Mohanad Mohammed

594 citations
23 papers · 349 · h-index 10

Impact in

Papers in

  • Molecular Biology 16
    • Gene expression and cancer classification 10
    • Bioinformatics and Genomic Networks 6
    • Molecular Biology Techniques and Applications 4
    • RNA modifications and cancer 3
  • Artificial Intelligence 8
    • AI in cancer detection 5
    • Machine Learning and Data Classification 2
Co-authors
Murtada K. Elbashir (10 shared papers)Henry Mwambi (9 shared papers)Bernard Omolo (5 shared papers)Innocent B. Mboya (3 shared papers)Mohamed Ezz (3 shared papers)Joseph Obure (1 shared paper)Michael Johnson Mahande (1 shared paper)Absalom E. Ezugwu (2 shared papers)
Journals
Scientific Reports (5 papers)Applied Sciences (2 papers)Frontiers in Public Health (2 papers)BMC Public Health (2 papers)IEEE Access (2 papers)
Partner nations
South AfricaSaudi ArabiaUnited States

In The Last Decade

Mohanad Mohammed

21 papers receiving 341 citations

Peers

Mohanad Mohammed
Comparison fields: 5 of 90
  • Health Information Management 20
  • Health Informatics 5
  • Artificial Intelligence 115
  • Radiology, Nuclear Medicine and Imaging 61
  • Cancer Research 33
Replace Mitra Montazeri with:
Mitra Montazeri Iran
Elham Nazari Iran
Chun-Hsien Chen Taiwan
Brian L. Hill United States
Hasan Zulfiqar China
Mahdieh Montazeri Iran
Mogana Darshini Ganggayah Malaysia
Truong Nguyen Khanh Hung Vietnam
Yazeed Zoabi Israel
Mohanad Mohammed relative to Mitra Montazeri Iran Mitra Montazeri's profile →
Citations per field
00.5×5×11×
Mitra Montazeri · 1×
Citations per year

Countries citing papers authored by Mohanad Mohammed

Since Specialization
Citations

This map shows the geographic impact of Mohanad Mohammed's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohanad Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohanad Mohammed more than expected).

Fields of papers citing papers by Mohanad Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohanad Mohammed. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohanad Mohammed. The network helps show where Mohanad Mohammed may publish in the future.

