Enzyme-powered Janus platelet cell robots for active and targeted drug delivery

337 indexed citations

Abstract

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This paper, published in 2020, received 337 indexed citations. Written by Songsong Tang, Fangyu Zhang, Hua Gong, Fanan Wei, Jia Zhuang, Emil Karshalev, Berta Esteban‐Fernández de Ávila, Chuying Huang, Zhidong Zhou and Zhengxing Li covering the research area of Genetics, Materials Chemistry and Condensed Matter Physics. It is primarily cited by scholars working on Condensed Matter Physics (244 citations), Biomedical Engineering (240 citations) and Mechanical Engineering (70 citations). Published in Science Robotics.

Countries where authors are citing Enzyme-powered Janus platelet cell robots for active and targeted drug delivery

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This map shows the geographic impact of Enzyme-powered Janus platelet cell robots for active and targeted drug delivery. 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 Enzyme-powered Janus platelet cell robots for active and targeted drug delivery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enzyme-powered Janus platelet cell robots for active and targeted drug delivery more than expected).

Fields of papers citing Enzyme-powered Janus platelet cell robots for active and targeted drug delivery

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Enzyme-powered Janus platelet cell robots for active and targeted drug delivery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Enzyme-powered Janus platelet cell robots for active and targeted drug delivery.

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/scirobotics.aba6137.

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