Improved method for high efficiency transformation of intact yeast cells
Impact in
- Molecular Biology 2.5k
- Plant Science 658
Classified as
- Journal
- Nucleic Acids Research
In The Last Decade
doi.org/10.1093/nar/20.6.1425 →Countries where authors are citing Improved method for high efficiency transformation of intact yeast cells
This map shows the geographic impact of Improved method for high efficiency transformation of intact yeast 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 Improved method for high efficiency transformation of intact yeast cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Improved method for high efficiency transformation of intact yeast cells more than expected).
Fields of papers citing Improved method for high efficiency transformation of intact yeast cells
This network shows the impact of Improved method for high efficiency transformation of intact yeast cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Improved method for high efficiency transformation of intact yeast cells.
About Improved method for high efficiency transformation of intact yeast cells
This paper, published in 1992, received 3.0k indexed citations . Written by Andrew St. Jean, Robin A. Woods and Robert H. Schiestl covering the research area of Biomedical Engineering and Molecular Biology. It is primarily cited by scholars working on Molecular Biology (2.5k citations), Plant Science (658 citations), Cell Biology (424 citations), Biomedical Engineering (200 citations) and Genetics (160 citations). Published in Nucleic Acids Research.
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/10.1093/nar/20.6.1425.