Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering
Countries where authors are citing Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering
This map shows the geographic impact of Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering. 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 Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering more than expected).
Fields of papers citing Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering
This network shows the impact of Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering.
About Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering
This paper, published in 2007, received 960 indexed citations . Written by Pau Bernadó, Efstratios Mylonas, Maxim V. Petoukhov, Martin Blackledge and Dmitri I. Svergun covering the research area of Molecular Biology and Materials Chemistry. It is primarily cited by scholars working on Molecular Biology (777 citations), Materials Chemistry (387 citations) and Spectroscopy (126 citations). Published in Journal of the American Chemical Society.
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/ja069124n.