Ayat Hatem
Impact in
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- Ruminant Nutrition and Digestive Physiology
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- Enzyme Production and Characterization
Papers in
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- Gene expression and cancer classification 3
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 2
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- Algorithms and Data Compression 2
- Artificial Intelligence in Games 1
- Co-authors
- Ümit V. Çatalyürek (6 shared papers)Doruk Bozdağ (3 shared papers)Amanda E. Toland (1 shared paper)Mark Morrison (1 shared paper)Lingling Wang (1 shared paper)Zhongtang Yu (1 shared paper)Mohamed A. Wahby Shalaby (1 shared paper)Ahmed Hefny (1 shared paper)
- Journals
- BMC Bioinformatics (1 paper)PLoS ONE (1 paper)International Journal of Advanced Research (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (1 paper)OhioLink ETD Center (Ohio Library and Information Network) (1 paper)
- Partner nations
- United StatesEgyptHungary
In The Last Decade
Ayat Hatem
10 papers receiving 255 citations
Peers
Comparison fields: 5 of 61
- Agronomy and Crop Science 34
- Biotechnology 24
- Molecular Biology 149
- Cancer Research 21
- Genetics 35
Countries citing papers authored by Ayat Hatem
This map shows the geographic impact of Ayat Hatem'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 Ayat Hatem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayat Hatem more than expected).
Fields of papers citing papers by Ayat Hatem
This network shows the impact of papers produced by Ayat Hatem. 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 Ayat Hatem. The network helps show where Ayat Hatem may publish in the future.
Co-authors
The 14 scholars most cited alongside Ayat Hatem, 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 | 2013 | 136 | |
| 2 | 2013 | 95 | |
| 3 | 2015 | 7 | |
| 4 | 2008 | 6 | |
| 5 | 2011 | 5 | |
| 6 | 2010 | 4 | |
| 7 | Active Module Discovery: Integrated Approaches of Gene Co-Expression and PPI Networks and MicroRNA Data | 2014 | 1 |
| 8 | 2012 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2015 | 1 |
About Ayat Hatem
Ayat Hatem is a scholar working on Molecular Biology, Artificial Intelligence, Physiology, Plant Science and General Agricultural and Biological Sciences, having authored 10 papers that have together received 257 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (2 papers), Algorithms and Data Compression (2 papers), Magnetic and Electromagnetic Effects (2 papers), Artificial Intelligence in Games (1 paper), Insect Utilization and Effects (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Agronomy and Crop Science (34 citations), Biotechnology (24 citations), Molecular Biology (149 citations), Cancer Research (21 citations) and Genetics (35 citations). Ayat Hatem has collaborated with scholars based in United States, Egypt and Hungary. Frequent co-authors include Ümit V. Çatalyürek, Doruk Bozdağ, Amanda E. Toland, Mark Morrison, Lingling Wang, Zhongtang Yu, Mohamed A. Wahby Shalaby, Ahmed Hefny, Amir F. Atiya and Mohamed Eweis. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, International Journal of Advanced Research, Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment and OhioLink ETD Center (Ohio Library and Information Network).
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.