Edward Hurley
Impact in
- Developmental Neuroscience top 10%
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Extracellular vesicles in disease
- Lipid Membrane Structure and Behavior
Papers in
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- Signaling Pathways in Disease 4
- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 3
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- Hereditary Neurological Disorders 4
- Nerve injury and regeneration 4
- Co-authors
- Patrick Ross (2 shared papers)Marek Langner (2 shared papers)Y.L. Zhao (2 shared papers)S.W. Hui (1 shared paper)Lawrence Wrabetz (8 shared papers)Yun Wu (1 shared paper)Hans Minderman (1 shared paper)Shin La Shu (1 shared paper)
- Journals
- Nature Communications (2 papers)Glia (2 papers)iScience (1 paper)Nature Methods (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Edward Hurley
23 papers receiving 762 citations
Peers
Comparison fields: 5 of 95
- Developmental Neuroscience 48
- Molecular Biology 499
- Immunology 149
- Cancer Research 105
- Cellular and Molecular Neuroscience 94
Countries citing papers authored by Edward Hurley
This map shows the geographic impact of Edward Hurley'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 Hurley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Hurley more than expected).
Fields of papers citing papers by Edward Hurley
This network shows the impact of papers produced by Edward Hurley. 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 Hurley. The network helps show where Edward Hurley may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Hurley, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 227 | |
| 2 | 2019 | 134 | |
| 3 | 1992 | 126 | |
| 4 | 2017 | 49 | |
| 5 | 2015 | 36 | |
| 6 | 2015 | 29 | |
| 7 | 2021 | 27 | |
| 8 | 2005 | 19 | |
| 9 | 2021 | 15 | |
| 10 | 2017 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 1994 | 12 | |
| 13 | 1983 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 1992 | 7 | |
| 19 | 2021 | 4 | |
| 20 | 1991 | 4 |
About Edward Hurley
Edward Hurley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Immunology, having authored 23 papers that have together received 771 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (4 papers), Nerve injury and regeneration (4 papers), Signaling Pathways in Disease (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Virus-based gene therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Developmental Neuroscience (48 citations), Molecular Biology (499 citations), Immunology (149 citations), Cancer Research (105 citations) and Cellular and Molecular Neuroscience (94 citations). Edward Hurley has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Patrick Ross, Marek Langner, Y.L. Zhao, S.W. Hui, Lawrence Wrabetz, Yun Wu, Hans Minderman, Shin La Shu, Kaity Tung and Yunchen Yang. Their work appears in journals such as Nature Communications, Glia, iScience, Nature Methods and Journal of Leukocyte 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.