Co-authors

The 20 scholars most cited alongside Mohanad Mohammed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohanad Mohammed Line = papers co-authored together Mohanad Mohammed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A stacking ensemble deep learning approach to cancer type classification based on TCGA data
Scientific Reports ·Mohanad Mohammed, Henry Mwambi, Innocent B. Mboya, Murtada K. Elbashir, Bernard Omolo
202193
2
Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data
IEEE Access ·Murtada K. Elbashir, Mohamed Ezz, Mohanad Mohammed, Said S. Saloum
201952
3
Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania
BMJ Open ·Innocent B. Mboya, Michael Johnson Mahande, Mohanad Mohammed, Joseph Obure, Henry Mwambi
202033
4
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Scientific Reports ·Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, Abiodun M. Ikotun, Mohanad Mohammed
202327
5
Prevalence and factors associated with self-reported HIV testing among adolescent girls and young women in Rwanda: evidence from 2019/20 Rwanda Demographic and Health Survey
BMC Public Health ·Alfred Musekiwa, Patricia Silinda, Assanatou Bamogo, Halima S. Twabi, Mohanad Mohammed, Jesca Mercy Batidzirai, Zvifadzo Matsena Zingoni, Geoffrey Chiyuzga Singini, Maureen Moyo, Nobuhle Mchunu, Theodora Ijeoma Ekwomadu, Portia Nevhungoni, Innocent Maposa
202222
6
Using stacking ensemble for microarray-based cancer classification
Mohanad Mohammed, Henry Mwambi, Bernard Omolo, Murtada K. Elbashir
201821
7
Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data
PLoS ONE ·Mohanad Mohammed, Innocent B. Mboya, Henry Mwambi, Murtada K. Elbashir, Bernard Omolo
202118
8
Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction Network
Applied Sciences ·Murtada K. Elbashir, Mohanad Mohammed, Henry Mwambi, Bernard Omolo
202314
9
Colorectal Cancer Classification and Survival Analysis Based on an Integrated RNA and DNA Molecular Signature
Current Bioinformatics ·Mohanad Mohammed, Henry Mwambi, Bernard Omolo
202010
10
Mapping Evidence on the Burden of Breast, Cervical, and Prostate Cancers in Sub-Saharan Africa: A Scoping Review
Frontiers in Public Health ·Alfred Musekiwa, Maureen Moyo, Mohanad Mohammed, Zvifadzo Matsena Zingoni, Halima S. Twabi, Jesca Mercy Batidzirai, Geoffrey Chiyuzga Singini, Kabelo Kgarosi, Nobuhle Mchunu, Portia Nevhungoni, Patricia Silinda, Theodora Ijeoma Ekwomadu, Innocent Maposa
20229
11
Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification
IEEE Access ·Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed
20258
12
LASSO–MOGAT: a multi-omics graph attention framework for cancer classification
arXiv (Cornell University) ·Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, Mohanad Mohammed
20247
13
Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network
Diagnostics ·Murtada K. Elbashir, Abdullah Almotilag, Mahmood A. Mahmood, Mohanad Mohammed
20247
14
A novel feature selection algorithm for identifying hub genes in lung cancer
Scientific Reports ·Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, Mohanad Mohammed, Japie Greeff, Murtada K. Elbashir
20236
15
Breast cancer prediction based on gene expression data using interpretable machine learning techniques
Scientific Reports ·Gabriel Kallah-Dagadu, Mohanad Mohammed, Justine B. Nasejje, Nobuhle Mchunu, Halima S. Twabi, Jesca Mercy Batidzirai, Geoffrey Chiyuzga Singini, Portia Nevhungoni, Innocent Maposa
20256
16
Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniques
Scientific Reports ·Sarah Ogutu, Mohanad Mohammed, Henry Mwambi
20244
17
An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network
Applied Sciences ·Saleh Naif Almuayqil, Murtada K. Elbashir, Mohamed Ezz, Mohanad Mohammed, Ayman Mohamed Mostafa, Meshrif Alruily, Eslam Hamouda
20234
18
Bayesian spatial modelling of intimate partner violence and associated factors among adult women and men: evidence from 2019/2020 Rwanda Demographic and Health Survey
BMC Public Health ·Innocent Maposa, Halima S. Twabi, Zvifadzo Matsena Zingoni, Jesca Mercy Batidzirai, Geoffrey Chiyuzga Singini, Mohanad Mohammed, Alphonce Bere, Kabelo Kgarosi, Nobuhle Mchunu, Portia Nevhungoni, Maureen Moyo-Chilufya, Oludoyinmola Ojifinni, Alfred Musekiwa
20234
19
Fine-Tuning Pre-Trained Convolutional Neural Networks for Women Common Cancer Classification using RNA-Seq Gene Expression
International Journal of Advanced Computer Science and Applications ·Fadi Alharbi, K. Murtada, Mohanad Mohammed, Mohamed El-Hafiz
20202
20
Prediction of circRNA–miRNA Interaction Using Graph Attention Network Based on Molecular Attributes and Biological Networks
Processes ·Abdullah Almotilag, Murtada K. Elbashir, Mahmood A. Mahmood, Mohanad Mohammed
20251

About Mohanad Mohammed

Mohanad Mohammed is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 23 papers that have together received 349 indexed citations. Recurring topics across this work include Gene expression and cancer classification (10 papers), Bioinformatics and Genomic Networks (6 papers), AI in cancer detection (5 papers), Molecular Biology Techniques and Applications (4 papers), Ferroptosis and cancer prognosis (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Health Information Management (20 citations), Health Informatics (5 citations), Artificial Intelligence (115 citations), Radiology, Nuclear Medicine and Imaging (61 citations) and Cancer Research (33 citations). Mohanad Mohammed has collaborated with scholars based in South Africa, Saudi Arabia and United States. Frequent co-authors include Murtada K. Elbashir, Henry Mwambi, Bernard Omolo, Innocent B. Mboya, Mohamed Ezz, Joseph Obure, Michael Johnson Mahande, Absalom E. Ezugwu, Abiodun M. Ikotun and Aleksandar Vakanski. Their work appears in journals such as Scientific Reports, Applied Sciences, Frontiers in Public Health, BMC Public Health and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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