Aliasgar Esmail
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 32
- HIV/AIDS Research and Interventions 8
- Epidemiology top 5%
- Pneumocystis jirovecii pneumonia detection and treatment 12
- Pneumonia and Respiratory Infections 9
- Mycobacterium research and diagnosis 8
- Surgery top 10%
- Infectious Diseases and Tuberculosis 12
- Diagnosis and treatment of tuberculosis 8
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- COVID-19 diagnosis using AI 5
- Co-authors
- Keertan DhedaJason LimberisGreg CalligaroRichard MeldauGrant TheronRobin M. WarrenLucas SmithSuzette Oelofse
- Journals
- International Journal of Infectious Diseases (7 papers)Open Forum Infectious Diseases (4 papers)Clinical Infectious Diseases (3 papers)
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Aliasgar Esmail
52 papers receiving 940 citations
Peers
Comparison fields: 5 of 109
- Infectious Diseases 745
- Epidemiology 532
- Health Informatics 10
- Surgery 297
- Virology 25
Countries citing papers authored by Aliasgar Esmail
This map shows the geographic impact of Aliasgar Esmail'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 Aliasgar Esmail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliasgar Esmail more than expected).
Fields of papers citing papers by Aliasgar Esmail
This network shows the impact of papers produced by Aliasgar Esmail. 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 Aliasgar Esmail. The network helps show where Aliasgar Esmail may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aliasgar Esmail, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 4 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 47 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 30 | |
| 17 | 2019 | 27 | |
| 18 | 2018 | 27 | |
| 19 | 2017 | 20 | |
| 20 | 2015 | 40 |
About Aliasgar Esmail
Aliasgar Esmail is a scholar working on Infectious Diseases, Epidemiology, Virology, Applied Microbiology and Biotechnology and Surgery, having authored 57 papers that have together received 955 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (32 papers), Pneumocystis jirovecii pneumonia detection and treatment (12 papers), Infectious Diseases and Tuberculosis (12 papers), Pneumonia and Respiratory Infections (9 papers), Mycobacterium research and diagnosis (8 papers), Diagnosis and treatment of tuberculosis (8 papers), HIV/AIDS Research and Interventions (8 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Infectious Diseases (745 citations), Epidemiology (532 citations), Health Informatics (10 citations), Surgery (297 citations) and Virology (25 citations). Aliasgar Esmail has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Keertan Dheda, Jason Limberis, Greg Calligaro, Richard Meldau, Grant Theron, Robin M. Warren, Lucas Smith, Suzette Oelofse, Rouxjeane Venter and Edson Makambwa. Their work appears in journals such as International Journal of Infectious Diseases, Open Forum Infectious Diseases, Clinical Infectious Diseases, Journal of Clinical Microbiology and The International Journal of Tuberculosis and Lung Disease.
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.