Mohanad Mohammed

644 citations
25 papers · 391 · h-index 10

Impact in

Papers in

  • Molecular Biology 17
    • Gene expression and cancer classification 11
    • Bioinformatics and Genomic Networks 7
    • Molecular Biology Techniques and Applications 4
    • RNA modifications and cancer 3
  • Cancer Research 5
    • Cancer-related molecular mechanisms research 3
Co-authors
Murtada Khalafallah Elbashir Elfaki (14 shared papers)Henry Godwell Mwambi (9 shared papers)Bernard Omolo (5 shared papers)Innocent B. Mboya (3 shared papers)Mohamed M. Ezz (3 shared papers)Joseph Obure (1 shared paper)Absalom El-Shamir Ezugwu (2 shared papers)Michael Johnson Mahande (1 shared paper)
Journals
Scientific Reports (6 papers)Frontiers in Public Health (2 papers)Applied Sciences (2 papers)IEEE Access (2 papers)BMC Public Health (2 papers)
Partner nations
South AfricaSaudi ArabiaUnited States

In The Last Decade

Mohanad Mohammed

22 papers receiving 381 citations

Peers

Mohanad Mohammed
Comparison fields: 5 of 92
  • Health Information Management 21
  • Artificial Intelligence 122
  • Health Informatics 5
  • Radiology, Nuclear Medicine and Imaging 62
  • Cancer Research 37
Replace Saifun Nahar with:
Saifun Nahar United States
Mitra Montazeri Iran
Luca Cappelletti Italy
Vincent Peter C. Magboo Philippines
Mogana Darshini Ganggayah Malaysia
Tommaso Fontana Italy
Mariana T. Rezende Brazil
Yingping Li China
Heming Yao United States
Mohanad Mohammed relative to Saifun Nahar United States Saifun Nahar's profile →
Citations per field
00.5×2×4×5.2×
Saifun Nahar · 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 21 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 25 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 Godwell Mwambi, Innocent B. Mboya, Murtada Khalafallah Elbashir Elfaki, Bernard Omolo
2021102
2
Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data
IEEE Access ·Murtada Khalafallah Elbashir Elfaki, Mohamed M. Ezz, Mohanad Mohammed, Said S. Saloum
201957
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 Godwell Mwambi
202034
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 El-Shamir Ezugwu, Jean Vincent Fonou-Dombeu, Abiodun Motunrayo Ikotun, Mohanad Mohammed
202330
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
202224
6
Using stacking ensemble for microarray-based cancer classification
Mohanad Mohammed, Henry Godwell Mwambi, Bernard Omolo, Murtada Khalafallah Elbashir Elfaki
201823
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 Godwell Mwambi, Murtada Khalafallah Elbashir Elfaki, Bernard Omolo
202118
8
Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification
IEEE Access ·Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada Khalafallah Elbashir Elfaki, Mohanad Mohammed
202516
9
Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction Network
Applied Sciences ·Murtada Khalafallah Elbashir Elfaki, Mohanad Mohammed, Henry Godwell Mwambi, Bernard Omolo
202314
10
Colorectal Cancer Classification and Survival Analysis Based on an Integrated RNA and DNA Molecular Signature
Current Bioinformatics ·Mohanad Mohammed, Henry Godwell Mwambi, Bernard Omolo
202010
11
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
20229
12
LASSO–MOGAT: a multi-omics graph attention framework for cancer classification
arXiv (Cornell University) ·Fadi Alharbi, Aleksandar Vakanski, Murtada Khalafallah Elbashir Elfaki, Mohanad Mohammed
20248
13
Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network
Diagnostics ·Murtada Khalafallah Elbashir Elfaki, Abdullah Almotilag, Mahmood A. Mahmood, Mohanad Mohammed
20248
14
A novel feature selection algorithm for identifying hub genes in lung cancer
Scientific Reports ·Tehnan I. A. Mohamed, Absalom El-Shamir Ezugwu, Jean Vincent Fonou-Dombeu, Mohanad Mohammed, Japie Greeff, Murtada Khalafallah Elbashir Elfaki
20237
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 Nokubonga Mchunu, Halima S. Twabi, Jesca Mercy Batidzirai, Geoffrey Chiyuzga Singini, Portia Nevhungoni
20257
16
Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data
Scientific Reports ·Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada Khalafallah Elbashir Elfaki, Harshith Guduru, Mohanad Mohammed
20256
17
An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network
Applied Sciences ·Saleh Naif Almuayqil, Murtada Khalafallah Elbashir Elfaki, Mohamed M. Ezz, Mohanad Mohammed, Ayman Mohamed Mostafa, Meshrif Alruily, Eslam Hamouda
20235
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
20235
19
Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniques
Scientific Reports ·Sarah Ogutu, Mohanad Mohammed, Henry Godwell Mwambi
20244
20
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

About Mohanad Mohammed

Mohanad Mohammed is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 25 papers that have together received 391 indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (7 papers), AI in cancer detection (5 papers), Molecular Biology Techniques and Applications (4 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (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 (21 citations), Artificial Intelligence (122 citations), Health Informatics (5 citations), Radiology, Nuclear Medicine and Imaging (62 citations) and Cancer Research (37 citations). Mohanad Mohammed has collaborated with scholars based in South Africa, Saudi Arabia and United States. Frequent co-authors include Murtada Khalafallah Elbashir Elfaki, Henry Godwell Mwambi, Bernard Omolo, Innocent B. Mboya, Mohamed M. Ezz, Joseph Obure, Absalom El-Shamir Ezugwu, Michael Johnson Mahande, Aleksandar Vakanski and Abiodun Motunrayo Ikotun. Their work appears in journals such as Scientific Reports, Frontiers in Public Health, Applied Sciences, IEEE Access and BMC Public Health.

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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