New Thermally Remendable Highly Cross-Linked Polymeric Materials
- Journal
- Macromolecules
In The Last Decade
doi.org/10.1021/ma0210675 →Countries where authors are citing New Thermally Remendable Highly Cross-Linked Polymeric Materials
This map shows the geographic impact of New Thermally Remendable Highly Cross-Linked Polymeric Materials. 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 New Thermally Remendable Highly Cross-Linked Polymeric Materials with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites New Thermally Remendable Highly Cross-Linked Polymeric Materials more than expected).
Fields of papers citing New Thermally Remendable Highly Cross-Linked Polymeric Materials
This network shows the impact of New Thermally Remendable Highly Cross-Linked Polymeric Materials. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the New Thermally Remendable Highly Cross-Linked Polymeric Materials.
About New Thermally Remendable Highly Cross-Linked Polymeric Materials
This paper, published in 2003, received 544 indexed citations . Written by Fred Wudl, Ajit Mal, Hongbin Shen and Steven Nutt covering the research area of Organic Chemistry and Polymers and Plastics. It is primarily cited by scholars working on Polymers and Plastics (473 citations), Organic Chemistry (292 citations) and Materials Chemistry (110 citations). Published in Macromolecules.
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.
This paper is also available at doi.org/10.1021/ma0210675.