Kyle Kai-How Farh
Molecular Biology · 2005–2019
A researcher in the Science corpus: 8 papers; trusts 10 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 214 citations into it; #1,674 of 17,773 by trust here, #1,334 by citations
- Genetics — 128 citations into it
- Cancer Research — 103 citations into it; #117 of 1,780 by trust here, #144 by citations
- Plant Science — 34 citations into it
Whom Kyle Kai-How Farh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Benjamin P. Lewis
- David P. Bartel
- Lee P. Lim
- J. Brennecke
- J. Ruby
- Andrew Grimson
- Alexander Stark
- C. Burge
- Antonio J. Giráldez
- Ziheng Yang
Who trusts Kyle Kai-How Farh overall
- David P. Bartel
- Danish H Sayed
- Charles E. Vejnar
- Vikram Agarwal
- Chanseok Shin
- Margaret S. Ebert
- Scott M. Hammond
- M. Abdellatif
- Eugene Berezikov
- Jin-Wu Nam
Papers from Kyle Kai-How Farh's perspective
Ordered by how strongly the researchers Kyle Kai-How Farh trusts endorse each paper. Same corpus, a different order for every researcher.
- The microRNAs of Caenorhabditis elegans. (Genes & Development)
- Specificity of microRNA target selection in translational repression. (Genes & Development)
- Self-assembly of mesoscopically ordered chromatic polydiacetylene/silica nanocomposites (Nature)
- Cleavage of Scarecrow-like mRNA Targets Directed by a Class of Arabidopsis miRNA (Science)
- MicroRNA-Directed Cleavage of HOXB8 mRNA (Science)
- A microRNA controlling left/right neuronal asymmetry in Caenorhabditis elegans (Nature)
- Zebrafish MiR-430 Promotes Deadenylation and Clearance of Maternal mRNAs (Science)
- The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution (Science)
- A mammalian microRNA expression atlas based on small RNA library sequencing. (Cell)
- Aligning multiple genomic sequences with the threaded blockset aligner. (Genome Research)
Their papers
- MicroRNA targeting specificity in mammals: determinants beyond seed pairing. (2007) — 4,010 citations
- The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution (2005) — 1,490 citations
- Most mammalian mRNAs are conserved targets of microRNAs. (2008) — 8,637 citations
- Predicting Splicing from Primary Sequence with Deep Learning. (2019) — 2,423 citations
- Expanding the MicroRNA Targeting Code: Functional Sites with Centered Pairing (2010) — 647 citations
- Supplementary Information for Predicting the clinical impact of human mutation with deep neural networks (2018)
- Genomic Hallmarks and Structural Variation in Metastatic Prostate Cancer. (2018) — 653 citations
- Predicting the clinical impact of human mutation with deep neural networks (2018) — 44 citations