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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.

In silico Prediction of Anticancer Mechanisms of Crude Metabolites from Catharanthus roseus Endophytic Fungi using Network Pharmacology and Molecular Docking

2026Tropical Journal of Natural Product ResearchJournalOpen access

10.26538/tjnpr/v10i3.11 Full text0 citations

Authors

5 authors across 5 institutions in 2 countries.

Everlyne Osir OwiroFirst author
- University of Ibadan (NG)
as printed: Everlyne O. Owiro
Chinedum Peace Babalola
- University of Ibadan (NG)
as printed: Chinedum P. Babalola
Joseph Mwangi
- Kenya Medical Research Institute (KE)
James Mugo
- Kenya Medical Research Institute (KE)
Sally Wambui KamauSenior author
- Kenya Medical Research Institute (KE)
as printed: Sally Kamau

Fields

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

Computational Drug Discovery Methodslevel 3 · 0.11
Microbial Natural Products and Biosynthesislevel 3 · 0.05
Pharmacology and Nanomedicine Researchlevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · Tropical Journal of Natural Product Research · 0 citations
https://openalex.org/W7149607178

In silico Prediction of Anticancer Mechanisms of Crude Metabolites from Catharanthus roseus Endophytic Fungi using Network Pharmacology and Molecular Docking · Sankore