Porous Graphene as the Ultimate Membrane for Gas Separation

Abstract

About

This paper, published in 1950, received 779 indexed citations. Written by De‐en Jiang, Valentino R. Cooper and Sheng Dai covering the research area of Materials Chemistry, Mechanical Engineering and Electrical and Electronic Engineering. It is primarily cited by scholars working on Materials Chemistry (670 citations), Biomedical Engineering (375 citations) and Mechanical Engineering (267 citations). Published in Nano Letters.

In The Last Decade

doi.org/10.1021/nl9021946 →

Countries where authors are citing Porous Graphene as the Ultimate Membrane for Gas Separation

Since Specialization

Citations

This map shows the geographic impact of Porous Graphene as the Ultimate Membrane for Gas Separation. 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 Porous Graphene as the Ultimate Membrane for Gas Separation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Porous Graphene as the Ultimate Membrane for Gas Separation more than expected).

Fields of papers citing Porous Graphene as the Ultimate Membrane for Gas Separation

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Porous Graphene as the Ultimate Membrane for Gas Separation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Porous Graphene as the Ultimate Membrane for Gas Separation.

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/nl9021946.

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