Abass Toba Anifowoshe

RESEARCH, TEACHING, or OTHER INTERESTS

Toxicology, Molecular Biology, Developmental Biology, Environmental Science

Scopus Publications

Affective e-learning approaches, technology and implementation model: A systematic review
Marion Olubunmi Adebiyi, Abayomi Aduragba Adebiyi, Deborah Olaniyan, and Bajeh Amos Orenyi
Institute of Advanced Engineering and Science
A systematic literature study including articles from 2016 to 2022 was done to evaluate the various approaches, technologies, and implementation models involved in measuring student engagement during learning. The review’s objective was to compile and analyze all studies that investigated how instructors can gauge students’ mental states while teaching and assess the most effective teaching methods. Additionally, it aims to extract and assess expanded methodologies from chosen research publications to offer suggestions and answers to researchers and practitioners. Planning, carrying out the analysis, and publishing the results have all received significant attention in the research approach. The study’s findings indicate that more needs to be done to evaluate student participation objectively and follow their development for improved academic performance. Physiological approaches should be given more support among the alternatives. While deep learning implementation models and contactless technology should interest more researchers. And, the recommender system should be integrated into e-learning system. Other approaches, technologies, and methodology articles, on the other hand, lacked authenticity in conveying student feeling.


Comparative Analysis of Feature Selection Methods for Software Bug Classification
Bajeh Amos Orenyi, Olowe Oluwambo Tolulope, and Asani Emmanuel Tobi
IEEE
Software bug classification is a critical task in software engineering aimed at identifying defects early to improve software quality and reliability. Despite its importance, effectively classifying software defects remains a challenge, necessitating the use of advanced techniques such as feature selection. This research presents a comprehensive study on feature selection methods for software defect classification, to evaluate their effectiveness in enhancing classification accuracy. The study investigates the impact of feature selection methods (filter-based, wrapper-based, and embedding) on model performance using classification algorithms such Naïve Bayes, Support Vector Machines, K-Nearest Neighbour, and Random Forest. The studies are carried out using publicly accessible software defect datasets, and conventional evaluation measures such as accuracy, precision, recall, and F1-score are used to evaluate the effectiveness of each feature selection strategy. The findings of the study confirm the effectiveness of ensemble methods in bug severity classification, with Random Forest achieving notable accuracy rates for different datasets. Additionally, the study highlights the superiority of wrapper feature selection techniques over filter methods, demonstrating their ability to select informative features for defect severity classification. The findings of this work give useful information for practitioners in selecting and implementing feature selection approaches when developing defect classification models, ultimately contributing to the enhancement of software quality and reliability.


Strengthening Bioinformatics and Genomics Analysis Skills in Africa for Attainment of the Sustainable Development Goals: Report of the 2nd Conference of the Nigerian Bioinformatics and Genomics Network
Itunuoluwa Isewon, Chisom Soremekun, Marion Adebiyi, Charles Adetunji, Adewale Joseph Ogunleye, Amos Orenyi Bajeh, Emmanuel Oluwatobi Asani, Babatunde Gbadamosi, Opeyemi Soremekun, Brenda Udosen,et al.
American Society of Tropical Medicine and Hygiene
ABSTRACT. The second conference of the Nigerian Bioinformatics and Genomics Network (NBGN21) was held from October 11 to October 13, 2021. The event was organized by the Nigerian Bioinformatics and Genomics Network. A 1-day genomic analysis workshop on genome-wide association study and polygenic risk score analysis was organized as part of the conference. It was organized primarily as a research capacity building initiative to empower Nigerian researchers to take a leading role in this cutting-edge field of genomic data science. The theme of the conference was “Leveraging Bioinformatics and Genomics for the attainments of the Sustainable Development Goals.” The conference used a hybrid approach—virtual and in-person. It served as a platform to bring together 235 registered participants mainly from Nigeria and virtually, from all over the world. NBGN21 had four keynote speakers and four leading Nigerian scientists received awards for their contributions to genomics and bioinformatics development in Nigeria. A total of 100 travel fellowships were awarded to delegates within Nigeria. A major topic of discussion was the application of bioinformatics and genomics in the achievement of the Sustainable Development Goals (SDG3—Good Health and Well-Being, SDG4—Quality Education, and SDG 15—Life on Land [Biodiversity]). In closing, most of the NBGN21 conference participants were interviewed and interestingly they agreed that bioinformatics and genomic analysis of African genomes are vital in identifying population-specific genetic variants that confer susceptibility to different diseases that are endemic in Africa. The knowledge of this can empower African healthcare systems and governments for timely intervention, thereby enhancing good health and well-being.


