o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science
- Journal
- Macromolecules
In The Last Decade
doi.org/10.1021/ma201924h →Countries where authors are citing o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science
This map shows the geographic impact of o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science. 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 o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science more than expected).
Fields of papers citing o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science
This network shows the impact of o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science.
About o-Nitrobenzyl Alcohol Derivatives: Opportunities in Polymer and Materials Science
This paper, published in 2012, received 479 indexed citations . Written by Hui Zhao, Elizabeth S. Sterner, E. Bryan Coughlin and Patrick Théato covering the research area of Organic Chemistry, Materials Chemistry and Biomedical Engineering. It is primarily cited by scholars working on Organic Chemistry (273 citations), Materials Chemistry (247 citations) and Biomedical Engineering (150 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/ma201924h.