Alan Taylor
Impact in
-
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 3
- Tissue Engineering and Regenerative Medicine 3
- Cardiac and Coronary Surgery Techniques 1
-
- Electrospun Nanofibers in Biomedical Applications 3
- Co-authors
- Yi Hong (4 shared papers)Daniel J. Siegwart (1 shared paper)Di Zhang (1 shared paper)Tuo Wei (1 shared paper)Guoxun Wang (1 shared paper)Xueliang Yu (1 shared paper)Lindsay T. Johnson (1 shared paper)Lukas Farbiak (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (2 papers)Langmuir (1 paper)Human Genomics (1 paper)Clinical Chemistry (1 paper)Journal of Pediatric Surgery (1 paper)
- Partner nations
- United StatesUnited Arab EmiratesQatar
In The Last Decade
Alan Taylor
7 papers receiving 319 citations
Alan Taylor's Hit Papers
Peers
Comparison fields: 5 of 58
- Biomaterials 78
- Cell Biology 45
- Business and International Management 5
- Molecular Biology 147
- Immunology 42
Countries citing papers authored by Alan Taylor
This map shows the geographic impact of Alan Taylor'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 Alan Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Taylor more than expected).
Fields of papers citing papers by Alan Taylor
This network shows the impact of papers produced by Alan Taylor. 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 Alan Taylor. The network helps show where Alan Taylor may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Taylor, 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 | Enhancing CRISPR/Cas gene editing through modulating cellular mechanical properties for cancer therapy Hit paper breakdown → | 2022 | 195 |
| 2 | 2020 | 59 | |
| 3 | 1986 | 31 | |
| 4 | 1984 | 23 | |
| 5 | 2023 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About Alan Taylor
Alan Taylor is a scholar working on Surgery, Biomaterials, Genetics, Biomedical Engineering and Molecular Biology, having authored 9 papers that have together received 324 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Mycotoxins in Agriculture and Food (1 paper), Genomics and Rare Diseases (1 paper), Graphene and Nanomaterials Applications (1 paper), BRCA gene mutations in cancer (1 paper), Cardiac and Coronary Surgery Techniques (1 paper) and Essential Oils and Antimicrobial Activity (1 paper). The work is most often cited by research in Biomaterials (78 citations), Cell Biology (45 citations), Business and International Management (5 citations), Molecular Biology (147 citations) and Immunology (42 citations). Alan Taylor has collaborated with scholars based in United States, United Arab Emirates and Qatar. Frequent co-authors include Yi Hong, Daniel J. Siegwart, Di Zhang, Tuo Wei, Guoxun Wang, Xueliang Yu, Lindsay T. Johnson, Lukas Farbiak, Hao‐Jie Zhu and Jiazhu Xu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Langmuir, Human Genomics, Clinical Chemistry and Journal of Pediatric Surgery.
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.