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Beatrice Nkiruka Iwuala · Peerford

Ahmadu Bello University / Scholars

BI

Beatrice Nkiruka Iwuala

Ahmadu Bello University

Publishing since 2017, latest 2026

Computational Theory and Mathematics
Molecular Biology
Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis
Organic Chemistry
Pollution

ORCID 0000-0002-7447-5493
Their record on OpenAlex

Publications: 42017–2026
Citations: 7to those papers
h-index: 2i10-index 0
Field-weighted impact: 1.531.00 is the world average
World top 10%: 25%1 of 4 scored papers
Open access: 100%4 papers free to read

By year

Papers, and the citations to them

Publications, left axisCitations to that year’s papers, right axis2026 still in progress

Citations received each year

Peerford

To all their work, old papers included. Google Scholar also counts citations from theses, books and web pages, so its line runs higher.

Publications

4 in all

Newest Most cited Oldest Title

Search their publications by title

Optimizing antimalarial discovery: A robust machine learning framework for chalcone bioactivity prediction using ensemble classifiers and oversampling strategies
2026Scientific AfricanJournalOpen accessFirst authorCorresponding1 citation10.1016/j.sciaf.2026.e03393
Chalcone derivatives for antimalarial drug discovery: drug-likeness evaluation and chemical space analysis

Download CV:PDF · Word

Who they write with Where their co-authors are Every publication

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What they work on

From the classification of each paper

Subfields

Computational Theory and Mathematics375%
Molecular Biology250%
Public Health, Environmental and Occupational Health250%
Health, Toxicology and Mutagenesis125%
Organic Chemistry125%
Pollution125%

Health Sciences
Life Sciences
Physical Sciences

Topics most written on

Computational Drug Discovery Methods3
Malaria Research and Control2
Biochemical and Molecular Research1
Environmental Toxicology and Ecotoxicology1
Genetics, Bioinformatics, and Biomedical Research1
Pesticide and Herbicide Environmental Studies1
Pharmaceutical and Antibiotic Environmental Impacts1
Synthesis and biological activity1
vaccines and immunoinformatics approaches1

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

0% of their papers have a co-author abroad

Most frequent partner countries

Papers with at least one author in that country.

Institutions written with most

Federal College of Education, KanoNG3 papers
Kaduna State UniversityNG1 paper

Where they publish

Academia Drug Development and Pharmacotherapy1
In Silico Research in Biomedicine1
Science World Journal1
Scientific African1

How it can be read

100% free to read

Gold 2 · 50%In an open-access journal
Hybrid 1 · 25%Open in a subscription journal
Green 1 · 25%A copy in a repository

Development goals addressed

From each paper’s title and abstract

3Good health and well-being2
15Life on land1

Most cited

BIODEGRADATION OF ENDOSULFAN BY MIXED BACTERIA CULTURE STRAINS OF PSEUDOMONAS AERUGINOSA AND STAPHYLOCOCCUS AUREUS
Science World Journal15
20174 citationsOpen access · Green
Quantitative structure-activity relationship (QSAR) studies of dihydroorotate dehydrogenase inhibitors of Plasmodium falciparum for the combat of malaria resistance using machine learning models classification approach
In Silico Research in Biomedicine3
20252 citationsOpen access · Gold
Optimizing antimalarial discovery: A robust machine learning framework for chalcone bioactivity prediction using ensemble classifiers and oversampling strategies
Scientific African
20261 citationWorld top 10%Open access · Gold
Chalcone derivatives for antimalarial drug discovery: drug-likeness evaluation and chemical space analysis
Academia Drug Development and Pharmacotherapy3
20260 citationsOpen access · Hybrid

2026

Academia Drug Development and Pharmacotherapy

Journal

Open access

First author

Corresponding

0 citations

10.20935/acaddrug8373

Quantitative structure-activity relationship (QSAR) studies of dihydroorotate dehydrogenase inhibitors of Plasmodium falciparum for the combat of malaria resistance using machine learning models classification approach

2025In Silico Research in BiomedicineJournalOpen accessFirst authorCorresponding2 citations10.1016/j.insi.2025.100019

BIODEGRADATION OF ENDOSULFAN BY MIXED BACTERIA CULTURE STRAINS OF PSEUDOMONAS AERUGINOSA AND STAPHYLOCOCCUS AUREUS

2017Science World JournalJournalOpen accessSenior author4 citations