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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Therapeutic capability of selected medicinal plants' bioactive constituents against the mutant ovarian TP53 gene; a computational approach

2023Advances in Biomarker Sciences and TechnologyJournalOpen access

10.1016/j.abst.2023.02.001 Full text3 citations

Authors

11 authors across 10 institutions in 2 countries.

Kayode Yomi RaheemFirst author
- Adekunle Ajasin University (NG)
Fawehinmi Praise Ibukunoluwa
- University of Ilorin (NG)
Solomon Ayodele Olorundare
- University of Lagos (NG)
Jairus Olumasai NandwaCorresponding
- Technical University of Mombasa (KE)
Modinat Aina Abayomi
- Ladoke Akintola University of Technology (NG)
- Nigerian Institute of Medical Research (NG)
Egbe Justine Uchechukwu
- Nigerian Institute of Medical Research (NG)
Mary Adewunmi

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Cancer-related Molecular Pathwayslevel 3 · 1.00
Cancer Mechanisms and Therapylevel 3 · 0.99
Computational Drug Discovery Methodslevel 3 · 0.98

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2023 · Advances in Biomarker Sciences and Technology · 3 citations
https://openalex.org/W4322766774

National Center for Technology Management (NG)

Kuyet Zichat Blessing

Kaduna State University (NG)

Modupe Mercy Anthony

Federal University of Technology (NG)

Mary Ikeoluwa Gbadebo

Ladoke Akintola University of Technology (NG)

Falana Taiwo DanielSenior author

Lagos State University (NG)

Therapeutic capability of selected medicinal plants' bioactive constituents against the mutant ovarian TP53 gene; a computational approach · Sankore