Stable-Isotope Dimethyl Labeling for Quantitative Proteomics

568 indexed citations

Abstract

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This paper, published in 2003, received 568 indexed citations. Written by Jue‐Liang Hsu, Sheng‐Yu Huang, Nan-Haw Chow and Shu‐Hui Chen covering the research area of Molecular Biology and Spectroscopy. It is primarily cited by scholars working on Molecular Biology (441 citations), Spectroscopy (366 citations) and Oncology (56 citations). Published in Analytical Chemistry.

Countries where authors are citing Stable-Isotope Dimethyl Labeling for Quantitative Proteomics

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Citations

This map shows the geographic impact of Stable-Isotope Dimethyl Labeling for Quantitative Proteomics. 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 Stable-Isotope Dimethyl Labeling for Quantitative Proteomics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stable-Isotope Dimethyl Labeling for Quantitative Proteomics more than expected).

Fields of papers citing Stable-Isotope Dimethyl Labeling for Quantitative Proteomics

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Stable-Isotope Dimethyl Labeling for Quantitative Proteomics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Stable-Isotope Dimethyl Labeling for Quantitative Proteomics.

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/10.1021/ac0348625.

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