Automated protein model building combined with iterative structure refinement.
- Journal
- Nature Structural Biology
In The Last Decade
doi.org/10.1038/8263 →Countries where authors are citing Automated protein model building combined with iterative structure refinement.
This map shows the geographic impact of Automated protein model building combined with iterative structure refinement.. 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 Automated protein model building combined with iterative structure refinement. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Automated protein model building combined with iterative structure refinement. more than expected).
Fields of papers citing Automated protein model building combined with iterative structure refinement.
This network shows the impact of Automated protein model building combined with iterative structure refinement.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Automated protein model building combined with iterative structure refinement..
About Automated protein model building combined with iterative structure refinement.
This paper, published in 1999, received 2.3k indexed citations . Written by Anastassis Perrakis, Richard J. Morris and Victor S. Lamzin covering the research area of Molecular Biology, Materials Chemistry and Structural Biology. It is primarily cited by scholars working on Molecular Biology (1.7k citations), Materials Chemistry (749 citations) and Genetics (300 citations). Published in Nature Structural Biology.
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/10.1038/8263.