Anil Pooran

8.1k total citations
37 papers, 1.0k citations indexed

About

Anil Pooran is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Anil Pooran has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Infectious Diseases, 21 papers in Epidemiology and 13 papers in Surgery. Recurrent topics in Anil Pooran's work include Tuberculosis Research and Epidemiology (27 papers), Mycobacterium research and diagnosis (12 papers) and Pneumonia and Respiratory Infections (8 papers). Anil Pooran is often cited by papers focused on Tuberculosis Research and Epidemiology (27 papers), Mycobacterium research and diagnosis (12 papers) and Pneumonia and Respiratory Infections (8 papers). Anil Pooran collaborates with scholars based in South Africa, United Kingdom and United States. Anil Pooran's 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 and has published in prestigious journals such as The Lancet, Nature Medicine and PLoS ONE.

In The Last Decade

Anil Pooran

33 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anil Pooran South Africa 17 828 612 321 127 62 37 1.0k
Marina Tadolini Italy 19 1.1k 1.3× 689 1.1× 428 1.3× 82 0.6× 92 1.5× 57 1.4k
Carlos M. Pérez‐Vélez United States 14 899 1.1× 631 1.0× 447 1.4× 86 0.7× 65 1.0× 30 1.1k
Aliasgar Esmail South Africa 18 745 0.9× 532 0.9× 297 0.9× 65 0.5× 78 1.3× 57 955
M S Jawahar India 23 755 0.9× 574 0.9× 317 1.0× 295 2.3× 104 1.7× 39 1.2k
Soyeon Kim United States 15 966 1.2× 645 1.1× 199 0.6× 75 0.6× 144 2.3× 40 1.2k
Barbara Seaworth United States 19 578 0.7× 590 1.0× 285 0.9× 50 0.4× 66 1.1× 35 914
Liesl Page‐Shipp South Africa 14 689 0.8× 552 0.9× 218 0.7× 38 0.3× 79 1.3× 27 853
Jae Seuk Park South Korea 16 628 0.8× 503 0.8× 269 0.8× 59 0.5× 160 2.6× 59 896
Alena Skrahina Denmark 20 1.1k 1.3× 840 1.4× 400 1.2× 88 0.7× 229 3.7× 57 1.3k
Gopalan Narendran India 20 849 1.0× 696 1.1× 458 1.4× 166 1.3× 88 1.4× 49 1.2k

Countries citing papers authored by Anil Pooran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Anil Pooran

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Pooran. A scholar is included among the top collaborators of Anil Pooran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anil Pooran. Anil Pooran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Esmail, Aliasgar, Suzette Oelofse, Brandon Reyneke, et al.. (2025). VIDAS® TB-IGRA assay for diagnosing tuberculosis infection in people living with HIV: A preliminary study. International Journal of Infectious Diseases. 158. 107955–107955.
2.
Scott, Alex, Mohammed Limbada, Tahlia Perumal, et al.. (2024). Integrating molecular and radiological screening tools during community-based active case-finding for tuberculosis and COVID-19 in southern Africa. International Journal of Infectious Diseases. 145. 107081–107081. 2 indexed citations
3.
Esmail, Aliasgar, Alex Scott, Lindsay Wilson, et al.. (2024). Diagnostic Performance of Unstimulated IFN-γ (IRISA-TB) for Pleural Tuberculosis: A Prospective Study in South Africa and India. Open Forum Infectious Diseases. 11(10). ofae533–ofae533.
4.
Randall, Philippa, Aliasgar Esmail, Lindsay Wilson, et al.. (2024). GeneXpert MTB/RIF Ultra vs Unstimulated Interferon γ (IRISA-TB) for the Diagnosis of Tuberculous Pericarditis in a Tuberculosis-Endemic Setting. Open Forum Infectious Diseases. 11(3). ofae021–ofae021. 1 indexed citations
5.
Dheda, Keertan, Chad M. Centner, Lindsay A. Wilson, et al.. (2023). Intensive Care Unit Sluice Room Sinks as Reservoirs and Sources of Potential Transmission of Carbapenem-Resistant Bacteria in a South African Tertiary Care Hospital. Infection and Drug Resistance. Volume 16. 5427–5432. 2 indexed citations
6.
Dheda, Keertan, Shameem Z. Jaumdally, Mogamat Razeen Davids, et al.. (2020). Diagnosis of COVID-19: Considerations, controversies and challenges. PubMed. 26(2). 36–36. 4 indexed citations
9.
Davids, Malika, Anil Pooran, Clemens Hermann, et al.. (2019). A Human Lung Challenge Model to Evaluate the Safety and Immunogenicity of PPD and Live Bacillus Calmette-Guérin. American Journal of Respiratory and Critical Care Medicine. 201(10). 1277–1291. 30 indexed citations
10.
Pooran, Anil, et al.. (2019). IL-4 subverts mycobacterial containment inMycobacterium tuberculosis-infected human macrophages. European Respiratory Journal. 54(2). 1802242–1802242. 27 indexed citations
11.
Davids, Malika, Anil Pooran, Elize Pietersen, et al.. (2018). Regulatory T Cells Subvert Mycobacterial Containment in Patients Failing Extensively Drug-Resistant Tuberculosis Treatment. American Journal of Respiratory and Critical Care Medicine. 198(1). 104–116. 23 indexed citations
12.
Dheda, Keertan, Laura Lenders, Gesham Magombedze, et al.. (2018). Drug-Penetration Gradients Associated with Acquired Drug Resistance in Patients with Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 198(9). 1208–1219. 106 indexed citations
13.
Gina, Phindile, Philippa Randall, Anil Pooran, et al.. (2017). Early morning urine collection to improve urinary lateral flow LAM assay sensitivity in hospitalised patients with HIV-TB co-infection. BMC Infectious Diseases. 17(1). 339–339. 13 indexed citations
14.
Theron, Grant, Jonny Peter, Lynn S. Zijenah, et al.. (2015). Psychological distress and its relationship with non-adherence to TB treatment: a multicentre study. BMC Infectious Diseases. 15(1). 253–253. 55 indexed citations
16.
Nolan, Anna, Maryann L. Huie, Rany Condos, et al.. (2013). Increased Production of IL-4 and IL-12p40 from Bronchoalveolar Lavage Cells Are Biomarkers of Mycobacterium tuberculosis in the Sputum. PLoS ONE. 8(3). e59461–e59461. 19 indexed citations
18.
Pooran, Anil, et al.. (2013). What is the Cost of Diagnosis and Management of Drug Resistant Tuberculosis in South Africa?. PLoS ONE. 8(1). e54587–e54587. 147 indexed citations
19.
Theron, Grant, Anil Pooran, Jonny Peter, et al.. (2011). Do adjunct tuberculosis tests, when combined with Xpert MTB/RIF, improve accuracy and the cost of diagnosis in a resource-poor setting?. European Respiratory Journal. 40(1). 161–168. 52 indexed citations
20.
Pooran, Anil, Helen Booth, Robert F. Miller, et al.. (2010). Different screening strategies (single or dual) for the diagnosis of suspected latent tuberculosis: a cost effectiveness analysis. BMC Pulmonary Medicine. 10(1). 7–7. 71 indexed citations

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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