Mohanad Mohammed

488 citations
16 papers · 299 · h-index 9

Impact in

Papers in

Co-authors
Murtada K. Elbashir (7 shared papers)Henry Mwambi (9 shared papers)Bernard Omolo (5 shared papers)Innocent B. Mboya (3 shared papers)Mohamed Ezz (2 shared papers)Michael Johnson Mahande (1 shared paper)Joseph Obure (1 shared paper)Absalom E. Ezugwu (2 shared papers)
Journals
Scientific Reports (4 papers)Applied Sciences (2 papers)Frontiers in Public Health (2 papers)BMC Public Health (2 papers)BMJ Open (1 paper)
Partner nations
South AfricaSaudi ArabiaSudan

In The Last Decade

Mohanad Mohammed

14 papers receiving 290 citations

Peers

Mohanad Mohammed
Comparison fields: 5 of 89
  • Health Informatics 5
  • Health Information Management 17
  • Artificial Intelligence 112
  • Radiology, Nuclear Medicine and Imaging 66
  • Cancer Research 36
Replace Elham Nazari with:
Elham Nazari Iran
Rongpin Wang China
Nasrin Ahmadinejad Iran
Weilun Wang China
W. Scott Campbell United States
Mitra Montazeri Iran
Chun-Hsien Chen Taiwan
Mahdieh Montazeri Iran
Akram Mohammed United States
Paul C. Pearlman United States
Mohanad Mohammed relative to Elham Nazari Iran Elham Nazari's profile →
Citations per field
00.5×1.5×2×2.3×
Elham Nazari · 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 15 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

16 of 16 papers shown
#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
202192
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
201951
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
202321
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
202220
6
Using stacking ensemble for microarray-based cancer classification
Mohanad Mohammed, Henry Mwambi, Bernard Omolo, Murtada K. Elbashir
201820
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
202117
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
202313
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
20228
11
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
20235
12
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
13
Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniques
Scientific Reports ·Sarah Ogutu, Mohanad Mohammed, Henry Mwambi
20243
14
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
20232
15
Deep learning models for the analysis of high-dimensional survival data with time-varying covariates while handling missing data
Discover Artificial Intelligence ·Sarah Ogutu, Mohanad Mohammed, Henry Mwambi
20250
16
Investigating the effects of cytokine biomarkers on HIV incidence: a case study for individuals randomized to pre-exposure prophylaxis vs. control
Frontiers in Public Health ·Sarah Ogutu, Mohanad Mohammed, Henry Mwambi
20240

About Mohanad Mohammed

Mohanad Mohammed is a scholar working on Molecular Biology, Artificial Intelligence, General Health Professions, Oncology and Cancer Research, having authored 16 papers that have together received 299 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), AI in cancer detection (4 papers), Molecular Biology Techniques and Applications (3 papers), HIV Research and Treatment (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Genetic factors in colorectal cancer (2 papers), HIV/AIDS Research and Interventions (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). The work is most often cited by research in Health Informatics (5 citations), Health Information Management (17 citations), Artificial Intelligence (112 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Cancer Research (36 citations). Mohanad Mohammed has collaborated with scholars based in South Africa, Saudi Arabia and Sudan. Frequent co-authors include Murtada K. Elbashir, Henry Mwambi, Bernard Omolo, Innocent B. Mboya, Mohamed Ezz, Michael Johnson Mahande, Joseph Obure, Absalom E. Ezugwu, Abiodun M. Ikotun and Innocent Maposa. Their work appears in journals such as Scientific Reports, Applied Sciences, Frontiers in Public Health, BMC Public Health and BMJ Open.

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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