scmap: projection of single-cell RNA-seq data across data sets
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doi.org/10.1038/nmeth.4644 →Countries where authors are citing scmap: projection of single-cell RNA-seq data across data sets
This map shows the geographic impact of scmap: projection of single-cell RNA-seq data across data sets. 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 scmap: projection of single-cell RNA-seq data across data sets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites scmap: projection of single-cell RNA-seq data across data sets more than expected).
Fields of papers citing scmap: projection of single-cell RNA-seq data across data sets
This network shows the impact of scmap: projection of single-cell RNA-seq data across data sets. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the scmap: projection of single-cell RNA-seq data across data sets.
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.4644.