Rong Fan

Molecular Biology · with Bai · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rong Fan trusts

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

  1. Steven Henikoff (in Molecular Biology)
  2. P. Skene (in Molecular Biology)

Papers from Rong Fan's perspective

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

  1. Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.
  2. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites (bioRxiv)
  3. Slide-seq: A Scalable Technology for Measuring Genome-Wide Expression at High Spatial Resolution (Science)
  4. High-definition spatial transcriptomics for in situ tissue profiling (Nature Methods)
  5. SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation (Genome Biology)
  6. NicheNet: modeling intercellular communication by linking ligands to target genes (Nature Methods)
  7. SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks (bioRxiv)
  8. G&T-seq: parallel sequencing of single-cell genomes and transcriptomes (Nature Methods)
  9. CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes (Nature Protocols)
  10. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)

Their papers