A density-independent rigidity transition in biological tissues
- Journal
- Nature Physics
In The Last Decade
doi.org/10.1038/nphys3471 →Countries where authors are citing A density-independent rigidity transition in biological tissues
This map shows the geographic impact of A density-independent rigidity transition in biological tissues. 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 A density-independent rigidity transition in biological tissues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A density-independent rigidity transition in biological tissues more than expected).
Fields of papers citing A density-independent rigidity transition in biological tissues
This network shows the impact of A density-independent rigidity transition in biological tissues. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A density-independent rigidity transition in biological tissues.
About A density-independent rigidity transition in biological tissues
This paper, published in 2015, received 514 indexed citations . Written by Dapeng Bi, Jorge H. Lopez, J. M. Schwarz and M. Lisa Manning covering the research area of Ecology, Evolution, Behavior and Systematics, Cell Biology and Condensed Matter Physics. It is primarily cited by scholars working on Cell Biology (366 citations), Biomedical Engineering (254 citations) and Condensed Matter Physics (122 citations). Published in Nature Physics.
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/nphys3471.