Universal sample preparation method for proteome analysis
Impact in
- Molecular Biology 3.5k
- Spectroscopy 1.3k
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.1322 →Countries where authors are citing Universal sample preparation method for proteome analysis
This map shows the geographic impact of Universal sample preparation method for proteome analysis. 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 Universal sample preparation method for proteome analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universal sample preparation method for proteome analysis more than expected).
Fields of papers citing Universal sample preparation method for proteome analysis
This network shows the impact of Universal sample preparation method for proteome analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Universal sample preparation method for proteome analysis.
About Universal sample preparation method for proteome analysis
This paper, published in 2009, received 6.4k indexed citations . Written by Jacek R. Wiśniewski, Alexandre Zougman, Nagarjuna Nagaraj and Matthias Mann covering the research area of Molecular Biology and Spectroscopy. It is primarily cited by scholars working on Molecular Biology (3.5k citations), Spectroscopy (1.3k citations), Plant Science (545 citations), Immunology (543 citations) and Cell Biology (447 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.1322.