Nevan J. Krogan
Molecular Biology · 2001–2021
A researcher in the Science corpus: 29 papers; trusts 25 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 459 citations into it; #4,455 of 17,773 by trust here, #543 by citations
- Spectroscopy — 57 citations into it
- Cell Biology — 39 citations into it
- Statistics and Probability — 8 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom Nevan J. Krogan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Trey Ideker
- Haiyuan Yu
- M. Sowa
- Nicholas M. Luscombe
- Gary D. Bader
- Trevor J. Hastie
- Maya Schuldiner
- Albert-László Barabási
- Sean R. Collins
- Zu-Wen Sun
Who trusts Nevan J. Krogan overall
- A. Shilatifard
- Tommaso Cai
- Trey Ideker
- Eric J. Wagner
- R. Sims
- Roded Sharan
- Alan J. Filipski
- Xiaoli Li
- Koyel Mitra
- Sean R. Collins
Papers from Nevan J. Krogan's perspective
Ordered by how strongly the researchers Nevan J. Krogan trusts endorse each paper. Same corpus, a different order for every researcher.
- A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)
- A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae (Nature)
- Global analysis of protein expression in yeast (Nature)
- Systematic Genetic Analysis with Ordered Arrays of Yeast Deletion Mutants (Science)
- Subcellular localization of the yeast proteome. (Genes & Development)
- A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data
- Global analysis of protein localization in budding yeast (Nature)
- MIPS: a database for genomes and protein sequences. (Nucleic Acids Research)
- The protein–protein interaction map of Helicobacter pylori (Nature)
- MIPS: analysis and annotation of proteins from whole genomes in 2005 (Nucleic Acids Res.)
Their papers
- Global landscape of protein complexes in the yeast Saccharomyces cerevisiae (2006) — 3,074 citations
- A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data (2003) — 1,283 citations
- The Paf1 complex is required for histone H3 methylation by COMPASS and Dot1p: linking transcriptional elongation to histone methylation. (2003) — 778 citations
- Toward a Comprehensive Atlas of the Physical Interactome of Saccharomyces cerevisiae*S (2007) — 817 citations
- Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems (2016) — 77 citations
- A SARS-CoV-2 Protein Interaction Map Reveals Targets for Drug-Repurposing (2020) — 3,895 citations
- COMPASS: A complex of proteins associated with a trithorax-related SET domain protein (2001) — 648 citations
- Methylation of Histone H3 by Set2 in Saccharomyces cerevisiae Is Linked to Transcriptional Elongation by RNA Polymerase II (2003) — 720 citations
- Global Mapping of the Yeast Genetic Interaction Network (2004) — 2,147 citations
- Differential network biology (2012) — 777 citations
- Cotranscriptional set2 methylation of histone H3 lysine 36 recruits a repressive Rpd3 complex. (2005) — 850 citations
- Interaction network containing conserved and essential protein complexes in Escherichia coli (2005) — 1,189 citations
- Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile. (2005) — 912 citations
- Conservation and Rewiring of Functional Modules Revealed by an Epistasis Map in Fission Yeast (2008) — 375 citations
- Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map (2007) — 934 citations
- Exploration of essential gene functions via titratable promoter alleles. (2004) — 650 citations
- A Snf2 family ATPase complex required for recruitment of the histone H2A variant Htz1. (2003) — 646 citations
- Navigating the chaperone network: an integrative map of physical and genetic interactions mediated by the hsp90 chaperone. (2005) — 855 citations
- A strategy for extracting and analyzing large-scale quantitative epistatic interaction data (2006) — 336 citations
- Meta- and Orthogonal Integration of Influenza “OMICs” Data Defines a Role for UBR4 in Virus Budding (2015) — 848 citations