Jean Hausser

Molecular Biology · 2008–2014

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 114 citations into it; #2,120 of 17,773 by trust here, #3,473 by citations
• Cancer Research — 76 citations into it
• Genetics — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Statistics and Probability — 6 citations into it

Whom Jean Hausser trusts overall

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

1. Juliane Schäfer
2. Irving John Good
3. John K. Kruschke
4. Bradley Efron
5. David Freedman
6. Korbinian Strimmer
7. Frank Tuyl
8. Patrick E. Meyer
9. Atul J. Butte
10. Carl N. Morris

Who trusts Jean Hausser overall

1. Jiantao Jiao
2. Jonathan Friedman
3. A. Chao
4. Margaret E. Roberts
5. Thalia E. Chan
6. Kartik Venkat
7. Gaurav Pandey
8. Eric J. Alm
9. Yanjun Han
10. Y. Wang

Papers from Jean Hausser's perspective

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

1. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.
2. MicroRNA targeting specificity in mammals: determinants beyond seed pairing. (Molecules and Cells)
3. High-dimensional graphs and variable selection with the Lasso
4. A mammalian microRNA expression atlas based on small RNA library sequencing. (Cell)
5. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs (Nature)
6. Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks. (Proceedings of the National Academy of Sciences of the United States of America)
7. Information Theory, Inference, and Learning Algorithms
8. Widespread changes in protein synthesis induced by microRNAs (Nature)
9. Most mammalian mRNAs are conserved targets of microRNAs. (Genome Research)
10. Inferring Cellular Networks Using Probabilistic Graphical Models

Their papers

• Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP (2010) — 2,917 citations
• A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins (2011) — 468 citations
• Identification and consequences of miRNA–target interactions — beyond repression of gene expression (2014) — 608 citations
• Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks (2008) — 416 citations
• miR-375 maintains normal pancreatic α- and β-cell mass (2009) — 719 citations
• MicroRNAs 103 and 107 regulate insulin sensitivity (2011) — 1,006 citations