Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf
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doi.org/10.1002/pro.4582 →Countries where authors are citing Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf
This map shows the geographic impact of Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf. 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 Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf more than expected).
Fields of papers citing Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf
This network shows the impact of Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf.
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/10.1002/pro.4582.