Scott Hazelhurst

6.0k total citations
78 papers, 1.4k citations indexed

About

Scott Hazelhurst is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Scott Hazelhurst has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 22 papers in Genetics and 16 papers in Artificial Intelligence. Recurrent topics in Scott Hazelhurst's work include Genetic Associations and Epidemiology (17 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Genomics and Phylogenetic Studies (9 papers). Scott Hazelhurst is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Genomics and Phylogenetic Studies (9 papers). Scott Hazelhurst collaborates with scholars based in South Africa, United States and United Kingdom. Scott Hazelhurst's co-authors include Michèle Ramsay, Francisco C. Ceballos, Jorge da Rocha, Liron Pantanowitz, Pamela Michelow, Rajiv Dhir, Ananyo Choudhury, Zané Lombard, Jean‐Tristan Brandenburg and Varda Shalev and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Scott Hazelhurst

74 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Hazelhurst South Africa 21 356 319 309 203 148 78 1.4k
David Jackson United Kingdom 23 599 1.7× 114 0.4× 62 0.2× 79 0.4× 62 0.4× 89 1.9k
Sissades Tongsima Thailand 22 875 2.5× 370 1.2× 71 0.2× 39 0.2× 115 0.8× 175 1.8k
Edward Suh United States 18 649 1.8× 148 0.5× 299 1.0× 87 0.4× 30 0.2× 29 1.6k
H. Svensson Sweden 29 351 1.0× 185 0.6× 102 0.3× 732 3.6× 23 0.2× 120 3.1k
Dominik Heider Germany 30 1.3k 3.7× 131 0.4× 425 1.4× 127 0.6× 246 1.7× 140 2.9k
Subrata Ghosh India 22 561 1.6× 867 2.7× 135 0.4× 60 0.3× 81 0.5× 114 2.3k
Ivan Merelli Italy 22 1.3k 3.5× 407 1.3× 93 0.3× 33 0.2× 100 0.7× 144 2.0k
James Heather United Kingdom 19 766 2.2× 173 0.5× 294 1.0× 100 0.5× 87 0.6× 57 1.9k
Kun‐Mao Chao Taiwan 23 741 2.1× 200 0.6× 444 1.4× 20 0.1× 151 1.0× 85 1.6k
David Page United States 23 514 1.4× 208 0.7× 766 2.5× 95 0.5× 18 0.1× 90 1.8k

Countries citing papers authored by Scott Hazelhurst

Since Specialization
Citations

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

Fields of papers citing papers by Scott Hazelhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Hazelhurst

