An auxin-based degron system for the rapid depletion of proteins in nonplant cells
Impact in
- Molecular Biology 1.1k
- Cell Biology 285
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.1401 →Countries where authors are citing An auxin-based degron system for the rapid depletion of proteins in nonplant cells
This map shows the geographic impact of An auxin-based degron system for the rapid depletion of proteins in nonplant cells. 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 An auxin-based degron system for the rapid depletion of proteins in nonplant cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An auxin-based degron system for the rapid depletion of proteins in nonplant cells more than expected).
Fields of papers citing An auxin-based degron system for the rapid depletion of proteins in nonplant cells
This network shows the impact of An auxin-based degron system for the rapid depletion of proteins in nonplant cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the An auxin-based degron system for the rapid depletion of proteins in nonplant cells.
About An auxin-based degron system for the rapid depletion of proteins in nonplant cells
This paper, published in 2009, received 1.2k indexed citations . Written by Kohei Nishimura, Tatsuo Fukagawa, Haruhiko Takisawa, Tatsuo Kakimoto and Masato T. Kanemaki covering the research area of Molecular Biology and Plant Science. It is primarily cited by scholars working on Molecular Biology (1.1k citations), Cell Biology (285 citations), Plant Science (215 citations), Oncology (86 citations) and Genetics (80 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.1401.