S. Gorski

Molecular Biology · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 78 citations into it; #7,279 of 17,773 by trust here, #10,695 by citations
• Cancer Research — 18 citations into it; #540 of 1,780 by trust here, #1,332 by citations

Whom S. Gorski trusts overall

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

1. Michael L. Metzker
2. Zhong Wang
3. S. Picelli
4. V. Pelechano

Who trusts S. Gorski overall

1. Rhonda L. Bacher
2. Wei Vivian Li
3. Chen Xu

Papers from S. Gorski's perspective

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

1. Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
2. Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
3. The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing (Science)
4. Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells (Nature Structural &Molecular Biology)
5. Full-length RNA-seq from single cells using Smart-seq2 (Nature Protocols)
6. A single-molecule long-read survey of the human transcriptome (Nature Biotechnology)
7. mRNA-Seq whole-transcriptome analysis of a single cell (Nature Methods)
8. Quantitative single-cell RNA-seq with unique molecular identifiers (Nature Methods)
9. Counting absolute numbers of molecules using unique molecular identifiers (Nature Methods)
10. Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells (Science)

Their papers

• Dual RNA-seq of pathogen and host (2012) — 680 citations
• Single-cell RNA-seq: advances and future challenges (2014) — 800 citations