Philip Taynton
- Polymers and Plastics top 0.5%
- Organic Chemistry top 1%
- Materials Chemistry top 5%
- Biomaterials top 2%
- Biomedical Engineering top 5%
- Topics
- Polymer composites and self-healing (10 papers)Carbon dioxide utilization in catalysis (3 papers)Covalent Organic Framework Applications (3 papers)
- Partner nations
- United StatesSingaporeIreland
In The Last Decade
Philip Taynton
13 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Polymers and Plastics 2.0k
- Organic Chemistry 1.3k
- Materials Chemistry 761
- Biomaterials 578
- Biomedical Engineering 524
Countries citing papers authored by Philip Taynton
This map shows the geographic impact of Philip Taynton'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 Philip Taynton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Taynton more than expected).
Fields of papers citing papers by Philip Taynton
This network shows the impact of papers produced by Philip Taynton. 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 Philip Taynton. The network helps show where Philip Taynton may publish in the future.
Co-authorship network of co-authors of Philip Taynton
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Taynton. A scholar is included among the top collaborators of Philip Taynton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Taynton. Philip Taynton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 283 | |
| 4 | 37 | |
| 5 | 1 | |
| 6 | 137 | |
| 7 | Repairable Woven Carbon Fiber Composites with Full Recyclability Enabled by Malleable Polyimine Networksbreakdown → | 567 |
| 8 | Development of Polyimine-Based Dynamic Covalent Network: From Malleable Polymers to High-Performance Composites | 1 |
| 9 | 220 | |
| 10 | 192 | |
| 11 | Heat‐ or Water‐Driven Malleability in a Highly Recyclable Covalent Network Polymerbreakdown → | 745 |
| 12 | 151 | |
| 13 | Dynamic Covalent Chemistry Approaches Toward Macrocycles, Molecular Cages, and Polymersbreakdown → | 425 |
| 14 | 36 |
About Philip Taynton
Philip Taynton is a scholar working on Process Chemistry and Technology, Polymers and Plastics and Organic Chemistry, having authored 14 papers that have together received 2.8k indexed citations. Recurring topics across this work include Polymer composites and self-healing (10 papers), Carbon dioxide utilization in catalysis (3 papers) and Covalent Organic Framework Applications (3 papers). The work is most often cited by research in Polymers and Plastics (2.0k citations), Process Chemistry and Technology (340 citations) and Organic Chemistry (1.3k citations). Philip Taynton has collaborated with scholars based in United States, Singapore and Ireland. Frequent co-authors include Wei Zhang, Yinghua Jin, Kai Yu, H. Jerry Qi, R. L. Shoemaker, Qi Wang, Chengpu Zhu, Huagang Ni, Martin L. Dunn and Zepeng Lei. Their work appears in journals such as Advanced Materials, Accounts of Chemical Research and RSC Advances.
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.