Abeer Eshra
Impact in
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- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
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- Biosensors and Analytical Detection
Papers in
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- Advanced biosensing and bioanalysis techniques 7
- DNA and Biological Computing 5
- DNA and Nucleic Acid Chemistry 3
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- Biosensors and Analytical Detection 3
- Nanopore and Nanochannel Transport Studies 1
- Co-authors
- John H. Reif (5 shared papers)Tianqi Song (4 shared papers)Shalin Shah (3 shared papers)Reem Mokhtar (3 shared papers)Hieu Bui (3 shared papers)Daniel Fu (2 shared papers)Ming Yang (2 shared papers)Sudhanshu Garg (2 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Journal of the American Chemical Society (1 paper)RSC Advances (1 paper)ACS Nano (1 paper)Nucleosides Nucleotides & Nucleic Acids (1 paper)
- Partner nations
- EgyptUnited StatesIreland
In The Last Decade
Abeer Eshra
6 papers receiving 344 citations
Peers
Comparison fields: 5 of 28
- Molecular Biology 335
- Biomedical Engineering 105
- Computational Theory and Mathematics 23
- Electrical and Electronic Engineering 54
- Ecology 24
Countries citing papers authored by Abeer Eshra
This map shows the geographic impact of Abeer Eshra'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 Abeer Eshra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abeer Eshra more than expected).
Fields of papers citing papers by Abeer Eshra
This network shows the impact of papers produced by Abeer Eshra. 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 Abeer Eshra. The network helps show where Abeer Eshra may publish in the future.
Co-authors
The 17 scholars most cited alongside Abeer Eshra, 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 | 2019 | 186 | |
| 2 | 2019 | 50 | |
| 3 | 2018 | 45 | |
| 4 | 2017 | 33 | |
| 5 | 2019 | 28 | |
| 6 | 2014 | 6 | |
| 7 | 2024 | 0 | |
| 8 | 2021 | 0 |
About Abeer Eshra
Abeer Eshra is a scholar working on Molecular Biology, Biomedical Engineering, Signal Processing, Computational Theory and Mathematics and Transportation, having authored 8 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), DNA and Biological Computing (5 papers), Biosensors and Analytical Detection (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Quantum-Dot Cellular Automata (1 paper), Molecular Junctions and Nanostructures (1 paper), Data Management and Algorithms (1 paper) and Nanopore and Nanochannel Transport Studies (1 paper). The work is most often cited by research in Molecular Biology (335 citations), Biomedical Engineering (105 citations), Computational Theory and Mathematics (23 citations), Electrical and Electronic Engineering (54 citations) and Ecology (24 citations). Abeer Eshra has collaborated with scholars based in Egypt, United States and Ireland. Frequent co-authors include John H. Reif, Tianqi Song, Shalin Shah, Reem Mokhtar, Hieu Bui, Daniel Fu, Ming Yang, Sudhanshu Garg, Xin Song and Chris Dwyer. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of the American Chemical Society, RSC Advances, ACS Nano and Nucleosides Nucleotides & Nucleic Acids.
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.