Edward J. Sayers
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 14
- Advanced biosensing and bioanalysis techniques 11
- Lipid Membrane Structure and Behavior 2
-
- Antimicrobial Peptides and Activities 5
- Co-authors
- Arwyn T. Jones (25 shared papers)Peter Watson (8 shared papers)Lin He (2 shared papers)Yu‐Hsuan Tsai (4 shared papers)Louis Y. P. Luk (2 shared papers)Sanjay G. Patel (2 shared papers)Rohan Narayan (1 shared paper)Rudolf K. Allemann (1 shared paper)
- Journals
- Molecular Therapy (3 papers)Pharmaceutics (3 papers)Scientific Reports (2 papers)Journal of Controlled Release (2 papers)Nanoscale (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Edward J. Sayers
26 papers receiving 970 citations
Peers
Comparison fields: 5 of 87
- Microbiology 124
- Biomaterials 165
- Molecular Biology 710
- Immunology 106
- Immunology and Allergy 27
Countries citing papers authored by Edward J. Sayers
This map shows the geographic impact of Edward J. Sayers'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 Edward J. Sayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Sayers more than expected).
Fields of papers citing papers by Edward J. Sayers
This network shows the impact of papers produced by Edward J. Sayers. 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 Edward J. Sayers. The network helps show where Edward J. Sayers may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward J. Sayers, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 208 | |
| 2 | 2012 | 205 | |
| 3 | 2015 | 99 | |
| 4 | 2019 | 90 | |
| 5 | 2017 | 77 | |
| 6 | 2020 | 40 | |
| 7 | 2015 | 29 | |
| 8 | 2018 | 28 | |
| 9 | 2014 | 27 | |
| 10 | 2019 | 25 | |
| 11 | 2011 | 21 | |
| 12 | 2015 | 20 | |
| 13 | 2023 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2018 | 15 | |
| 16 | 2022 | 13 | |
| 17 | 2019 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2020 | 8 | |
| 20 | 2020 | 7 |
About Edward J. Sayers
Edward J. Sayers is a scholar working on Molecular Biology, Microbiology, Biomaterials, Biomedical Engineering and Genetics, having authored 27 papers that have together received 980 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (14 papers), Advanced biosensing and bioanalysis techniques (11 papers), Antimicrobial Peptides and Activities (5 papers), Nanoplatforms for cancer theranostics (3 papers), Virus-based gene therapy research (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Microbiology (124 citations), Biomaterials (165 citations), Molecular Biology (710 citations), Immunology (106 citations) and Immunology and Allergy (27 citations). Edward J. Sayers has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Arwyn T. Jones, Peter Watson, Lin He, Yu‐Hsuan Tsai, Louis Y. P. Luk, Sanjay G. Patel, Rohan Narayan, Rudolf K. Allemann, Thomas L. Williams and Paul Moody. Their work appears in journals such as Molecular Therapy, Pharmaceutics, Scientific Reports, Journal of Controlled Release and Nanoscale.
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.