A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics

2.0k indexed citations

Abstract

loading...

About

This paper, published in 2004, received 2.0k indexed citations. Written by Hongbin Liu, Rovshan G. Sadygov and John R. Yates covering the research area of Molecular Biology and Spectroscopy. It is primarily cited by scholars working on Molecular Biology (1.5k citations), Spectroscopy (1.0k citations) and Cell Biology (159 citations). Published in Analytical Chemistry.

Countries where authors are citing A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics

Specialization
Citations

This map shows the geographic impact of A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun 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 A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics more than expected).

Fields of papers citing A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun 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/ac0498563.

Explore hit-papers with similar magnitude of impact

Breakdown of academic impact, for the paper A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches Breakdown of academic impact, for the paper Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions Breakdown of academic impact, for the paper Diffusion Tensor Imaging of the Brain Breakdown of academic impact, for the paper Cyclooxygenase Regulates Angiogenesis Induced by Colon Cancer Cells Breakdown of academic impact, for the paper Heart rate variability: a review Breakdown of academic impact, for the paper The Concept of Law Breakdown of academic impact, for the paper Semantic priming and retrieval from lexical memory: Roles of inhibitionless spreading activation and limited-capacity attention. Breakdown of academic impact, for the paper The structure of proteins: Two hydrogen-bonded helical configurations of the polypeptide chain Breakdown of academic impact, for the paper Quality, satisfaction and behavioral intentions Breakdown of academic impact, for the paper A CLASSIFICATION OF HAND PREFERENCE BY ASSOCIATION ANALYSIS
Rankless by CCL
2026