Daniel J. Phillips

10.8k citations
42 papers · 1.2k · h-index 21

Impact in

Papers in

Daniel J. Phillips

39 papers receiving 1.1k citations

Peers

Daniel J. Phillips
Comparison fields: 5 of 121
  • Molecular Medicine 118
  • Pharmaceutical Science 139
  • Biomaterials 293
  • Surfaces, Coatings and Films 124
  • Organic Chemistry 421
Replace Gaetano Mangiapia with:
Gaetano Mangiapia Italy
Beatrice Cattoz United Kingdom
Najet Mahmoudi United Kingdom
Joachim Storsberg Germany
Erik Jan Cornel China
Elizabeth G. Kelley United States
Stanislav Rangelov Bulgaria
Shouhong Xu China
Anja Traeger Germany
Antje Vollrath Germany
Daniel J. Phillips relative to Gaetano Mangiapia Italy Gaetano Mangiapia's profile →
Citations per field
00.5×2.8×
Gaetano Mangiapia · 1×
Citations per year

Countries citing papers authored by Daniel J. Phillips

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel J. Phillips Line = papers co-authored together Daniel J. Phillips links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012176
2 201287
3 201776
4 201376
5 201175
6 201265
7 201249
8 201446
9 201544
10 202234
11 199333
12 201330
13 201229
14 201427
15 201426
16 201626
17 201925
18 201624
19 201424
20 201224

About Daniel J. Phillips

Daniel J. Phillips is a scholar working on Organic Chemistry, Materials Chemistry, Surfaces, Coatings and Films, Molecular Medicine and Biomaterials, having authored 42 papers that have together received 1.2k 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 (3 papers), Acute Ischemic Stroke Management (3 papers), biodegradable polymer synthesis and properties (3 papers), Surfactants and Colloidal Systems (2 papers) and Crystallography and molecular interactions (2 papers). The work is most often cited by research in Molecular Medicine (118 citations), Pharmaceutical Science (139 citations), Biomaterials (293 citations), Surfaces, Coatings and Films (124 citations) and Organic Chemistry (421 citations). Daniel J. Phillips has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Matthew I. Gibson, Samuel R. Pygall, James Mann, Rachel K. O’Reilly, Joan F. Brennecke, Gemma‐Louise Davies, Muhammad Hasan, Nga Sze Ieong, Matthew J. Summers and Neil R. Wilson. Their work appears in journals such as Polymer Chemistry, Biomacromolecules, Journal of Materials Chemistry B, Industrial & Engineering Chemistry Research and Chemical Communications.

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.

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