Rickard Sandberg

Molecular Biology · Nature Biotechnology · 2005–2020

A researcher in the Science corpus: 19 papers; trusts 9 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 220 citations into it; #858 of 17,773 by trust here, #566 by citations
• Genetics — 30 citations into it

Whom Rickard Sandberg trusts overall

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

1. S. Picelli
2. Douglas L. Black
3. Eric T. Wang
4. Arjun Raj
5. Christine Mayr

Who trusts Rickard Sandberg overall

1. Matthias Farlik
2. Christine Mayr
3. Bríd Ryan
4. Oliver Stegle
5. Daniel Ramsköld
6. Nathan C. Sheffield
7. N. Proudfoot
8. Kenneth M. Yamada
9. David P. Bartel
10. Eugene Berezikov

Papers from Rickard Sandberg's perspective

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

1. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
2. Alternative Isoform Regulation in Human Tissue Transcriptomes (Nature)
3. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
4. Genome-wide maps of chromatin state in pluripotent and lineage-committed cells (Nature)
5. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals (Nature)
6. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
7. Stem cell transcriptome profiling via massive-scale mRNA sequencing (Nature Methods)
8. [Serial analysis of gene expression]. (Yi chuan = Hereditas)
9. Mechanisms of alternative pre-messenger RNA splicing. (Annual Review of Biochemistry)
10. Adjusting batch effects in microarray expression data using empirical Bayes methods. (Biostatistics)

Their papers

• Alternative Isoform Regulation in Human Tissue Transcriptomes (2008) — 5,160 citations
• Smart-seq2 for sensitive full-length transcriptome profiling in single cells (2013) — 2,236 citations
• Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells (2014) — 1,266 citations
• Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells (2012) — 1,537 citations
• Full-length RNA-seq from single cells using Smart-seq2 (2014) — 3,760 citations
• An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data (2009) — 883 citations
• Proliferating Cells Express mRNAs with Shortened 3' Untranslated Regions and Fewer MicroRNA Target Sites (2008) — 1,389 citations
• Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos (2016) — 997 citations
• Benchmarking single-cell RNA-sequencing protocols for cell atlas projects (2020) — 413 citations
• Tn5 transposase and tagmentation procedures for massively scaled sequencing projects (2014) — 810 citations
• Entering the era of single-cell transcriptomics in biology and medicine (2013) — 231 citations
• Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq (2015) — 570 citations
• CTCF-promoted RNA polymerase II pausing links DNA methylation to splicing (2011) — 1,006 citations
• Identification of spatial expression trends in single-cell gene expression data (2018) — 299 citations
• Gene expression perturbation in vitro--a growing case for three-dimensional (3D) culture systems. (2005) — 604 citations
• The molecular anatomy of mouse skin during hair growth and rest (2019) — 103 citations
• Single-cell RNA counting at allele and isoform resolution using Smart-seq3 (2019) — 592 citations
• Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes (2016) — 1,332 citations
• Notch signaling: simplicity in design, versatility in function (2011) — 927 citations