Ayman El‐Sayed
Impact in
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Lipid Membrane Structure and Behavior
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
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- RNA Interference and Gene Delivery 6
- Glycosylation and Glycoproteins Research 3
- Biochemical and Structural Characterization 3
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Hideyoshi Harashima (7 shared papers)Shiroh Futaki (2 shared papers)Ikramy A. Khalil (2 shared papers)Kentaro Kogure (1 shared paper)Hidetaka Akita (4 shared papers)C. Ronald Geyer (12 shared papers)Humphrey Fonge (11 shared papers)Kris Barreto (12 shared papers)
In The Last Decade
Ayman El‐Sayed
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.0k
- Biomaterials 184
- Microbiology 75
- Genetics 190
- Transplantation 15
Countries citing papers authored by Ayman El‐Sayed
This map shows the geographic impact of Ayman El‐Sayed'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 Ayman El‐Sayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayman El‐Sayed more than expected).
Fields of papers citing papers by Ayman El‐Sayed
This network shows the impact of papers produced by Ayman El‐Sayed. 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 Ayman El‐Sayed. The network helps show where Ayman El‐Sayed may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayman El‐Sayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 418 | |
| 2 | 2013 | 293 | |
| 3 | 2008 | 172 | |
| 4 | 2013 | 93 | |
| 5 | 2009 | 64 | |
| 6 | 2018 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2017 | 28 | |
| 9 | 2016 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2017 | 22 | |
| 12 | 2015 | 19 | |
| 13 | Enhanced TCP Westwood Congestion Avoidance Mechanism (TCP WestwoodNew) | 2012 | 18 |
| 14 | 2019 | 16 | |
| 15 | 2017 | 15 | |
| 16 | 2015 | 15 | |
| 17 | 2011 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2019 | 11 | |
| 20 | 2020 | 10 |
About Ayman El‐Sayed
Ayman El‐Sayed is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Oncology and Immunology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), RNA Interference and Gene Delivery (6 papers), HER2/EGFR in Cancer Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Biochemical and Structural Characterization (3 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Biomaterials (184 citations), Microbiology (75 citations), Genetics (190 citations) and Transplantation (15 citations). Ayman El‐Sayed has collaborated with scholars based in Canada, Egypt and Japan. Frequent co-authors include Hideyoshi Harashima, Shiroh Futaki, Ikramy A. Khalil, Kentaro Kogure, Hidetaka Akita, C. Ronald Geyer, Humphrey Fonge, Kris Barreto, Wendy Bernhard and Tomoya Masuda. Their work appears in journals such as ChemBioChem, Oncotarget, Theranostics, Scientific Reports and Molecular Imaging and Biology.
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.