Roded Sharan

Molecular Biology · 2000–2018

A researcher in the Science corpus: 21 papers; trusts 113 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 384 citations into it; #1,104 of 17,773 by trust here, #1,857 by citations
• Computational Theory and Mathematics — 67 citations into it; #6,603 of 12,182 by trust here, #1,068 by citations
• Genetics — 60 citations into it
• Cell Biology — 39 citations into it
• Artificial Intelligence — 34 citations into it
• Computational Biology & Bioinformatics — 28 citations into it; #501 of 660 by trust here, #615 by citations
• Spectroscopy — 17 citations into it
• Statistical and Nonlinear Physics — 14 citations into it

Whom Roded Sharan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Trey Ideker
2. Ron Shamir
3. Jan van Leeuwen
4. Gary D. Bader
5. Sylvain Brohée
6. Amos Tanay
7. Anton J. Enright
8. Shinichiro Wachi
9. Debra S. Goldberg
10. Natasa Przulj

Who trusts Roded Sharan overall

1. Igor Ulitsky
2. Ron Shamir
3. Dongkuan Xu
4. Doulaye Dembélé
5. Roy Varshavsky
6. Oded Magger
7. Rui Xu
8. T. Murali
9. Ying-jie Tian
10. Philippe Kastner

Papers from Roded Sharan's perspective

Ordered by how strongly the researchers Roded Sharan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Comparative assessment of large-scale data sets of protein–protein interactions (Nature)
2. ImageNet classification with deep convolutional neural networks
3. A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gene Ontology: tool for the unification of biology
6. Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry (Nature)
7. Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae (Nature Genetics)
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Functional organization of the yeast proteome by systematic analysis of protein complexes (Nature)

Their papers

• Protein networks in disease. (2008) — 837 citations
• Network-based prediction of protein function (2007) — 1,086 citations
• Network propagation: a universal amplifier of genetic associations (2017) — 610 citations
• Metabolic-network-driven analysis of bacterial ecological strategies (2009) — 102 citations
• Associating Genes and Protein Complexes with Disease via Network Propagation (2010) — 838 citations
• PathBLAST: a tool for alignment of protein interaction networks (2004) — 420 citations
• PREDICT: a method for inferring novel drug indications with application to personalized medicine (2011) — 815 citations
• Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems (2016) — 77 citations
• Enhancing the Prioritization of Disease-Causing Genes through Tissue Specific Protein Interaction Networks (2012) — 164 citations
• Human protein interaction networks across tissues and diseases (2015) — 78 citations
• Using deep learning to model the hierarchical structure and function of a cell (2018) — 391 citations
• Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data. (2004) — 429 citations
• Genome-wide in silico identification of transcriptional regulators controlling the cell cycle in human cells. (2003) — 332 citations
• Modeling cellular machinery through biological network comparison (2006) — 569 citations
• Discovering statistically significant biclusters in gene expression data (2002) — 979 citations
• Efficient Algorithms for Detecting Signaling Pathways in Protein Interaction Networks (2005) — 300 citations
• CLICK and EXPANDER: a system for clustering and visualizing gene expression data (2003) — 395 citations
• Cluster graph modification problems (2002) — 386 citations
• Center CLICK: A Clustering Algorithm with Applications to Gene Expression Analysis (2000) — 353 citations
• CLICK: a clustering algorithm with applications to gene expression analysis. (2000) — 349 citations