Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets
- Journal
- ACS Nano
In The Last Decade
doi.org/10.1021/nn203115u →Countries where authors are citing Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets
This map shows the geographic impact of Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets. 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 Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets more than expected).
Fields of papers citing Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets
This network shows the impact of Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets.
About Compression and Aggregation-Resistant Particles of Crumpled Soft Sheets
This paper, published in 2011, received 471 indexed citations . Written by Jiayan Luo, Hee Dong Jang, Tao Sun, Xiao Li, Zhen He, Alexandros P. Katsoulidis, Mercouri G. Kanatzidis, J. M. Gibson and Jiaxing Huang covering the research area of Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. It is primarily cited by scholars working on Materials Chemistry (300 citations), Electrical and Electronic Engineering (205 citations) and Electronic, Optical and Magnetic Materials (190 citations). Published in ACS Nano.
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/nn203115u.