Sabry Razick
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Biomedical Text Mining and Ontologies
- Machine Learning in Bioinformatics
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 6
- Microbial Metabolic Engineering and Bioproduction 4
- Metabolomics and Mass Spectrometry Studies 2
- Biomedical Text Mining and Ontologies 2
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Ian Donaldson (4 shared papers)George Magklaras (1 shared paper)Andrei L. Turinsky (4 shared papers)Shoshana J. Wodak (4 shared papers)I.M.L. Donaldson (2 shared papers)Blair Turner (2 shared papers)Eun-Hee Cho (1 shared paper)Brian Turner (2 shared papers)
- Journals
- Database (3 papers)BMC Bioinformatics (2 papers)Methods in molecular biology (2 papers)Columbia Academic Commons (Columbia University) (1 paper)Bioinformatics Advances (1 paper)
- Partner nations
- NorwayCanadaUnited States
In The Last Decade
Sabry Razick
8 papers receiving 643 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 577
- Computational Theory and Mathematics 131
- Cancer Research 44
- Cell Biology 46
- Spectroscopy 46
Countries citing papers authored by Sabry Razick
This map shows the geographic impact of Sabry Razick'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 Sabry Razick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabry Razick more than expected).
Fields of papers citing papers by Sabry Razick
This network shows the impact of papers produced by Sabry Razick. 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 Sabry Razick. The network helps show where Sabry Razick may publish in the future.
Co-authors
The 25 scholars most cited alongside Sabry Razick, 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 | 2008 | 416 | |
| 2 | 2010 | 145 | |
| 3 | 2010 | 45 | |
| 4 | 2013 | 17 | |
| 5 | 2011 | 14 | |
| 6 | 2014 | 8 | |
| 7 | 2020 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2010 | 0 |
About Sabry Razick
Sabry Razick is a scholar working on Molecular Biology, Spectroscopy, Automotive Engineering, Information Systems and Information Systems and Management, having authored 10 papers that have together received 649 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Scientific Computing and Data Management (1 paper), BIM and Construction Integration (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Molecular Biology (577 citations), Computational Theory and Mathematics (131 citations), Cancer Research (44 citations), Cell Biology (46 citations) and Spectroscopy (46 citations). Sabry Razick has collaborated with scholars based in Norway, Canada and United States. Frequent co-authors include Ian Donaldson, George Magklaras, Andrei L. Turinsky, Shoshana J. Wodak, I.M.L. Donaldson, Blair Turner, Eun-Hee Cho, Brian Turner, Katerina Michalickova and Paul Boddie. Their work appears in journals such as Database, BMC Bioinformatics, Methods in molecular biology, Columbia Academic Commons (Columbia University) and Bioinformatics Advances.
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.