Countries where authors are citing Rapid electron transfer by the carbon matrix in natural pyrogenic carbon

Specialization
Citations

This map shows the geographic impact of Rapid electron transfer by the carbon matrix in natural pyrogenic carbon. 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 Rapid electron transfer by the carbon matrix in natural pyrogenic carbon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rapid electron transfer by the carbon matrix in natural pyrogenic carbon more than expected).

Fields of papers citing Rapid electron transfer by the carbon matrix in natural pyrogenic carbon

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Rapid electron transfer by the carbon matrix in natural pyrogenic carbon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Rapid electron transfer by the carbon matrix in natural pyrogenic carbon.

About Rapid electron transfer by the carbon matrix in natural pyrogenic carbon

This paper, published in 2017, received 512 indexed citations . Written by Tianran Sun, Barnaby D.A. Levin, Juan J. L. Guzman, Akio Enders, David A. Muller, Largus T. Angenent and Johannes Lehmann covering the research area of Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Environmental Engineering. It is primarily cited by scholars working on Environmental Engineering (160 citations), Water Science and Technology (142 citations) and Biomedical Engineering (132 citations). Published in Nature Communications.

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/10.1038/ncomms14873.

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