Debra ten Brink

630 total citations
8 papers, 325 citations indexed

About

Debra ten Brink is a scholar working on Infectious Diseases, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Debra ten Brink has authored 8 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in General Health Professions and 3 papers in Economics and Econometrics. Recurrent topics in Debra ten Brink's work include HIV/AIDS Research and Interventions (4 papers), HIV/AIDS Impact and Responses (3 papers) and Global Maternal and Child Health (2 papers). Debra ten Brink is often cited by papers focused on HIV/AIDS Research and Interventions (4 papers), HIV/AIDS Impact and Responses (3 papers) and Global Maternal and Child Health (2 papers). Debra ten Brink collaborates with scholars based in Australia, United States and United Kingdom. Debra ten Brink's co-authors include Rowan Martin‐Hughes, Yu Teng, John Stover, Robert Glaubius, Sherrie L. Kelly, Isaac Taramusi, Loveleen Bansi‐Matharu, Séverin Guy Mahiane, Britta L. Jewell and Andrew Phillips and has published in prestigious journals such as BMC Public Health, JAIDS Journal of Acquired Immune Deficiency Syndromes and The Lancet Global Health.

In The Last Decade

Debra ten Brink

7 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debra ten Brink Australia	4	230	108	72	54	53	8	325
Isaac Taramusi Zimbabwe	5	231 1.0×	100 0.9×	75 1.0×	57 1.1×	62 1.2×	9	336
Edinah Mudimu South Africa	8	290 1.3×	132 1.2×	87 1.2×	69 1.3×	61 1.2×	23	411
Newton Chagoma United Kingdom	4	230 1.0×	100 0.9×	61 0.8×	48 0.9×	53 1.0×	6	327
Rowan Martin‐Hughes Australia	8	300 1.3×	139 1.3×	93 1.3×	76 1.4×	58 1.1×	22	464
Yu Teng United States	7	296 1.3×	154 1.4×	94 1.3×	76 1.4×	55 1.0×	14	434
Thokozani Khubone South Africa	6	201 0.9×	86 0.8×	72 1.0×	44 0.8×	50 0.9×	10	296
Yukteshwar Sookrajh South Africa	7	266 1.2×	114 1.1×	90 1.3×	52 1.0×	49 0.9×	23	347
Kelly Gate South Africa	5	169 0.7×	76 0.7×	67 0.9×	42 0.8×	47 0.9×	6	242
Patricia Ndumbi Canada	7	130 0.6×	43 0.4×	44 0.6×	47 0.9×	49 0.9×	8	341
Sérgio Chicumbe Mozambique	11	159 0.7×	74 0.7×	100 1.4×	50 0.9×	22 0.4×	50	375

Countries citing papers authored by Debra ten Brink

Since Specialization

Citations

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

Fields of papers citing papers by Debra ten Brink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra ten Brink. 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 Debra ten Brink. The network helps show where Debra ten Brink may publish in the future.

Co-authorship network of co-authors of Debra ten Brink

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

All Works

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8 of 8 papers shown

Bowring, Anna L., et al.. (2024). Evaluation of the use of modelling in resource allocation decisions for HIV and TB. BMJ Global Health. 9(1). e012418–e012418.

Korenromp, Eline L., Keith Sabin, John Stover, et al.. (2024). New HIV Infections Among Key Populations and Their Partners in 2010 and 2022, by World Region: A Multisources Estimation. JAIDS Journal of Acquired Immune Deficiency Syndromes. 95(1S). e34–e45. 32 indexed citations

Phillips, Andrew, Debra ten Brink, Edinah Mudimu, et al.. (2023). A quantitative assessment of the consistency of projections from five mathematical models of the HIV epidemic in South Africa: a model comparison study. BMC Public Health. 23(1). 2119–2119. 2 indexed citations

Kelly, Sherrie L., Dominic Delport, Debra ten Brink, et al.. (2023). Health and economic benefits of achieving contraceptive and maternal health targets in Small Island Developing States in the Pacific and Caribbean. BMJ Global Health. 8(2). e010018–e010018. 4 indexed citations

Bershteyn, Anna, Lise Jamieson, Hae‐Young Kim, et al.. (2022). Transmission reduction, health benefits, and upper-bound costs of interventions to improve retention on antiretroviral therapy: a combined analysis of three mathematical models. The Lancet Global Health. 10(9). e1298–e1306. 8 indexed citations

Kelly, Sherrie L., Dominic Delport, Debra ten Brink, et al.. (2021). Health and Economic Benefits of Achieving Contraceptive and Maternal Health Targets in Small Island Developing States in the Pacific and Caribbean. SSRN Electronic Journal. 1 indexed citations

Jewell, Britta L., Edinah Mudimu, John Stover, et al.. (2020). Potential effects of disruption to HIV programmes in sub-Saharan Africa caused by COVID-19: results from multiple mathematical models. The Lancet HIV. 7(9). e629–e640. 277 indexed citations

Brink, Debra ten, Mohamed Gad, & Francis Ruiz. (2018). Malaria innovations: pursuing value in an evolving market. The Lancet Global Health. 6(2). e138–e139. 1 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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