Empirical Analysis of Data Sampling-Based Ensemble Methods in Software Defect Prediction
Abdullateef O. Balogun, Babajide J. Odejide, Amos O. Bajeh, Zubair O. Alanamu, Fatima E. Usman-Hamza, Hammid O. Adeleke, Modinat A. Mabayoje, and Shakirat R. Yusuff
Springer International Publishing



An Empirical Study on Data Sampling Methods in Addressing Class Imbalance Problem in Software Defect Prediction
Babajide J. Odejide, Amos O. Bajeh, Abdullateef O. Balogun, Zubair O. Alanamu, Kayode S. Adewole, Abimbola G. Akintola, Shakirat A. Salihu, Fatima E. Usman-Hamza, and Hammed A. Mojeed
Springer International Publishing



An Integrated IDS Using ICA-Based Feature Selection and SVM Classification Method
Roseline Oluwaseun Ogundokun, Sanjay Misra, Amos O. Bajeh, Ufuoma Odomero Okoro, and Ravin Ahuja
Springer International Publishing



Software defect prediction using wrapper feature selection based on dynamic re-reranking strategy
Abdullateef Oluwagbemiga Balogun, Shuib Basri, Luiz Fernando Capretz, Saipunidzam Mahamad, Abdullahi Abubakar Imam, Malek A. Almomani, Victor Elijah Adeyemo, Ammar K. Alazzawi, Amos Orenyi Bajeh, and Ganesh Kumar
MDPI AG
Finding defects early in a software system is a crucial task, as it creates adequate time for fixing such defects using available resources. Strategies such as symmetric testing have proven useful; however, its inability in differentiating incorrect implementations from correct ones is a drawback. Software defect prediction (SDP) is another feasible method that can be used for detecting defects early. Additionally, high dimensionality, a data quality problem, has a detrimental effect on the predictive capability of SDP models. Feature selection (FS) has been used as a feasible solution for solving the high dimensionality issue in SDP. According to current literature, the two basic forms of FS approaches are filter-based feature selection (FFS) and wrapper-based feature selection (WFS). Between the two, WFS approaches have been deemed to be superior. However, WFS methods have a high computational cost due to the unknown number of executions available for feature subset search, evaluation, and selection. This characteristic of WFS often leads to overfitting of classifier models due to its easy trapping in local maxima. The trapping of the WFS subset evaluator in local maxima can be overcome by using an effective search method in the evaluator process. Hence, this study proposes an enhanced WFS method that dynamically and iteratively selects features. The proposed enhanced WFS (EWFS) method is based on incrementally selecting features while considering previously selected features in its search space. The novelty of EWFS is based on the enhancement of the subset evaluation process of WFS methods by deploying a dynamic re-ranking strategy that iteratively selects germane features with a low subset evaluation cycle while not compromising the prediction performance of the ensuing model. For evaluation, EWFS was deployed with Decision Tree (DT) and Naïve Bayes classifiers on software defect datasets with varying granularities. The experimental findings revealed that EWFS outperformed existing metaheuristics and sequential search-based WFS approaches established in this work. Additionally, EWFS selected fewer features with less computational time as compared with existing metaheuristics and sequential search-based WFS methods.


