Optical nano-agents in the second near-infrared window for biomedical applications
- Journal
- Chemical Society Reviews
In The Last Decade
doi.org/10.1039/c8cs00494c →Countries where authors are citing Optical nano-agents in the second near-infrared window for biomedical applications
This map shows the geographic impact of Optical nano-agents in the second near-infrared window for biomedical 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 Optical nano-agents in the second near-infrared window for biomedical applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Optical nano-agents in the second near-infrared window for biomedical applications more than expected).
Fields of papers citing Optical nano-agents in the second near-infrared window for biomedical applications
This network shows the impact of Optical nano-agents in the second near-infrared window for biomedical applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Optical nano-agents in the second near-infrared window for biomedical applications.
About Optical nano-agents in the second near-infrared window for biomedical applications
This paper, published in 2018, received 522 indexed citations . Written by Yu Cai, Wei Zheng, Chuanhui Song, Chuanchao Tang, Wei Han and Xiaochen Dong covering the research area of Materials Chemistry and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (384 citations), Materials Chemistry (321 citations) and Molecular Biology (105 citations). Published in Chemical Society Reviews.
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/c8cs00494c.