J. Salk
Cancer Research · with Loeb · 2010–2018
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Cancer Research — 37 citations into it; #1,007 of 1,780 by trust here, #1,358 by citations
Whom J. Salk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter J. A. Cock
- Michael W. Schmitt
- Philip Green
- Aaron M. Newman
- ENCODEConsortium
- Jay Shendure
- S. Lynch
Who trusts J. Salk overall
- Franka J. Rang
- Nicholas McGranahan
- Charles Swanton
- J. Cantor
- Niko Beerenwinkel
- Wigard P. Kloosterman
- Benjamin Beck
Papers from J. Salk's perspective
Ordered by how strongly the researchers J. Salk trusts endorse each paper. Same corpus, a different order for every researcher.
- Detection and quantification of rare mutations with massively parallel sequencing (Proceedings of the National Academy of Sciences of the United States of America)
- Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer (Science Translational Medicine)
- Integrated digital error suppression for improved detection of circulating tumor DNA (Nature Biotechnology)
- Noninvasive diagnosis of fetal aneuploidy by shotgun sequencing DNA from maternal blood (Proceedings of the National Academy of Sciences of the United States of America)
- High-Throughput Droplet Digital PCR System for Absolute Quantitation of DNA Copy Number (Analytical Chemistry)
- Tumour evolution inferred by single-cell sequencing (Nature)
- PD-1 blockade induces responses by inhibiting adaptive immune resistance (Nature)
- Tracking the Evolution of Non‐Small‐Cell Lung Cancer (New England Journal of Medicine)
- Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer (Science Translational Medicine)
- Massively parallel functional dissection of mammalian enhancers in vivo
Their papers
- Enhancing the accuracy of next-generation sequencing for detecting rare and subclonal mutations (2018) — 463 citations
- Detection of ultra-rare mutations by next-generation sequencing (2012) — 980 citations
- Clonal evolution in cancer (2010) — 1,500 citations