Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals

625 indexed citations

Abstract

loading...

About

This paper, published in 2001, received 625 indexed citations. Written by Jean‐Paul Collin, Christiane Dietrich‐Buchecker, Pablo Gaviña, M. Consuelo Jiménez and Jean‐Pierre Sauvage covering the research area of Organic Chemistry, Molecular Biology and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Organic Chemistry (481 citations), Materials Chemistry (286 citations) and Spectroscopy (236 citations). Published in Accounts of Chemical Research.

Countries where authors are citing Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals

Specialization
Citations

This map shows the geographic impact of Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals. 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 Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals more than expected).

Fields of papers citing Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Shuttles and Muscles: Linear Molecular Machines Based on Transition Metals.

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/10.1021/ar0001766.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026