Mohanad Mohammed

488 total citations
16 papers, 299 citations indexed

About

Mohanad Mohammed is a scholar working on Molecular Biology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Mohanad Mohammed has authored 16 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Artificial Intelligence and 3 papers in General Health Professions. Recurrent topics in Mohanad Mohammed's work include Gene expression and cancer classification (6 papers), AI in cancer detection (4 papers) and Molecular Biology Techniques and Applications (3 papers). Mohanad Mohammed is often cited by papers focused on Gene expression and cancer classification (6 papers), AI in cancer detection (4 papers) and Molecular Biology Techniques and Applications (3 papers). Mohanad Mohammed collaborates with scholars based in South Africa, Sudan and Saudi Arabia. Mohanad Mohammed's 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 Innocent Maposa and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mohanad Mohammed

14 papers receiving 290 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohanad Mohammed South Africa 9 112 104 66 36 32 16 299
Giovanna Nicora Italy 9 79 0.7× 167 1.6× 46 0.7× 57 1.6× 30 0.9× 35 434
Gen Li United States 14 56 0.5× 161 1.5× 46 0.7× 13 0.4× 16 0.5× 40 389
Mahdieh Montazeri Iran 7 106 0.9× 46 0.4× 81 1.2× 26 0.7× 21 0.7× 25 293
Zherui Liu China 7 85 0.8× 65 0.6× 70 1.1× 12 0.3× 31 1.0× 11 380
Arturo López Pineda United States 8 129 1.2× 82 0.8× 57 0.9× 37 1.0× 27 0.8× 16 366
W. Scott Campbell United States 10 133 1.2× 71 0.7× 47 0.7× 23 0.6× 22 0.7× 25 299
Lin Guo China 13 98 0.9× 116 1.1× 159 2.4× 11 0.3× 56 1.8× 57 542
Xiaowei Xu China 10 61 0.5× 38 0.4× 40 0.6× 18 0.5× 33 1.0× 34 435
Maheswari Mukherjee United States 11 114 1.0× 36 0.3× 58 0.9× 8 0.2× 23 0.7× 33 286
Paul C. Pearlman United States 8 50 0.4× 33 0.3× 61 0.9× 14 0.4× 27 0.8× 21 310

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-authorship network of co-authors of Mohanad Mohammed

This figure shows the co-authorship network connecting the top 25 collaborators of Mohanad Mohammed. A scholar is included among the top collaborators of Mohanad Mohammed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohanad Mohammed. Mohanad Mohammed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
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Mohammed, Mohanad, et al.. (2024). Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniques. Scientific Reports. 14(1). 29895–29895. 3 indexed citations
4.
Elbashir, Murtada K., Mohanad Mohammed, Henry Mwambi, & Bernard Omolo. (2023). Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction Network. Applied Sciences. 13(4). 2403–2403. 13 indexed citations
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Ezugwu, Absalom E., et al.. (2023). A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data. Scientific Reports. 13(1). 14644–14644. 21 indexed citations
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Ezugwu, Absalom E., et al.. (2023). A novel feature selection algorithm for identifying hub genes in lung cancer. Scientific Reports. 13(1). 21671–21671. 5 indexed citations
8.
Almuayqil, Saleh Naif, et al.. (2023). An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network. Applied Sciences. 13(19). 10919–10919. 4 indexed citations
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Musekiwa, Alfred, Maureen Moyo, Mohanad Mohammed, et al.. (2022). Mapping Evidence on the Burden of Breast, Cervical, and Prostate Cancers in Sub-Saharan Africa: A Scoping Review. Frontiers in Public Health. 10. 908302–908302. 8 indexed citations
10.
Musekiwa, Alfred, Mohanad Mohammed, Zvifadzo Matsena Zingoni, et al.. (2022). 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. 22(1). 1281–1281. 20 indexed citations
11.
Mohammed, Mohanad, Innocent B. Mboya, Henry Mwambi, Murtada K. Elbashir, & Bernard Omolo. (2021). Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data. PLoS ONE. 16(12). e0261625–e0261625. 17 indexed citations
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Mohammed, Mohanad, Henry Mwambi, Innocent B. Mboya, Murtada K. Elbashir, & Bernard Omolo. (2021). A stacking ensemble deep learning approach to cancer type classification based on TCGA data. Scientific Reports. 11(1). 15626–15626. 92 indexed citations
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Mboya, Innocent B., Michael Johnson Mahande, Mohanad Mohammed, Joseph Obure, & Henry Mwambi. (2020). Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania. BMJ Open. 10(10). e040132–e040132. 33 indexed citations
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Mohammed, Mohanad, Henry Mwambi, & Bernard Omolo. (2020). Colorectal Cancer Classification and Survival Analysis Based on an Integrated RNA and DNA Molecular Signature. Current Bioinformatics. 16(4). 583–600. 10 indexed citations
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Elbashir, Murtada K., et al.. (2019). Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data. IEEE Access. 7. 185338–185348. 51 indexed citations
16.
Mohammed, Mohanad, Henry Mwambi, Bernard Omolo, & Murtada K. Elbashir. (2018). Using stacking ensemble for microarray-based cancer classification. 1–8. 20 indexed citations

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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