A Self-Healing Oxygen-Evolving Catalyst

515 indexed citations

Abstract

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This paper, published in 2009, received 515 indexed citations. Written by Daniel A. Lutterman, Yogesh Surendranath and Daniel G. Nocera covering the research area of Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. It is primarily cited by scholars working on Renewable Energy, Sustainability and the Environment (477 citations), Electrical and Electronic Engineering (257 citations) and Materials Chemistry (193 citations). Published in Journal of the American Chemical Society.

Countries where authors are citing A Self-Healing Oxygen-Evolving Catalyst

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This map shows the geographic impact of A Self-Healing Oxygen-Evolving Catalyst. 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 A Self-Healing Oxygen-Evolving Catalyst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Self-Healing Oxygen-Evolving Catalyst more than expected).

Fields of papers citing A Self-Healing Oxygen-Evolving Catalyst

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A Self-Healing Oxygen-Evolving Catalyst. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Self-Healing Oxygen-Evolving Catalyst.

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/ja900023k.

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