Daniel E. Murphy
Impact in
- Molecular Biology top 5%
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Extracellular vesicles in disease 4
- RNA Interference and Gene Delivery 2
- Oncology 1
- CAR-T cell therapy research 1
- Co-authors
- Raymond Michel Schiffelers (5 shared papers)Pieter Vader (4 shared papers)Olivier G. de Jong (4 shared papers)Matthew J. A. Wood (2 shared papers)Grégory Lavieu (1 shared paper)Martijn J.W. Evers (3 shared papers)Sander A. A. Kooijmans (1 shared paper)Linglei Jiang (1 shared paper)
- Journals
- Experimental & Molecular Medicine (1 paper)Accounts of Chemical Research (1 paper)Nature Communications (1 paper)Nano Letters (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- NetherlandsUnited KingdomSweden
In The Last Decade
Daniel E. Murphy
5 papers receiving 1.3k citations
Daniel E. Murphy's Hit Papers
Peers
Comparison fields: 5 of 62
- Molecular Biology 1.1k
- Biomaterials 86
- Drug Discovery 1
- Rehabilitation 15
- Oncology 50
Countries citing papers authored by Daniel E. Murphy
This map shows the geographic impact of Daniel E. Murphy'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 Daniel E. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Murphy more than expected).
Fields of papers citing papers by Daniel E. Murphy
This network shows the impact of papers produced by Daniel E. Murphy. 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 Daniel E. Murphy. The network helps show where Daniel E. Murphy may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel E. Murphy, 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 | Extracellular vesicle-based therapeutics: natural versus engineered targeting and trafficking Hit paper breakdown → | 2019 | 620 |
| 2 | 2019 | 306 | |
| 3 | 2020 | 153 | |
| 4 | 2021 | 146 | |
| 5 | T cell-specific non-viral DNA delivery and in vivo CAR-T generation using targeted lipid nanoparticles Hit paper breakdown → | 2025 | 52 |
About Daniel E. Murphy
Daniel E. Murphy is a scholar working on Molecular Biology, Oncology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 5 papers that have together received 1.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), RNA Interference and Gene Delivery (2 papers) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Biomaterials (86 citations), Drug Discovery (1 citation), Rehabilitation (15 citations) and Oncology (50 citations). Daniel E. Murphy has collaborated with scholars based in Netherlands, United Kingdom and Sweden. Frequent co-authors include Raymond Michel Schiffelers, Pieter Vader, Olivier G. de Jong, Matthew J. A. Wood, Grégory Lavieu, Martijn J.W. Evers, Sander A. A. Kooijmans, Linglei Jiang, Joost P. G. Sluijter and Sander Christiaan Steenbeek. Their work appears in journals such as Experimental & Molecular Medicine, Accounts of Chemical Research, Nature Communications, Nano Letters and Journal for ImmunoTherapy of Cancer.
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.