Ensemble models for predicting warts treatment methods




Cascade Generalization Based Functional Tree for Website Phishing Detection
Abdullateef O. Balogun, Kayode S. Adewole, Amos O. Bajeh, and Rasheed G. Jimoh
Springer Singapore



Optimized Decision Forest for Website Phishing Detection
Abdullateef O. Balogun, Hammed A. Mojeed, Kayode S. Adewole, Abimbola G. Akintola, Shakirat A. Salihu, Amos O. Bajeh, and Rasheed G. Jimoh
Springer International Publishing



Heterogeneous Ensemble with Combined Dimensionality Reduction for Social Spam Detection
Abdulfatai Ganiyu Oladepo, Amos Orenyi Bajeh, Abdullateef Oluwagbemiga Balogun, Hammed Adeleye Mojeed, Abdulsalam Abiodun Salman, and Abdullateef Iyanda Bako
International Association of Online Engineering (IAOE)
This study presents a novel framework based on a heterogeneous ensemble method and a hybrid dimensionality reduction technique for spam detection in micro-blogging social networks. A hybrid of Information Gain (IG) and Principal Component Analysis (PCA) (dimensionality reduction) was implemented for the selection of important features and a heterogeneous ensemble consisting of Naïve Bayes (NB), K Nearest Neighbor (KNN), Logistic Regression (LR) and Repeated Incremental Pruning to Produce Error Reduction (RIPPER) classifiers based on Average of Probabilities (AOP) was used for spam detection. The proposed framework was applied on MPI_SWS and SAC’13 Tip spam datasets and the developed models were evaluated based on accuracy, precision, recall, f-measure, and area under the curve (AUC). From the experimental results, the proposed framework (that is, Ensemble + IG + PCA) outperformed other experimented methods on studied spam datasets. Specifically, the proposed method had an average accuracy value of 87.5%, an average precision score of 0.877, an average recall value of 0.845, an average F-measure value of 0.872 and an average AUC value of 0.943. Also, the proposed method had better performance than some existing methods. Consequently, this study has shown that addressing high dimensionality in spam datasets, in this case, a hybrid of IG and PCA with a heterogeneous ensemble method can produce a more effective method for detecting spam contents.


Data Sampling-Based Feature Selection Framework for Software Defect Prediction
Abdullateef O. Balogun, Fatimah B. Lafenwa-Balogun, Hammed A. Mojeed, Fatimah E. Usman-Hamza, Amos O. Bajeh, Victor E. Adeyemo, Kayode S. Adewole, and Rasheed G. Jimoh
Springer International Publishing



Application of Internet of Thing and Cyber Physical System in Industry 4.0 Smart Manufacturing
Oluwakemi Christiana Abikoye, Amos Orenyi Bajeh, Joseph Bamidele Awotunde, Ahmed Oloduowo Ameen, Hammed Adeleye Mojeed, Muyideen Abdulraheem, Idowu Dauda Oladipo, and Shakirat Aderonke Salihu
Springer International Publishing



Internet of Robotic Things: Its Domain, Methodologies, and Applications
Amos Orenyi Bajeh, Hammed Adeleye Mojeed, Ahmed Oloduowo Ameen, Oluwakemi Christiana Abikoye, Shakirat Aderonke Salihu, Muyideen Abdulraheem, Idowu Dauda Oladipo, and Joseph Bamidele Awotunde
Springer International Publishing



Exploring the Constructive Alignment of Pedagogical Practices in Science and Engineering Education in Sub-Saharan African Universities: A Nigerian Case Study
David Olubiyi Obada, Olayinka Adewumi, Chika Yinka-Banjo, Amos Bajeh, and Razak Alli-Oke
International Association of Online Engineering (IAOE)
Improved pedagogical approaches in teaching science and engineering are crucial to solving the most pressing technological challenges faced in most developing countries. Despite the avalanche of programs to train faculty members to fill this need, there is a need to conceptualize benchmarks for evaluating how teaching should be delivered to students in our institutions. The aim of this paper is to understand how science and engineering courses can be taught in a more effective manner in our universities, especially in developing countries, using the backward design approach. Several case studies of undergraduate science and engineering courses were outlined and the backward design approach was used to put them in context. Questions generated by the conceptual framework guided the analyses and these components constructively aligned with each other.


