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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.

Josiah Joseph Isah · Sankore

Ahmadu Bello University

Josiah Joseph Isah

ORCID, self-asserted

ORCID 0009-0005-5209-6539

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

Publications

10

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.

Affiliations

Every institution this scholar has appeared with on a work, by how many.

Ahmadu Bello University10 works
Federal Ministry of Health9 works
Federal University Otuoke1 works
Federal University of Health Sciences, Otukpo1 works
University of Health Sciences1 works

Publications

10 works in the graph, newest first.

Computational design and evaluation of novel thienopyrimidine PI3Kδ inhibitors for diffuse large b-cell lymphoma: QSAR, docking, molecular dynamics, and density functional theory studies
2026Current Pharmaceutical AnalysisJournalOpen accessFirst authorCorresponding1 citations10.1016/j.cpan.2026.03.005
Machine Learning– driven discovery and optimization of PI3Kδ inhibitors for diffuse large B-cell lymphoma
2026Scientific AfricanJournalOpen accessFirst authorCorresponding0 citations10.1016/j.sciaf.2026.e03206
Integrating machine learning and molecular simulations for the design of potent HDAC2 inhibitors in diffuse large B-cell lymphoma
2026Computational Biology and ChemistryJournalFirst authorCorresponding0 citations10.1016/j.compbiolchem.2026.108949
Novel design and in silico optimization of 5-azaquinazoline-based IRAK4 inhibitors using qsar, docking, pharmacokinetics, and molecular dynamics for diffuse large B-Cell lymphoma
2025In Silico Research in Biomedicine

Journal

Open access

First author

Corresponding

11 citations

10.1016/j.insi.2025.100047

Quantitative structure-activity relationship-guided design and molecular modeling of anaplastic lymphoma kinase L1196M inhibitors: overcoming drug resistance through docking, ADMET (absorption, distribution, metabolism, excretion, and toxicity), and density functional theory studies

2025ASPET DiscoveryJournalOpen accessCorresponding8 citations10.1016/j.aspetd.2025.100015

Machine learning–guided optimization of MALT1 inhibitors for diffuse large B-cell lymphoma via QSAR modelling, molecular docking, ADMET profiling, and molecular dynamics simulations

2025Letters in Drug Design & DiscoveryJournalOpen accessFirst authorCorresponding8 citations10.1016/j.lddd.2025.100208

Integrated QSAR, docking, pharmacokinetics, and molecular dynamics approaches for designing IRAK4 inhibitors against MYD88^L265P-driven diffuse large B-cell lymphoma

2025Discover Chemistry.JournalOpen accessFirst authorCorresponding3 citations10.1007/s44371-025-00391-w

From QSAR to dynamics: A data-driven design of drug-like lactam-based HDAC inhibitors for diffuse large B-cell lymphoma

2025In Silico Research in BiomedicineJournalOpen accessFirst authorCorresponding6 citations10.1016/j.insi.2025.100060

Computational optimization of MALT1 inhibitors against DLBCL: a QSAR-guided molecular docking and dynamics study

2025In Silico PharmacologyJournalFirst authorCorresponding2 citations10.1007/s40203-025-00466-7

From scaffold to candidate: an integrated machine Learning, QSAR, docking, and molecular dynamics framework for the rational design of IRAK4 inhibitors in diffuse large B-cell lymphoma

2025Network Modeling Analysis in Health Informatics and BioinformaticsJournalFirst authorCorresponding1 citations10.1007/s13721-025-00703-1