High transconductance organic electrochemical transistors

701 indexed citations
published 2013

Countries where authors are citing High transconductance organic electrochemical transistors

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Citations

This map shows the geographic impact of High transconductance organic electrochemical transistors. 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 High transconductance organic electrochemical transistors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites High transconductance organic electrochemical transistors more than expected).

Fields of papers citing High transconductance organic electrochemical transistors

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of High transconductance organic electrochemical transistors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the High transconductance organic electrochemical transistors.

About High transconductance organic electrochemical transistors

This paper, published in 2013, received 701 indexed citations . Written by Dion Khodagholy, Jonathan Rivnay, Michele Sessolo, Moshe Gurfinkel, P. Leleux, Leslie H. Jimison, Eleni Stavrinidou, Thierry Hervé, Sébastien Sanaur and Róisı́n M. Owens covering the research area of Polymers and Plastics, Bioengineering and Electrical and Electronic Engineering. It is primarily cited by scholars working on Polymers and Plastics (575 citations), Electrical and Electronic Engineering (513 citations) and Biomedical Engineering (292 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/ncomms3133.

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