Impact of feature selection methods on the predictive performance of software defect prediction models: An extensive empirical study
Abdullateef O. Balogun, Shuib Basri, Saipunidzam Mahamad, Said J. Abdulkadir, Malek A. Almomani, Victor E. Adeyemo, Qasem Al-Tashi, Hammed A. Mojeed, Abdullahi A. Imam, and Amos O. Bajeh
MDPI AG
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and many FS methods have been proposed in the context of software defect prediction (SDP). Moreover, many empirical studies on the impact and effectiveness of FS methods on SDP models often lead to contradictory experimental results and inconsistent findings. These contradictions can be attributed to relative study limitations such as small datasets, limited FS search methods, and unsuitable prediction models in the respective scope of studies. It is hence critical to conduct an extensive empirical study to address these contradictions to guide researchers and buttress the scientific tenacity of experimental conclusions. In this study, we investigated the impact of 46 FS methods using Naïve Bayes and Decision Tree classifiers over 25 software defect datasets from 4 software repositories (NASA, PROMISE, ReLink, and AEEEM). The ensuing prediction models were evaluated based on accuracy and AUC values. Scott–KnottESD and the novel Double Scott–KnottESD rank statistical methods were used for statistical ranking of the studied FS methods. The experimental results showed that there is no one best FS method as their respective performances depends on the choice of classifiers, performance evaluation metrics, and dataset. However, we recommend the use of statistical-based, probability-based, and classifier-based filter feature ranking (FFR) methods, respectively, in SDP. For filter subset selection (FSS) methods, correlation-based feature selection (CFS) with metaheuristic search methods is recommended. For wrapper feature selection (WFS) methods, the IWSS-based WFS method is recommended as it outperforms the conventional SFS and LHS-based WFS methods.


Object-oriented measures as testability indicators: An empirical study




Application of computational intelligence models in IoMT big data for heart disease diagnosis in personalized health care
Amos Orenyi Bajeh, Oluwakemi Christiana Abikoye, Hammed Adeleye Mojeed, Shakirat Aderonke Salihu, Idowu Dauda Oladipo, Muyideen Abdulraheem, Joseph Bamidele Awotunde, Arun Kumar Sangaiah, and Kayode S. Adewole
Elsevier



An Approach for Journal Summarization Using Clustering Based Micro-Summary Generation
Hammed A. Mojeed, Ummu Sanoh, Shakirat A. Salihu, Abdullateef O. Balogun, Amos O. Bajeh, Abimbola G. Akintola, Modinat A. Mabayoje, and Fatimah E. Usman-Hamzah
Springer International Publishing



SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction
Abdullateef O. Balogun, Fatimah B. Lafenwa-Balogun, Hammed A. Mojeed, Victor E. Adeyemo, Oluwatobi N. Akande, Abimbola G. Akintola, Amos O. Bajeh, and Fatimah E. Usman-Hamza
Springer International Publishing



Search-Based Wrapper Feature Selection Methods in Software Defect Prediction: An Empirical Analysis
Abdullateef O. Balogun, Shuib Basri, Said A. Jadid, Saipunidzam Mahamad, Malek A. Al-momani, Amos O. Bajeh, and Ammar K. Alazzawi
Springer International Publishing



Memetic approach for multi-objective overtime planning in software engineering projects




Software defect prediction: Analysis of class imbalance and performance stability




Software development practices and problems in Malaysian small and medium software enterprises: A pilot study
Malek Ahmad Theeb Almomani, Shuib Basri, Ahmad Kamil B. Mahmood, and Amos Orenyi Bajeh
IEEE
This paper presents an empirical study that investigates Software Process Improvement (SPI) current practices amongst software development Small and Medium Enterprises (SMEs) in Malaysia. The empirical study determines the current practices of adoption of SPI and related problems. Six Malaysian software development SMEs were involved in the empirical study. The results of the study showed that the level of adoption of Software Process Improvement in Malaysian software development SMEs is still very much at the low level. Other organisational, software development and project issues were identified as contributing to the low level of SPI adoption in Malaysia.


