Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores
- Journal
- ACS Nano
In The Last Decade
doi.org/10.1021/nn3021772 →Countries where authors are citing Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores
This map shows the geographic impact of Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores. 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 Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores more than expected).
Fields of papers citing Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores
This network shows the impact of Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores.
About Strong, Conductive, Lightweight, Neat Graphene Aerogel Fibers with Aligned Pores
This paper, published in 2012, received 609 indexed citations . Written by Zhen Xu, Yuan Zhang, Peigang Li and Chao Gao covering the research area of Electronic, Optical and Magnetic Materials and Materials Chemistry. It is primarily cited by scholars working on Electronic, Optical and Magnetic Materials (332 citations), Materials Chemistry (324 citations) and Biomedical Engineering (292 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/nn3021772.