Anil Pooran
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 27
- Epidemiology top 5%
- Mycobacterium research and diagnosis 12
- Pneumonia and Respiratory Infections 8
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Surgery top 10%
- Infectious Diseases and Tuberculosis 8
- Diagnosis and treatment of tuberculosis 5
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- Pleural and Pulmonary Diseases 3
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- COVID-19 diagnosis using AI 3
- Co-authors
- Keertan DhedaGrant TheronMalika DavidsRobin M. WarrenJonny PeterMotasim BadriRichard MeldauPaul D. van Helden
- Journals
- American Journal of Respiratory and Critical Care Medicine (4 papers)International Journal of Infectious Diseases (2 papers)European Respiratory Journal (2 papers)
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Anil Pooran
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 828
- Epidemiology 612
- Surgery 321
- Immunology 127
- Molecular Medicine 29
Countries citing papers authored by Anil Pooran
This map shows the geographic impact of Anil Pooran'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 Anil Pooran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Pooran more than expected).
Fields of papers citing papers by Anil Pooran
This network shows the impact of papers produced by Anil Pooran. 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 Anil Pooran. The network helps show where Anil Pooran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anil Pooran, 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 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 0 | |
| 9 | 2019 | 30 | |
| 10 | 2019 | 27 | |
| 11 | 2018 | 23 | |
| 12 | 2018 | 106 | |
| 13 | 2017 | 13 | |
| 14 | 2015 | 55 | |
| 15 | 2015 | 40 | |
| 16 | 2013 | 19 | |
| 17 | 2013 | 44 | |
| 18 | 2013 | 147 | |
| 19 | 2011 | 52 | |
| 20 | 2010 | 71 |
About Anil Pooran
Anil Pooran is a scholar working on Infectious Diseases, Epidemiology, Applied Microbiology and Biotechnology, Surgery and Toxicology, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (27 papers), Mycobacterium research and diagnosis (12 papers), Pneumonia and Respiratory Infections (8 papers), Infectious Diseases and Tuberculosis (8 papers), Diagnosis and treatment of tuberculosis (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Pleural and Pulmonary Diseases (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Infectious Diseases (828 citations), Epidemiology (612 citations), Surgery (321 citations), Immunology (127 citations) and Molecular Medicine (29 citations). Anil Pooran has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Keertan Dheda, Grant Theron, Malika Davids, Robin M. Warren, Jonny Peter, Motasim Badri, Richard Meldau, Paul D. van Helden, Maia Lesosky and Frederick A. Sirgel. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, International Journal of Infectious Diseases, European Respiratory Journal, The Lancet Respiratory Medicine and Journal of Clinical Microbiology.
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.