Daniel J. Phillips
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications 5
- Pharmaceutical Science top 2%
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery 4
- biodegradable polymer synthesis and properties 3
- Surfaces, Coatings and Films top 5%
- Polymer Surface Interaction Studies 7
- Organic Chemistry top 5%
- Advanced Polymer Synthesis and Characterization 10
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- Acute Ischemic Stroke Management 3
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- SARS-CoV-2 and COVID-19 Research 2
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- Molecular Sensors and Ion Detection 2
- Co-authors
- Matthew I. GibsonJames MannSamuel R. PygallJoan F. BrenneckeRachel K. O’ReillyGemma‐Louise DaviesMuhammad HasanNga Sze Ieong
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Daniel J. Phillips
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Molecular Medicine 113
- Pharmaceutical Science 137
- Biomaterials 289
- Surfaces, Coatings and Films 123
- Organic Chemistry 408
Countries citing papers authored by Daniel J. Phillips
This map shows the geographic impact of Daniel J. Phillips'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 J. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Phillips more than expected).
Fields of papers citing papers by Daniel J. Phillips
This network shows the impact of papers produced by Daniel J. Phillips. 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 J. Phillips. The network helps show where Daniel J. Phillips may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Phillips, 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 | 2024 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 32 | |
| 8 | 2017 | 74 | |
| 9 | 2017 | 8 | |
| 10 | 2015 | 42 | |
| 11 | 2014 | 22 | |
| 12 | 2014 | 23 | |
| 13 | 2013 | 71 | |
| 14 | 2012 | 28 | |
| 15 | 2011 | 70 | |
| 16 | 2010 | 1 | |
| 17 | 2010 | 17 | |
| 18 | 2002 | 10 | |
| 19 | 2000 | 8 | |
| 20 | 1998 | 3 |
About Daniel J. Phillips
Daniel J. Phillips is a scholar working on Molecular Medicine, Surfaces, Coatings and Films, Filtration and Separation, Health Informatics and Organic Chemistry, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (10 papers), Polymer Surface Interaction Studies (7 papers), Hydrogels: synthesis, properties, applications (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Acute Ischemic Stroke Management (3 papers), biodegradable polymer synthesis and properties (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Molecular Medicine (113 citations), Pharmaceutical Science (137 citations), Biomaterials (289 citations), Surfaces, Coatings and Films (123 citations) and Organic Chemistry (408 citations). Daniel J. Phillips has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Matthew I. Gibson, James Mann, Samuel R. Pygall, Joan F. Brennecke, Rachel K. O’Reilly, Gemma‐Louise Davies, Muhammad Hasan, Nga Sze Ieong, Matthew J. Summers and Helen R. Thomas. Their work appears in journals such as Polymer Chemistry, Biomacromolecules, Chemical Communications, Industrial & Engineering Chemistry Research and Journal of Materials Chemistry B.
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.