Aurelia A. Williams

659 total citations
18 papers, 435 citations indexed

About

Aurelia A. Williams is a scholar working on Virology, Infectious Diseases and Emergency Medicine. According to data from OpenAlex, Aurelia A. Williams has authored 18 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Virology, 6 papers in Infectious Diseases and 6 papers in Emergency Medicine. Recurrent topics in Aurelia A. Williams's work include HIV Research and Treatment (7 papers), HIV-related health complications and treatments (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Aurelia A. Williams is often cited by papers focused on HIV Research and Treatment (7 papers), HIV-related health complications and treatments (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Aurelia A. Williams collaborates with scholars based in South Africa, Netherlands and United States. Aurelia A. Williams's co-authors include Gerald Friedland, Debra Meyer, Lungile Sitole, Carolus J. Reinecke, Laneke Luies, Francois Steffens, Du Toit Loots, Sabrina M. Ronen, Jason C. Crane and Joanna J. Phillips and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Current Pharmaceutical Design.

In The Last Decade

Aurelia A. Williams

15 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurelia A. Williams South Africa 10 222 134 92 86 84 18 435
Christopher J. Lahart United States 10 343 1.5× 275 2.1× 224 2.4× 63 0.7× 52 0.6× 13 627
Juanita Mellet South Africa 9 274 1.2× 27 0.2× 45 0.5× 30 0.3× 96 1.1× 22 443
Salvatore Rocca Italy 9 201 0.9× 200 1.5× 151 1.6× 136 1.6× 78 0.9× 10 501
Nhut Le United States 16 289 1.3× 351 2.6× 110 1.2× 34 0.4× 107 1.3× 24 588
Patrick Schmid Switzerland 14 231 1.0× 90 0.7× 358 3.9× 66 0.8× 21 0.3× 38 710
Jingna Xun China 13 484 2.2× 71 0.5× 108 1.2× 35 0.4× 168 2.0× 33 738
Kathleen E. Singer United States 11 98 0.4× 54 0.4× 127 1.4× 35 0.4× 83 1.0× 28 448
Jeffrey S. Murray United States 13 355 1.6× 218 1.6× 322 3.5× 61 0.7× 72 0.9× 31 729
Danielle Murray United States 12 420 1.9× 559 4.2× 113 1.2× 55 0.6× 191 2.3× 18 843
Maha Al-Mozaini Saudi Arabia 12 208 0.9× 63 0.5× 73 0.8× 11 0.1× 84 1.0× 32 536

Countries citing papers authored by Aurelia A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Aurelia A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurelia A. Williams. 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 Aurelia A. Williams. The network helps show where Aurelia A. Williams may publish in the future.

Co-authorship network of co-authors of Aurelia A. Williams

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

All Works

18 of 18 papers shown
1.
Williams, Monray Edward, Du Toit Loots, Aurelia A. Williams, et al.. (2025). Potential biomarkers for tuberculous meningitis diagnosis using metabolomics and proteomics: a systematic review. BMC Infectious Diseases. 25(1). 1298–1298.
2.
Luies, Laneke, Du Toit Loots, Aurelia A. Williams, et al.. (2024). Protocol for unified metabolomics and proteomics analysis of formalin-fixed paraffin-embedded tissue. STAR Protocols. 5(4). 103442–103442.
3.
Williams, Aurelia A., et al.. (2024). Metabolites and Lipoproteins May Predict the Severity of Early Acute Pancreatitis in a South African Cohort. Biomedicines. 12(11). 2431–2431.
4.
Williams, Aurelia A., et al.. (2024). Transactivator of Transcription (Tat)-Induced Neuroinflammation as a Key Pathway in Neuronal Dysfunction: A Scoping Review. Molecular Neurobiology. 61(11). 9320–9346. 6 indexed citations
5.
Luies, Laneke, et al.. (2023). The metabolic consequences of HIV/TB co-infection. BMC Infectious Diseases. 23(1). 536–536. 15 indexed citations
6.
Williams, Monray Edward, Aurelia A. Williams, & Petrus J.W. Naudé. (2023). Viral protein R (Vpr)-induced neuroinflammation and its potential contribution to neuronal dysfunction: a scoping review. BMC Infectious Diseases. 23(1). 512–512. 4 indexed citations
7.
Williams, Aurelia A., et al.. (2022). Tuberculous Granuloma: Emerging Insights From Proteomics and Metabolomics. Frontiers in Neurology. 13. 21 indexed citations
8.
Luies, Laneke, et al.. (2021). Metabolomics as a Tool to Investigate HIV/TB Co-Infection. Frontiers in Molecular Biosciences. 8. 692823–692823. 20 indexed citations
9.
Williams, Aurelia A., et al.. (2020). Metabolomics as an Approach to Characterise the Contrasting Roles of CCR5 in the Presence and Absence of Disease. International Journal of Molecular Sciences. 21(4). 1472–1472. 9 indexed citations
10.
Luks, Tracy, Tracy R. McKnight, Llewellyn E. Jalbert, et al.. (2018). Relationship of In Vivo MR Parameters to Histopathological and Molecular Characteristics of Newly Diagnosed, Nonenhancing Lower-Grade Gliomas. Translational Oncology. 11(4). 941–949. 4 indexed citations
11.
Williams, Aurelia A., Lungile Sitole, & Debra Meyer. (2017). HIV/HAART-associated oxidative stress is detectable by metabonomics. Molecular BioSystems. 13(11). 2202–2217. 32 indexed citations
12.
Jalbert, Llewellyn E., Adam Elkhaled, Joanna J. Phillips, et al.. (2017). Metabolic Profiling of IDH Mutation and Malignant Progression in Infiltrating Glioma. Scientific Reports. 7(1). 44792–44792. 60 indexed citations
13.
Williams, Aurelia A., et al.. (2014). UPLC-MS Metabonomics Reveals Perturbed Metabolites in HIV-Infected Sera. UpSpace Institutional Repository (University of Pretoria). 2(1). 37–52. 3 indexed citations
14.
Sitole, Lungile, Aurelia A. Williams, & Debra Meyer. (2012). Metabonomic analysis of HIV-infected biofluids. Molecular BioSystems. 9(1). 18–28. 32 indexed citations
15.
Williams, Aurelia A., Francois Steffens, Carolus J. Reinecke, & Debra Meyer. (2012). The Th1/Th2/Th17 cytokine profile of HIV-infected individuals: A multivariate cytokinomics approach. Cytokine. 61(2). 521–526. 27 indexed citations
16.
Williams, Aurelia A., et al.. (2011). Qualitative serum organic acid profiles of HIV-infected individuals not on antiretroviral treatment. Metabolomics. 8(5). 804–818. 14 indexed citations
17.
Williams, Aurelia A. & Debra Meyer. (2009). Desferrioxamine as Immunomodulatory Agent During Microorganism Infection. Current Pharmaceutical Design. 15(11). 1261–1268. 21 indexed citations
18.
Friedland, Gerald & Aurelia A. Williams. (1999). Attaining higher goals in HIV treatment: the central importance of adherence.. PubMed. 13 Suppl 1. S61–72. 167 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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