Danie Theron

549 total citations
10 papers, 94 citations indexed

About

Danie Theron is a scholar working on Infectious Diseases, Epidemiology and Social Psychology. According to data from OpenAlex, Danie Theron has authored 10 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 6 papers in Epidemiology and 3 papers in Social Psychology. Recurrent topics in Danie Theron's work include Tuberculosis Research and Epidemiology (8 papers), Pneumonia and Respiratory Infections (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). Danie Theron is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Pneumonia and Respiratory Infections (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). Danie Theron collaborates with scholars based in South Africa, United States and Australia. Danie Theron's co-authors include Karen R. Jacobson, Robin M. Warren, Emily A. Kendall, Molly F. Franke, Thomas C. Victor, Megan Murray, Paul D. van Helden, Laura F. White, Bronwyn Myers and Elizabeth J. Ragan and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and BMC Public Health.

In The Last Decade

Danie Theron

7 papers receiving 93 citations

Peers

Danie Theron
Yen Jun Wong Malaysia
Ana Ciobanu Denmark
Grace Huynh United States
Annabel Baddeley Switzerland
Sarah Bradford United States
Phumeza Tisile United States
Danie Theron
Citations per year, relative to Danie Theron Danie Theron (= 1×) peers Rajesh Solanki

Countries citing papers authored by Danie Theron

Since Specialization
Citations

This map shows the geographic impact of Danie Theron'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 Danie Theron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danie Theron more than expected).

Fields of papers citing papers by Danie Theron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danie Theron. 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 Danie Theron. The network helps show where Danie Theron may publish in the future.

Co-authorship network of co-authors of Danie Theron

This figure shows the co-authorship network connecting the top 25 collaborators of Danie Theron. A scholar is included among the top collaborators of Danie Theron 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 Danie Theron. Danie Theron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Carney, Tara, Christina S. Meade, Jennifer Rooney, et al.. (2025). The feasibility of respondent-driven sampling with people who use drugs in rural Western Cape, South Africa: A qualitative study. PLOS Global Public Health. 5(6). e0004065–e0004065.
2.
Carney, Tara, Laura F. White, Danie Theron, et al.. (2025). Patient Determinants and Effects on Adherence of Adverse Drug Reactions to Tuberculosis Treatment: A Prospective Cohort Analysis. Clinical Infectious Diseases. 81(1). 167–175.
3.
Carney, Tara, Bronwyn Myers, Charles Parry, et al.. (2024). Understanding the impact of pandemics on long-term medication adherence: directly observed therapy in a tuberculosis treatment cohort pre- and post-COVID-19 lockdowns. BMC Infectious Diseases. 24(1). 1154–1154. 4 indexed citations
4.
Weber, Sarah, Bronwyn Myers, Mari‐Lynn Drainoni, et al.. (2024). Patient and provider perceptions of the relationship between alcohol use and TB and readiness for treatment: a qualitative study in South Africa. BMC Public Health. 24(1). 2216–2216. 2 indexed citations
5.
Carney, Tara, Jennifer Rooney, Bronwyn Myers, et al.. (2022). Transmission Of Tuberculosis Among illicit drug use Linkages (TOTAL): A cross-sectional observational study protocol using respondent driven sampling. PLoS ONE. 17(2). e0262440–e0262440. 5 indexed citations
6.
Weir, Isabelle R., Sarah Weber, Tara C. Bouton, et al.. (2022). Methods for handling missing data in serially sampled sputum specimens for mycobacterial culture conversion calculation. BMC Medical Research Methodology. 22(1). 297–297. 1 indexed citations
7.
Bouton, Tara C., Margaretha de Vos, Elizabeth J. Ragan, et al.. (2019). Switching to bedaquiline for treatment of rifampicin-resistant tuberculosis in South Africa: A retrospective cohort analysis. PLoS ONE. 14(10). e0223308–e0223308. 3 indexed citations
8.
Myers, Bronwyn, Tara C. Bouton, Elizabeth J. Ragan, et al.. (2018). Impact of alcohol consumption on tuberculosis treatment outcomes: a prospective longitudinal cohort study protocol. BMC Infectious Diseases. 18(1). 488–488. 32 indexed citations
9.
Theron, Danie, et al.. (2015). Determination of Kanamycin Plasma Levels Using LC-MS and Its Pharmacokinetics in Patients with Multidrug- Resistant Tuberculosis with and without HIV-Infection. UWC Research Repository (University of the Western Cape).
10.
Kendall, Emily A., Danie Theron, Molly F. Franke, et al.. (2013). Alcohol, Hospital Discharge, and Socioeconomic Risk Factors for Default from Multidrug Resistant Tuberculosis Treatment in Rural South Africa: A Retrospective Cohort Study. PLoS ONE. 8(12). e83480–e83480. 47 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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