Multiparametric imaging of biological systems by force-distance curve–based AFM
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.2602 →Countries where authors are citing Multiparametric imaging of biological systems by force-distance curve–based AFM
This map shows the geographic impact of Multiparametric imaging of biological systems by force-distance curve–based AFM. 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 Multiparametric imaging of biological systems by force-distance curve–based AFM with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multiparametric imaging of biological systems by force-distance curve–based AFM more than expected).
Fields of papers citing Multiparametric imaging of biological systems by force-distance curve–based AFM
This network shows the impact of Multiparametric imaging of biological systems by force-distance curve–based AFM. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multiparametric imaging of biological systems by force-distance curve–based AFM.
About Multiparametric imaging of biological systems by force-distance curve–based AFM
This paper, published in 2013, received 361 indexed citations . Written by Yves F. Dufrêne, David Martínez-Martín, Izhar Medalsy, David Alsteens and Daniel J. Müller covering the research area of Atomic and Molecular Physics, and Optics and Cell Biology. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (231 citations), Molecular Biology (125 citations), Biomedical Engineering (96 citations), Cell Biology (74 citations) and Electrical and Electronic Engineering (50 citations). Published in Nature Methods.
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/nmeth.2602.