An empirical validation of coupling and cohesion metrics as testability indicators
Amos Orenyi Bajeh, Shuib Basri, and Low Tang Jung
Springer Berlin Heidelberg

RECENT SCHOLAR PUBLICATIONS

Microplastics: A threat to Fetoplacental unit and Reproductive systems
AT Anifowoshe, MN Akhtar, A Majeed, AS Singh, TF Ismail, ...
Toxicology Reports, 101938 2025



Microplastic pollution in the surface water of Yele Mallappa Shetty Lake, Bengaluru: First report
NS Kaviyarasi, V Prasanna, S Abitha, AT Anifowoshe
Journal of Environmental Biology 45 (5), 515-524 2024



Synthesis and characterization of micro-sized polyisobutylene and evaluation of its toxicological effects on the development and homeostasis of zebrafish (Danio rerio)
AT Anifowoshe, A Mukherjee, VA Ajisafe, AM Raichur, U Nongthomba
Scientific Reports 14 (1), 20300 2024



Antibiotic alters host’s gut microbiota, fertility, and antimicrobial peptide gene expression vis--vis ampicillin treatment on model organism Drosophila melanogaster
AS Singh, D Pathak, MS Devi, AT Anifowoshe, U Nongthomba
International Microbiology, 1-12 2024



The association of cysteine to thiomersal attenuates its apoptosis-mediated cytotoxicity in zebrafish
D Dutta, S Show, A Pal, AT Anifowoshe, MP Aj, U Nongthomba
Chemosphere 350, 141070 2024



Cellular stress and Inflammatory Responses in Mice Exposed to Aspergillus nigerus, Rhizopus oryzae, and Rhizopus delemar
G Zheng, Y Zhang, L Wang, AT Anifowoshe, BF Oyeyemi, K Zhou
LATIN AMERICAN JOURNAL OF PHARMACY 42 (7), 1396-1406 2023



Induction of oxidative stress and DNA damage in two common fish species of rivers and reservoirs in Ilorin, Northcentral, Nigeria
AT Anifowoshe, SO Oladipo, AN Oyinloye, A Opute, EO Odofin, A Omotola, ...
Journal of Taibah University for Science 16 (1), 480-494 2022



Extract of Morinda lucida leaf rescues hypoglycaemic and dyslipidaemic conditions in Plasmodium berghei-infected mice
AO Abdulkareem, AO Babamale, AT Anifowoshe, OA Opeyemi, ...
Bulletin of Natural Sciences Research 12 (2), 1-6. 2022



Genetic diversity of Plasmodium falciparum isolates in Nigeria. A review
AO Opute, JA Akinkunmi, AO Funsho, AK Obaniyi, AT Anifowoshe
Egyptian Journal of Medical Human Genetics 23 (1), 129 2022



Population Genetic Structure of Three Cichlids in Ilorin, North-Central Nigeria
OA Iyiola, RD Shaibu, SO Oladipo, KO Kareem, LM Nneji, AC Adeola, ...
The Iraqi Journal of Veterinary Medicine 46 (1), 1-9 2022



Evaluation of cytogenotoxic potential and embryotoxicity of KRS-Cauvery River water in zebrafish (Danio rerio)
AT Anifowoshe, D Roy, S Dutta, U Nongthomba
Ecotoxicology and Environmental Safety 233, 113320 2022



Plankton Composition and Distribution in Some Selected Rivers Within Ilorin, Kwara State, North Central Nigeria
A Majeed, H Tajudeen, O Grace, A Damilola, A Nseabasi, A Ruth, ...
Manila Journal of Science 15 (2), 19-33 2022



Induction of Micronuclei, Cellular Stress Response, and DNA Strand Breakage in Two Common Fish Species From Rivers and Reservoirs in Ilorin, Nigeria.
AT Anifowoshe, SO Oladipo, AN Oyinloye, A Opute, E Odofin, O Aiki, ...
2021



