Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

SPINET-KSP: A Multi-Modal LLM-Graph Foundation Model for Contextual Prediction of Kinase-Substrate-Phosphatase Triads

2026Kinases and PhosphatasesJournalOpen access

10.3390/kinasesphosphatases4010003 Full text0 citations

Authors

5 authors across 3 institutions in 2 countries.

Micheal Olaolu ArowoloFirst authorCorresponding
as printed: Michael Olaolu Arowolo
Marian Emmanuel Okon
Davis Austria
Muhammad Azam
Suleiman AbdulsalamSenior author
- Kwara State University (NG)
as printed: Sulaiman Olaniyi Abdulsalam

Fields

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

Bioinformatics and Genomic Networkslevel 3 · 0.74
Computational Drug Discovery Methodslevel 3 · 0.06
Cell Image Analysis Techniqueslevel 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 · Kinases and Phosphatases · 0 citations
https://openalex.org/W7125479523

SPINET-KSP: A Multi-Modal LLM-Graph Foundation Model for Contextual Prediction of Kinase-Substrate-Phosphatase Triads · Sankore