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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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Characterisation of Singular Domains in Threshold-Dependent Biological Networks

2022Journal of the Nigerian Society of Physical SciencesJournalOpen access

10.46481/jnsps.2022.812 Full text0 citations

Authors

6 authors across 4 institutions in 1 country.

Benitho NgwuFirst authorCorresponding
- Federal University Oye Ekiti (NG)
Godwin Christopher E MBAHCorresponding
- University of Nigeria (NG)
as printed: Godwin C. E. Mbah
Chika MmaduakorCorresponding
- Federal University Oye Ekiti (NG)
as printed: Chika O. Mmaduakor
Sunday IsienyiCorresponding
- Akanu Ibiam, Federal Polytechnic Unwana (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
Oghenekevwe R. AjewoleCorresponding
- Federal University Oye Ekiti (NG)
Felix D. AjibadeSenior authorCorresponding
- Federal University Oye Ekiti (NG)

Fields

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

Gene Regulatory Network Analysislevel 3 · 1.00
Microtubule and mitosis dynamicslevel 3 · 0.99
Nonlinear Dynamics and Pattern Formationlevel 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
2022 · Journal of the Nigerian Society of Physical Sciences · 0 citations
https://openalex.org/W4292430202

Characterisation of Singular Domains in Threshold-Dependent Biological Networks · Sankore