M Ibrahim
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Metabolomics and Mass Spectrometry Studies
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Machine Learning in Bioinformatics 2
- Genomics and Chromatin Dynamics 1
- Oncology 2
- Cancer Risks and Factors 1
- Co-authors
- Kenneth Langlands (5 shared papers)Michael A. Cawthorne (5 shared papers)Sabah Jassim (5 shared papers)Sachin Batra (1 shared paper)Bernard M. Schuman (1 shared paper)Federico Murgia (2 shared papers)Jemma C. Hopewell (2 shared papers)Francesco Viola (1 shared paper)
- Journals
- Hypertension (1 paper)Journal of Computational Biology (1 paper)PLoS Medicine (1 paper)Cancer Research (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
M Ibrahim
8 papers receiving 79 citations
Peers
Comparison fields: 5 of 34
- Molecular Biology 42
- Computational Theory and Mathematics 8
- Nephrology 3
- Biological Psychiatry 1
- Cancer Research 5
Countries citing papers authored by M Ibrahim
This map shows the geographic impact of M Ibrahim'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 M Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Ibrahim more than expected).
Fields of papers citing papers by M Ibrahim
This network shows the impact of papers produced by M Ibrahim. 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 M Ibrahim. The network helps show where M Ibrahim may publish in the future.
Co-authors
The 25 scholars most cited alongside M Ibrahim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 34 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 10 | |
| 4 | Fiberoptic sigmoidoscopy in screening pattern makers for colon cancer at their work place. | 1984 | 8 |
| 5 | 2014 | 6 | |
| 6 | 2011 | 3 | |
| 7 | 2011 | 2 | |
| 8 | 2018 | 1 | |
| 9 | 2012 | 0 |
About M Ibrahim
M Ibrahim is a scholar working on Molecular Biology, Oncology, Surgery, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 79 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Chromatin Dynamics (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Breast Cancer Treatment Studies (1 paper), Cancer Risks and Factors (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Molecular Biology (42 citations), Computational Theory and Mathematics (8 citations), Nephrology (3 citations), Biological Psychiatry (1 citation) and Cancer Research (5 citations). M Ibrahim has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Kenneth Langlands, Michael A. Cawthorne, Sabah Jassim, Sachin Batra, Bernard M. Schuman, Federico Murgia, Jemma C. Hopewell, Francesco Viola, Barbara Casadei and Martin Landray. Their work appears in journals such as Hypertension, Journal of Computational Biology, PLoS Medicine, Cancer Research and BMC Bioinformatics.
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.