Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy

244 indexed citations
published 2022

Countries where authors are citing Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy

Specialization
Citations

This map shows the geographic impact of Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy. 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 Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy more than expected).

Fields of papers citing Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy.

About Near-infrared (NIR) fluorescence-emitting small organic molecules for cancer imaging and therapy

This paper, published in 2022, received 244 indexed citations . Written by Hui Li, Yujun Kim, Ji Young Hyun and Injae Shin covering the research area of Organic Chemistry, Materials Chemistry and Biomedical Engineering. It is primarily cited by scholars working on Materials Chemistry (143 citations), Biomedical Engineering (143 citations) and Molecular Biology (57 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/d2cs00722c.

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