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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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ORCID — researcher identity
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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.

Damilohun Samuel Metibemu · Sankore

Adekunle Ajasin University

Damilohun Samuel Metibemu

ORCID, self-asserted

ORCID 0000-0002-5787-0475

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it.

Publications

6

Citations

40

h-index

4

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

1

Works published 2022 onward have been swept for this country. Figures are complete within that window, to the extent the open indexes are.

Publications

6 works in the graph, newest first.

Identification of apposite antagonist for androgen receptor in prostate cancer: an in silico study of fenugreek compounds
2023Journal of Biomolecular Structure and DynamicsJournal7 citations10.1080/07391102.2023.2273988
Cannabis sativa demonstrates anti-hepatocellular carcinoma potentials in animal model: in silico and in vivo studies of the involvement of Akt
2023Journal of Cannabis ResearchJournalOpen accessCorresponding6 citations10.1186/s42238-023-00190-z
Inhibition of phospholipase A2 from Naja haje and Naja nigricollis venoms by active fraction of Moringa oleifera leaves: in vitro and in silico methods
2023Toxin ReviewsJournal3 citations10.1080/15569543.2023.2205538
An Exploration of the Antiproliferative Potential of Chalcones and Dihydropyrazole Derivatives in Prostate Cancer via Androgen Receptor: Combined QSAR, Machine Learning, and Molecular Docking Techniques
2022Physical chemistry researchJournal18 citations10.22036/pcr.2021.293051.1932
Investigation of the Anticancer Potential of 2-alkoxycarbonylallyl Esters Against Metastatic Murine Breast Cancer Line 4T1 Targeting the EGFR: A Combined Molecular Docking, QSAR, and Machine Learning Approach
2022Letters in Drug Design & DiscoveryJournal5 citations10.2174/1570180819666220512111613
Predicting the Anticancer Activity of 2-alkoxycarbonylallyl Esters against MDA-MB-231 Breast Cancer - QSAR, Machine Learning and Molecular Docking
2022Current Drug Discovery TechnologiesJournal1 citations10.2174/1570163819666220811094019