Cellular stress response, induction of micronuclei and DNA strand breaks in two common fish species of Rivers and Reservoirs in Ilorin, North Central, Nigeria.
AT Anifowoshe, SO Oladipo, AN Oyinloye, A Opute, E Odofin, O Aiki, ...
2021



Molecular characterization of Malapterurus minjiriya Sagua, 1987 and phylogenetic relationships within the genus Malapterurus (Silurifomes, Malapteruridae) from
SO Oladipo, LM Nneji, AT Anifowoshe, IC Nneji
Journal of Fish Biology 97 (6), 1865-1869 2020



Padres de diversidade e distribuio da ictiofauna na barragem de hidroeltricas (HEP) de Jebba, Jebba, Nigria norte-central
SO Oladipo, LM Nneji, OA Iyiola, IC Nneji, AO Ayoola, KM Adelakun, ...
Brazilian Journal of Biology 81, 258-267 2020



Patterns of ichthyofaunal diversity and distribution across Jebba Hydro-Electric Power (HEP) dam, Jebba, north-central Nigeria
SO Oladipo, LM Nneji, OA Iyiola, IC Nneji, AO Ayoola, KM Adelakun, ...
Brazilian Journal of Biology 81 (2), 258-267 2020



Histological and hepatic enzymes response of Oreochromis niloticus and Clarias anguillaris to pollution in Asa river, ilorin
SO Oladipo, T Adeniyi, A Anifowoshe
Journal of Life and Bio Sciences Research 1 (01), 16-21 2020



Histological changes, micronuclei induction and nuclear abnormalities in the peripheral erythrocytes of Clarias gariepinus (Burchell 1822) exposed to water sample from Apodu
A Anifowoshe, J Oyebanji, O Oladipo, F Oyeyemi, M Abdulrahim, ...
Journal of Life and Bio Sciences Research 1 (01), 01-07 2020



Evaluation of cytogenotoxic potential of Morinda lucida leaf extract on Swiss albino male mice using two bioassays
AT Anifowoshe, AO Abdulkareem, OA Opeyemi, OM Aina, DE Makanjuola, ...
Journal of Basic and Clinical Physiology and Pharmacology 31 (1), 20190079 2020

MOST CITED SCHOLAR PUBLICATIONS

Gene frequencies of ABO and Rh blood groups in Nigeria: A review
AT Anifowoshe, OA Owolodun, KM Akinseye, OA Iyiola, BF Oyeyemi
Egyptian Journal of Medical human genetics 18 (3), 205-210 2017
Citations: 85



Sexual dimorphism in ratio of second and fourth digits and its relationship with metabolic syndrome indices and cardiovascular risk factors
BF Oyeyemi, OA Iyiola, AW Oyeyemi, KA Oricha, AT Anifowoshe, ...
Journal of research in medical sciences: the official journal of Isfahan 2014
Citations: 58



Genotoxicity of titanium dioxide nanoparticles using the mouse bone marrow micronucleus and sperm morphology assays
AA Bakare, AJ Udoakang, AT Anifowoshe, OM Fadoju, OI Ogunsuyi, ...
J Pollut Eff Cont 4 (156), 2 2016
Citations: 37



Gene frequencies of ABO and Rh (D) blood group alleles in Ilorin, North-Central Nigeria
OA Iyiola, OO Igunnugbemi, UA Raheem, AT Anifowoshe
World J Biol Res 4 (1), 6-14 2011
Citations: 35



Evaluation of cytogenotoxic potential and embryotoxicity of KRS-Cauvery River water in zebrafish (Danio rerio)
AT Anifowoshe, D Roy, S Dutta, U Nongthomba
Ecotoxicology and Environmental Safety 233, 113320 2022
Citations: 20



Fish composition and diversity assessment of Apodu Reservoir, Malete, Nigeria
SO Oladipo, MK Mustapha, LK Suleiman, AT Anifowoshe
International Journal of Fisheries and Aquatic Studies 6 (2), 89-93 2018
Citations: 17



