Smart, soft contact lens for wireless immunosensing of cortisol

Abstract

About

This paper, published in 1950, received 221 indexed citations. Written by Minjae Ku, Joohee Kim, Jong‐Eun Won, Young‐Geun Park, Jihun Park, Jae‐Hyun Lee, Jinwoo Cheon, Hyun Ho Lee and Jang‐Ung Park covering the research area of Civil and Structural Engineering, Biomedical Engineering and Public Health, Environmental and Occupational Health. It is primarily cited by scholars working on Biomedical Engineering (136 citations), Electrical and Electronic Engineering (77 citations) and Public Health, Environmental and Occupational Health (42 citations). Published in Science Advances.

In The Last Decade

doi.org/10.1126/sciadv.abb2891 →

Countries where authors are citing Smart, soft contact lens for wireless immunosensing of cortisol

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Citations

This map shows the geographic impact of Smart, soft contact lens for wireless immunosensing of cortisol. 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 Smart, soft contact lens for wireless immunosensing of cortisol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smart, soft contact lens for wireless immunosensing of cortisol more than expected).

Fields of papers citing Smart, soft contact lens for wireless immunosensing of cortisol

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Smart, soft contact lens for wireless immunosensing of cortisol. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Smart, soft contact lens for wireless immunosensing of cortisol.

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/10.1126/sciadv.abb2891.

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