Brendan Prideaux

4.0k total citations
46 papers, 2.6k citations indexed

About

Brendan Prideaux is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Brendan Prideaux has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 17 papers in Molecular Biology and 15 papers in Epidemiology. Recurrent topics in Brendan Prideaux's work include Tuberculosis Research and Epidemiology (16 papers), Mass Spectrometry Techniques and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Brendan Prideaux is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Mass Spectrometry Techniques and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Brendan Prideaux collaborates with scholars based in United States, Switzerland and France. Brendan Prideaux's co-authors include Markus Stoeckli, Véronique Dartois, Matthew Zimmerman, Laura E. Via, Clifton E. Barry, Eliseo A. Eugenín, Pei‐Yu Chen, Alain Schweitzer, Eric Solon and Landry Blanc and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Nature Communications.

In The Last Decade

Brendan Prideaux

42 papers receiving 2.6k citations

Peers

Brendan Prideaux
Dominique J. Wiener United States
Matthew Zimmerman United States
Erin H. Seeley United States
Steven K. Drake United States
Landry Blanc United States
Wuxian Shi United States
Steffen Lindert United States
Anne J. Lenaerts United States
Dominique J. Wiener United States
Brendan Prideaux
Citations per year, relative to Brendan Prideaux Brendan Prideaux (= 1×) peers Dominique J. Wiener

Countries citing papers authored by Brendan Prideaux

Since Specialization
Citations

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

Fields of papers citing papers by Brendan Prideaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brendan Prideaux

This figure shows the co-authorship network connecting the top 25 collaborators of Brendan Prideaux. A scholar is included among the top collaborators of Brendan Prideaux 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 Brendan Prideaux. Brendan Prideaux 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.
Guerrini, Valentina, Brendan Prideaux, Rehan Khan, et al.. (2025). Cryptococcosis, tuberculosis, and a kidney cancer fail to fit the atherosclerosis paradigm for foam cell lipid content. The Journal of Immunology. 214(6). 1358–1369.
2.
Valdebenito, Silvana, et al.. (2024). Correlative Imaging to Detect Rare HIV Reservoirs and Associated Damage in Tissues. Methods in molecular biology. 2807. 93–110.
4.
Malik, Shaily, Silvana Valdebenito, Daniela D’Amico, Brendan Prideaux, & Eliseo A. Eugenín. (2021). HIV infection of astrocytes compromises inter-organelle interactions and inositol phosphate metabolism: A potential mechanism of bystander damage and viral reservoir survival. Progress in Neurobiology. 206. 102157–102157. 17 indexed citations
5.
Blanc, Landry, Gino B. Ferraro, Michael Tuck, et al.. (2021). Kendrick Mass Defect Variation to Decipher Isotopic Labeling in Brain Metastases Studied by Mass Spectrometry Imaging. Analytical Chemistry. 93(49). 16314–16319. 5 indexed citations
6.
Valdebenito, Silvana, Simon Bessis, Djillali Annane, et al.. (2021). COVID-19 Lung Pathogenesis in SARS-CoV-2 Autopsy Cases. Frontiers in Immunology. 12. 735922–735922. 40 indexed citations
7.
Valdebenito, Silvana, Shaily Malik, Olivier Loudig, et al.. (2021). Tunneling nanotubes, TNT, communicate glioblastoma with surrounding non-tumor astrocytes to adapt them to hypoxic and metabolic tumor conditions. Scientific Reports. 11(1). 14556–14556. 63 indexed citations
8.
Collins, Jeffrey M., Dean P. Jones, Ashish Sharma, et al.. (2021). TCA cycle remodeling drives proinflammatory signaling in humans with pulmonary tuberculosis. PLoS Pathogens. 17(9). e1009941–e1009941. 28 indexed citations
9.
O’Brien, Kathryn, Divya Tiwari, Curtis A. Engelhart, et al.. (2019). Plasticity of the Mycobacterium tuberculosis respiratory chain and its impact on tuberculosis drug development. Nature Communications. 10(1). 4970–4970. 86 indexed citations
10.
Prideaux, Brendan, Anne J. Lenaerts, & Véronique Dartois. (2018). Imaging and spatially resolved quantification of drug distribution in tissues by mass spectrometry. Current Opinion in Chemical Biology. 44. 93–100. 32 indexed citations
11.
Zimmerman, Matthew, Landry Blanc, Pei‐Yu Chen, Véronique Dartois, & Brendan Prideaux. (2018). Spatial Quantification of Drugs in Pulmonary Tuberculosis Lesions by Laser Capture Microdissection Liquid Chromatography Mass Spectrometry (LCM-LC/MS). Journal of Visualized Experiments. 33 indexed citations
12.
Guerrini, Valentina, Brendan Prideaux, Landry Blanc, et al.. (2018). Storage lipid studies in tuberculosis reveal that foam cell biogenesis is disease-specific. PLoS Pathogens. 14(8). e1007223–e1007223. 71 indexed citations
13.
Blanc, Landry, Isaac Daudelin, Brendan K. Podell, et al.. (2018). High-resolution mapping of fluoroquinolones in TB rabbit lesions reveals specific distribution in immune cell types. eLife. 7. 42 indexed citations
14.
Pienaar, Elsje, Jansy P. Sarathy, Brendan Prideaux, et al.. (2017). Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach. PLoS Computational Biology. 13(8). e1005650–e1005650. 51 indexed citations
15.
Marakalala, Mohlopheni J., Ravikiran M. Raju, Kirti Sharma, et al.. (2016). Inflammatory signaling in human tuberculosis granulomas is spatially organized. Nature Medicine. 22(5). 531–538. 221 indexed citations
16.
Dutta, Noton K., Natalie Bruiners, Michael L. Pinn, et al.. (2016). Statin adjunctive therapy shortens the duration of TB treatment in mice. Journal of Antimicrobial Chemotherapy. 71(6). 1570–1577. 79 indexed citations
17.
Prideaux, Brendan, Laura E. Via, Matthew Zimmerman, et al.. (2015). The association between sterilizing activity and drug distribution into tuberculosis lesions. Nature Medicine. 21(10). 1223–1227. 337 indexed citations
18.
Prideaux, Brendan, Mariam ElNaggar, Matthew Zimmerman, et al.. (2014). Mass spectrometry imaging of levofloxacin distribution in TB-infected pulmonary lesions by MALDI-MSI and continuous liquid microjunction surface sampling. International Journal of Mass Spectrometry. 377. 699–708. 56 indexed citations
19.
Prideaux, Brendan & Markus Stoeckli. (2012). Mass spectrometry imaging for drug distribution studies. Journal of Proteomics. 75(16). 4999–5013. 231 indexed citations
20.
Solon, Eric, Alain Schweitzer, Markus Stoeckli, & Brendan Prideaux. (2009). Autoradiography, MALDI-MS, and SIMS-MS Imaging in Pharmaceutical Discovery and Development. The AAPS Journal. 12(1). 11–26. 190 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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