Daniel J. Read

3.0k citations
83 papers · 2.4k · h-index 28

Impact in

Papers in

Daniel J. Read

80 papers receiving 2.4k citations

Peers

Daniel J. Read
Comparison fields: 5 of 91
  • Fluid Flow and Transfer Processes 1.5k
  • Polymers and Plastics 1.7k
  • Biomaterials 207
  • Organic Chemistry 367
  • Materials Chemistry 561
Replace M. Kapnistos with:
M. Kapnistos Greece
Sachin Shanbhag United States
A. Zirkel Germany
Kunihiro Osaki Japan
J. A. Odell United Kingdom
Sathish K. Sukumaran Japan
Alexei E. Likhtman United Kingdom
Christine M. Fernyhough United Kingdom
Charles W. Manke United States
Takashi Uneyama Japan
Daniel J. Read relative to M. Kapnistos Greece M. Kapnistos's profile →
Citations per field
00.5×
M. Kapnistos · 1×
Citations per year

Countries citing papers authored by Daniel J. Read

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Read'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. Read 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. Read more than expected).

Fields of papers citing papers by Daniel J. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Read. 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. Read. The network helps show where Daniel J. Read may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. Read, 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. Read Line = papers co-authored together Daniel J. Read links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999233
2 2006202
3 2011141
4 2003139
5 200984
6 200177
7 201377
8 202070
9 200864
10 201262
11 201854
12 201851
13 200350
14 200848
15 201347
16 200545
17 200641
18 199938
19 201834
20 201834

About Daniel J. Read

Daniel J. Read is a scholar working on Fluid Flow and Transfer Processes, Polymers and Plastics, Materials Chemistry, Biomedical Engineering and Molecular Biology, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (51 papers), Polymer crystallization and properties (45 papers), Material Dynamics and Properties (15 papers), Polymer Foaming and Composites (10 papers), Block Copolymer Self-Assembly (9 papers), Force Microscopy Techniques and Applications (8 papers), Phase Equilibria and Thermodynamics (6 papers) and Advanced Polymer Synthesis and Characterization (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.5k citations), Polymers and Plastics (1.7k citations), Biomaterials (207 citations), Organic Chemistry (367 citations) and Materials Chemistry (561 citations). Daniel J. Read has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Tom McLeish, Chinmay Das, Dietmar Auhl, Alexei E. Likhtman, Oliver G. Harlen, Mark A. Kelmanson, Nathanael J. Inkson, Kamakshi Jagannathan, David Groves and Pierre Chambon. Their work appears in journals such as Macromolecules, Journal of Rheology, Physical Review Letters, Physical review. E and Science.

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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