Practical innovations for high-throughput amplicon sequencing
Impact in
- Plant Science 354
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.2634 →Countries where authors are citing Practical innovations for high-throughput amplicon sequencing
This map shows the geographic impact of Practical innovations for high-throughput amplicon sequencing. 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 Practical innovations for high-throughput amplicon sequencing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Practical innovations for high-throughput amplicon sequencing more than expected).
Fields of papers citing Practical innovations for high-throughput amplicon sequencing
This network shows the impact of Practical innovations for high-throughput amplicon sequencing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Practical innovations for high-throughput amplicon sequencing.
About Practical innovations for high-throughput amplicon sequencing
This paper, published in 2013, received 695 indexed citations . Written by Derek S. Lundberg, Scott Yourstone, Piotr A. Mieczkowski, Corbin D. Jones and Jeffery L. Dangl covering the research area of Molecular Biology and Ecology. It is primarily cited by scholars working on Plant Science (354 citations), Molecular Biology (211 citations), Ecology (170 citations), Cell Biology (110 citations) and Ecology, Evolution, Behavior and Systematics (51 citations). Published in Nature Methods.
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.2634.