Soft micromachines with programmable motility and morphology
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms12263 →Countries where authors are citing Soft micromachines with programmable motility and morphology
This map shows the geographic impact of Soft micromachines with programmable motility and morphology. 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 Soft micromachines with programmable motility and morphology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soft micromachines with programmable motility and morphology more than expected).
Fields of papers citing Soft micromachines with programmable motility and morphology
This network shows the impact of Soft micromachines with programmable motility and morphology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Soft micromachines with programmable motility and morphology.
About Soft micromachines with programmable motility and morphology
This paper, published in 2016, received 563 indexed citations . Written by Hen‐Wei Huang, Mahmut Selman Sakar, Andrew J. Petruska, Salvador Pané and Bradley J. Nelson covering the research area of Condensed Matter Physics and Mechanical Engineering. It is primarily cited by scholars working on Condensed Matter Physics (410 citations), Mechanical Engineering (410 citations) and Biomedical Engineering (380 citations). Published in Nature Communications.
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/10.1038/ncomms12263.