Histological changes, micronuclei induction and nuclear abnormalities in the peripheral erythrocytes of Clarias gariepinus (Burchell 1822) exposed to water sample from Apodu
A Anifowoshe, J Oyebanji, O Oladipo, F Oyeyemi, M Abdulrahim, ...
Journal of Life and Bio Sciences Research 1 (01), 01-07 2020
Citations: 14



Induction of Micronuclei, Base-pair Substitution Mutation and Excision-repair Deficient by Polluted Water from Asa River in Nigeria
AT Anifowoshe, OS Oladipo, MO Adebayo, SO Eboh, RA Abdussalam, MA Adegbenro ...
Annals of Science and Technology 4 (2), 68-77 2019
Citations: 11



Ecogenotoxicogical assessments of some selected fish species from Apodu reservoir, Malete, North-central, Nigeria
AT Anifowoshe, SO Oladipo, OA Owolodun, MK Akinseye, TF Olafimihan, ...
Manila journal of science 11, 1-14 2018
Citations: 11



Cypermethrin and chlorpyrifos raises serum urea level and causes abnormal sperm morphology in Wistar rats
OA Iyiola, AF Sulaiman, AA Sulaiman, AT Anifowoshe, JO Akolade, ...
Biointerface Research in Applied Chemistry 9 (3), 3969-3973 2019
Citations: 10



Genotoxicity and histopathological assessment of silver nanoparticles in Swiss albino mice
O Iyiola, TF Olafimihan, FA Sulaiman, AT Anifowoshe
Cuadernos de Investigacin UNED 10 (1), 102-109 2018
Citations: 9



Patterns of ichthyofaunal diversity and distribution across Jebba Hydro-Electric Power (HEP) dam, Jebba, north-central Nigeria
SO Oladipo, LM Nneji, OA Iyiola, IC Nneji, AO Ayoola, KM Adelakun, ...
Brazilian Journal of Biology 81 (2), 258-267 2020
Citations: 8



Relationship between ratio of second and fourth digit and obesity traits among different ethnic groups in Ilorin, North Central Nigeria
BF OYEYEMI, JO ADEBAYO, AT ANIFOWOSHE, OA IYIOLA
Notulae Scientia Biologicae 8 (4), 396-400 2016
Citations: 8



Genetic diversity of Plasmodium falciparum isolates in Nigeria. A review
AO Opute, JA Akinkunmi, AO Funsho, AK Obaniyi, AT Anifowoshe
Egyptian Journal of Medical Human Genetics 23 (1), 129 2022
Citations: 7



Growth pattern and condition factor of seven freshwater fish species from Jebba Lake, north-central Nigeria
SO OLADIPO, LM NNEJI, AT ANIFOWOSHE, IC NNEJI, OA Iyiola, ...
Iranian Journal of Ichthyology 5 (2), 167-172 2018
Citations: 7



Gene frequencies of ABO and Rh (D) blood group alleles in Minna, North-Central, Nigeria
AT Anifowoshe, BF Oyeyemi, OA Iyiola, IO Ahmed, KM Akinseye, ...
Niger J Pure Appl Sci 28, 2644-57 2015
Citations: 7



Histological and hepatic enzymes response of Oreochromis niloticus and Clarias anguillaris to pollution in Asa river, ilorin
SO Oladipo, T Adeniyi, A Anifowoshe
Journal of Life and Bio Sciences Research 1 (01), 16-21 2020
Citations: 6



Frequency of twinning in Nigeria: a review
K Akinseye, A Anifowoshe, O Owolodun, O Aina, O Iyiola
Manila J Sci 12, 78-88 2019
Citations: 6



The association of cysteine to thiomersal attenuates its apoptosis-mediated cytotoxicity in zebrafish
D Dutta, S Show, A Pal, AT Anifowoshe, MP Aj, U Nongthomba
Chemosphere 350, 141070 2024
Citations: 5



Ecotoxicological assessment of leachate from amilegbe dumpsite, Ilorin, Nigeria using Clarias gariepinus (Burchell 1822) and Allium cepa
OA Adeyemi-Ale, AT Anifowoshe, SI Abdulkareem
Agrosearch 18 (2), 59-71 2018
Citations: 5