A multidatabase bibliometric analysis of phytochemical metabolomics research in Africa and its implications for equitable drug discovery

The rich biodiversity heritage in Africa positions it as a pivotal hub for phytochemical-based metabolomics research. This study maps the trajectory of this field through a systematic bibliometric analysis, triangulating datasets from Scopus, Web of Science, and Dimensions® (1970–2025) databases to ensure comprehensive coverage. By utilising machine-learning-aided curation, we refined the final dataset (n = 8,244) via Biblioshiny (R software) and Python-based metrics to identify the contributions aligned to eligible criteria. Using the corresponding-author country (leadership) attribution, the findings revealed a landscape of sustained scholarly growth, heavily concentrated within South Africa, Nigeria, and Cameroon. Collaboration dynamics remain uneven; while intercontinental partnerships drive significant output (43.67%), intra-African research networks are comparatively sparse, highlighting a fragmentation of regional expertise. Thematic evolution analysis uncovered a dichotomy in research focus. The field demonstrates increasing maturity in in vitro antioxidant and antimicrobial models, yet critical niches such as alkaloid characterisation and clinical translation remain underdeveloped. Furthermore, foundational methodological works continue to dominate citation patterns, suggesting a reliance on established protocols over novel experimental designs. Although there is a discernible shift toward molecular docking and computational metabolomics, persistent infrastructural gaps, ranging from database limitations to instrumentation deficits, have delayed the full integration of artificial intelligence into African research workflows. The field thrives as a biodiverse innovation frontier, yet translational inequities persist. Bridging these gaps requires a strategic pivot toward robust pan-African collaboration, the integration of advanced digital tools, and policies that centre Indigenous knowledge, thereby positioning Africa as a leader in equitable global drug discovery.

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Publication Details

Journal
Discover Applied Sciences
Published
2026-07-18
DOI
https://doi.org/10.1007/s42452-026-09084-0
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A multidatabase bibliometric analysis of phytochemical metabolomics research in Africa and its implications for equitable drug discovery

Stephen O. Amoo, Adeyemi Oladapo Aremu, Temitope O. Omogbene, Ibraheem Oduola Lawal et al.
Discover Applied Sciences
Metabolomics and Mass Spectrometry Studies
article

A multidatabase bibliometric analysis of phytochemical metabolomics research in Africa and its implications for equitable drug discovery

Stephen O. Amoo, Adeyemi Oladapo Aremu, Temitope O. Omogbene, Ibraheem Oduola Lawal, Fikisiwe Gebashe
article en

Abstract

The rich biodiversity heritage in Africa positions it as a pivotal hub for phytochemical-based metabolomics research. This study maps the trajectory of this field through a systematic bibliometric analysis, triangulating datasets from Scopus, Web of Science, and Dimensions® (1970–2025) databases to ensure comprehensive coverage. By utilising machine-learning-aided curation, we refined the final dataset (n = 8,244) via Biblioshiny (R software) and Python-based metrics to identify the contributions aligned to eligible criteria. Using the corresponding-author country (leadership) attribution, the findings revealed a landscape of sustained scholarly growth, heavily concentrated within South Africa, Nigeria, and Cameroon. Collaboration dynamics remain uneven; while intercontinental partnerships drive significant output (43.67%), intra-African research networks are comparatively sparse, highlighting a fragmentation of regional expertise. Thematic evolution analysis uncovered a dichotomy in research focus. The field demonstrates increasing maturity in in vitro antioxidant and antimicrobial models, yet critical niches such as alkaloid characterisation and clinical translation remain underdeveloped. Furthermore, foundational methodological works continue to dominate citation patterns, suggesting a reliance on established protocols over novel experimental designs. Although there is a discernible shift toward molecular docking and computational metabolomics, persistent infrastructural gaps, ranging from database limitations to instrumentation deficits, have delayed the full integration of artificial intelligence into African research workflows. The field thrives as a biodiverse innovation frontier, yet translational inequities persist. Bridging these gaps requires a strategic pivot toward robust pan-African collaboration, the integration of advanced digital tools, and policies that centre Indigenous knowledge, thereby positioning Africa as a leader in equitable global drug discovery.

Discover Applied Sciences
North-West University (ZA), Forestry Research Institute of Nigeria (NG), Agricultural Research Council of South Africa (ZA), University of KwaZulu-Natal (ZA)
National Research Foundation
Partnerships for the goals
Openalex Percentile: Top 14%
Metabolomics and Mass Spectrometry Studies
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