Two-dimensional materials in biomedical, biosensing and sensing applications

383 indexed citations

Abstract

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About

This paper, published in 2020, received 383 indexed citations. Written by Nasuha Rohaizad, Carmen C. Mayorga‐Martinez, Michaela Fojtů, Naziah Mohamad Latiff and Martin Pumera covering the research area of Materials Chemistry and Biomedical Engineering. It is primarily cited by scholars working on Materials Chemistry (246 citations), Biomedical Engineering (178 citations) and Electrical and Electronic Engineering (110 citations). Published in Chemical Society Reviews.

Countries where authors are citing Two-dimensional materials in biomedical, biosensing and sensing applications

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Citations

This map shows the geographic impact of Two-dimensional materials in biomedical, biosensing and sensing applications. 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 Two-dimensional materials in biomedical, biosensing and sensing applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Two-dimensional materials in biomedical, biosensing and sensing applications more than expected).

Fields of papers citing Two-dimensional materials in biomedical, biosensing and sensing applications

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Two-dimensional materials in biomedical, biosensing and sensing applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Two-dimensional materials in biomedical, biosensing and sensing applications.

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/10.1039/d0cs00150c.

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