwar M. Hashem
- Journals
- Journal of Infection and Public Health (14 papers)Saudi Journal of Biological Sciences (14 papers)International Journal of Infectious Diseases (12 papers)
- Partner nations
- Saudi ArabiaUnited KingdomUnited States
In The Last Decade
Esam I. Azhar
337 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Infectious Diseases 4.4k
- Modeling and Simulation 786
- Applied Microbiology and Biotechnology 189
- Molecular Medicine 393
- Animal Science and Zoology 684
Countries citing papers authored by Esam I. Azhar
This map shows the geographic impact of Esam I. Azhar'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 Esam I. Azhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esam I. Azhar more than expected).
Fields of papers citing papers by Esam I. Azhar
This network shows the impact of papers produced by Esam I. Azhar. 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 Esam I. Azhar. The network helps show where Esam I. Azhar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Esam I. Azhar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 21 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 30 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 15 | |
| 20 | 2013 | 6 |
About Esam I. Azhar
Esam I. Azhar is a scholar working on Infectious Diseases, Modeling and Simulation and Molecular Medicine, having authored 357 papers that have together received 9.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (66 papers), Mosquito-borne diseases and control (42 papers), Viral Infections and Vectors (40 papers), Genomics and Phylogenetic Studies (32 papers), Viral gastroenteritis research and epidemiology (26 papers), Gut microbiota and health (25 papers), Travel-related health issues (24 papers) and Animal Virus Infections Studies (23 papers). The work is most often cited by research in Infectious Diseases (4.4k citations), Modeling and Simulation (786 citations) and Applied Microbiology and Biotechnology (189 citations). Esam I. Azhar has collaborated with scholars based in Saudi Arabia, United Kingdom and United States. Frequent co-authors include Alimuddin Zumla, David S.C. Hui, Kwok‐Yung Yuen, Jasper Fuk‐Woo Chan, Sherif A. El‐Kafrawy, Muhammad Yasir, Ahmed M. Hassan, Anwar M. Hashem, Ziad A. Memish and Tariq A. Madani. Their work appears in journals such as Journal of Infection and Public Health, Saudi Journal of Biological Sciences, International Journal of Infectious Diseases, Scientific Reports 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.