Eyal Mozes
Impact in
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- Cancer Genomics and Diagnostics
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Gene Regulatory Network Analysis
Papers in
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- Genomics and Phylogenetic Studies 3
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 1
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Félix Sanchez-Garcia (2 shared papers)Uri David Akavia (2 shared papers)Dana Pe’er (3 shared papers)Panisa Pochanard (1 shared paper)Helen C. Causton (1 shared paper)Jessica Kim (2 shared papers)Oren Litvin (2 shared papers)Dylan Kotliar (2 shared papers)
- Journals
- BMC Bioinformatics (1 paper)Journal of Molecular Evolution (1 paper)Cancer Research (1 paper)Genome biology (1 paper)Cell (1 paper)
- Partner nations
- United States
In The Last Decade
Eyal Mozes
5 papers receiving 523 citations
Eyal Mozes's Hit Papers
Peers
Comparison fields: 5 of 82
- Cancer Research 129
- Molecular Biology 363
- Genetics 78
- Cell Biology 35
- Biophysics 8
Countries citing papers authored by Eyal Mozes
This map shows the geographic impact of Eyal Mozes'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 Eyal Mozes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyal Mozes more than expected).
Fields of papers citing papers by Eyal Mozes
This network shows the impact of papers produced by Eyal Mozes. 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 Eyal Mozes. The network helps show where Eyal Mozes may publish in the future.
Co-authors
The 25 scholars most cited alongside Eyal Mozes, 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 | 2010 | 360 | |
| 2 | Rapid and sensitive detection of genome contamination at scale with FCS-GX Hit paper breakdown → | 2024 | 124 |
| 3 | 2010 | 36 | |
| 4 | 2024 | 6 | |
| 5 | 2009 | 2 | |
| 6 | 2025 | 0 |
About Eyal Mozes
Eyal Mozes is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Ecology and Biophysics, having authored 6 papers that have together received 528 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (1 paper), Gene expression and cancer classification (1 paper), Bacteriophages and microbial interactions (1 paper), Bioinformatics and Genomic Networks (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Cancer Research (129 citations), Molecular Biology (363 citations), Genetics (78 citations), Cell Biology (35 citations) and Biophysics (8 citations). Eyal Mozes has collaborated with scholars based in United States. Frequent co-authors include Félix Sanchez-Garcia, Uri David Akavia, Dana Pe’er, Panisa Pochanard, Helen C. Causton, Jessica Kim, Oren Litvin, Dylan Kotliar, Levi A. Garraway and Terence D. Murphy. Their work appears in journals such as BMC Bioinformatics, Journal of Molecular Evolution, Cancer Research, Genome biology and Cell.
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.