Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces
- Journal
- Science Advances
In The Last Decade
doi.org/10.1126/sciadv.abe4553 →Countries where authors are citing Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces
This map shows the geographic impact of Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces. 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 Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces more than expected).
Fields of papers citing Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces
This network shows the impact of Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces.
About Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces
This paper, published in 2021, received 260 indexed citations . Written by Yingli Wang, Jingjing Wang, Xuan Luo, Lijuan Xie, Shijie Zhan, Jongmin Kim, Xiaozhi Wang, Xiangjiang Liu and Yibin Ying covering the research area of Cellular and Molecular Neuroscience, Safety Research and Signal Processing. It is primarily cited by scholars working on Biomedical Engineering (179 citations), Electronic, Optical and Magnetic Materials (120 citations) and Electrical and Electronic Engineering (56 citations). Published in Science Advances.
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.abe4553.