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Hazelhurst. A scholar is included among the top collaborators of Scott Hazelhurst 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 Scott Hazelhurst. Scott Hazelhurst 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.
Othman, Houcemeddine, et al.. (2025). Characterization of NAT, GST, and CYP2E1 Genetic Variation in Sub‐Saharan African Populations: Implications for Treatment of Tuberculosis and Other Diseases. Clinical Pharmacology & Therapeutics. 117(5). 1338–1357. 1 indexed citations
2.
Kapwata, Thandi, Chiara Batini, Yutong Cai, et al.. (2025). Household PM2.5 in a South African urban and rural setting: A comparative analysis using low-cost sensors. Atmospheric Pollution Research. 16(5). 102459–102459.
3.
Soremekun, Opeyemi, Abram Bunya Kamiza, Palwendé Romuald Boua, et al.. (2025). Development and Validation of Polygenic Risk Scores for Blood Pressure Traits in Continental African Populations. Circulation Genomic and Precision Medicine. 18(3). e005048–e005048.
4.
Wright, Caradee Y., R. D. Diab, Simon Kunene, et al.. (2024). Assessing the human health risks of indoor PM2.5 exposure in urban and rural households in two provinces of South Africa. Atmospheric Environment. 343. 120996–120996.
5.
Metcalf, Benjamin J., Scott Hazelhurst, Linda de Gouveia, et al.. (2024). Molecular Epidemiology of Invasive Group B Streptococcus in South Africa, 2019–2020. The Journal of Infectious Diseases. 231(4). e697–e707. 2 indexed citations
6.
Choudhury, Ananyo, Scott Hazelhurst, Nigel J. Crowther, et al.. (2023). Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study. Nature Communications. 14(1). 8376–8376. 12 indexed citations
7.
Kisiangani, Isaac, Girmaw Abebe Tadesse, Samuel Iddi, et al.. (2023). Multimorbidity in African ancestry populations: a scoping review. BMJ Global Health. 8(12). e013509–e013509. 4 indexed citations
8.
Drögemöller, Britt I., Galen E.B. Wright, Clement Adebamowo, et al.. (2023). Characterization of CYP2B6 and CYP2A6 Pharmacogenetic Variation in Sub‐Saharan African Populations. Clinical Pharmacology & Therapeutics. 115(3). 576–594. 2 indexed citations
9.
Hazelhurst, Scott, et al.. (2023). Characterization of CYP2C19 Pharmacogenetic Variation in African Populations and Comparison with Other Global Populations. Pharmacogenomics. 24(16). 845–857. 1 indexed citations
10.
Brandenburg, Jean‐Tristan, Lindsay V. Clark, Gerrit Botha, et al.. (2022). H3AGWAS: a portable workflow for genome wide association studies. BMC Bioinformatics. 23(1). 7 indexed citations
11.
Drögemöller, Britt I., Galen E.B. Wright, Clement Adebamowo, et al.. (2022). Characterization of CYP2D6 Pharmacogenetic Variation in Sub‐Saharan African Populations. Clinical Pharmacology & Therapeutics. 113(3). 643–659. 19 indexed citations
12.
Hazelhurst, Scott, et al.. (2022). Characterization of POR Haplotype Distribution in African Populations and Comparison with Other Global Populations. Pharmacogenomics. 23(14). 771–782. 1 indexed citations
13.
Sengupta, Dhriti, Ananyo Choudhury, Cesar Fortes‐Lima, et al.. (2021). Genetic substructure and complex demographic history of South African Bantu speakers. Nature Communications. 12(1). 2080–2080. 47 indexed citations
14.
Rocha, Jorge da, Houcemeddine Othman, Caroline T. Tiemessen, et al.. (2021). G6PD distribution in sub-Saharan Africa and potential risks of using chloroquine/hydroxychloroquine based treatments for COVID-19. The Pharmacogenomics Journal. 21(6). 649–656. 14 indexed citations
15.
Tikly, Mohammed, et al.. (2021). nf-rnaSeqCount: A Nextflow pipeline for obtaining raw read counts from RNA-seq data. SHILAP Revista de lepidopterología. 33(2). 4 indexed citations
16.
Othman, Houcemeddine, Jorge da Rocha, & Scott Hazelhurst. (2021). Single Nucleotide Polymorphism Induces Divergent Dynamic Patterns in CYP3A5: A Microsecond Scale Biomolecular Simulation of Variants Identified in Sub-Saharan African Populations. International Journal of Molecular Sciences. 22(15). 7786–7786. 1 indexed citations
17.
Ceballos, Francisco C., Scott Hazelhurst, David W. Clark, et al.. (2020). Autozygosity influences cardiometabolic disease-associated traits in the AWI-Gen sub-Saharan African study. Nature Communications. 11(1). 5754–5754. 9 indexed citations
18.
Ramsay, Michèle, et al.. (2020). nf-rnaSeqMetagen: A nextflow metagenomics pipeline for identifying and characterizing microbial sequences from RNA-seq data. SHILAP Revista de lepidopterología. 4. 100011–100011. 1 indexed citations
19.
Wright, Galen E.B., et al.. (2020). A systematic comparison of pharmacogene star allele calling bioinformatics algorithms: a focus on CYP2D6 genotyping. npj Genomic Medicine. 5(1). 30–30. 38 indexed citations
20.
Hazelhurst, Scott. (2010). Truth in advertising : reporting performance of computer programs, algorithms and the impact of architecture and systems environment. South African Computer Journal. 2010(46). 24–37. 3 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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