Jun Chen
Molecular Biology · Scientific Reports · 2016–2021
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 44 citations into it
- Food Science — 9 citations into it
- Ecology — 5 citations into it
Whom Jun Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miron Bartosz Kursa
- Nicola Segata
- Mark D. Robinson
- Robert C. Edgar
- Emanuel Parzen
- Witold R. Rudnicki
- Simon Anders
- James R. Carpenter
- Huang Lin
Papers from Jun Chen's perspective
Ordered by how strongly the researchers Jun Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes (Science)
- Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment (Genome Biology)
- The Human Microbiome Project (Nature)
- Metagenomic microbial community profiling using unique clade-specific marker genes
- Analysis of composition of microbiomes: a novel method for studying microbial composition (Microbial Ecology in Health and Disease)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- Enterotypes of the human gut microbiome (Nature)
- Metagenomic biomarker discovery and explanation (Genome Biology)
- Metagenomic systems biology of the human gut microbiome reveals topological shifts associated with obesity and inflammatory bowel disease (Proceedings of the National Academy of Sciences of the United States of America)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
Their papers
- Multiple sclerosis patients have a distinct gut microbiota compared to healthy controls (2016) — 836 citations
- An expansion of rare lineage intestinal microbes characterizes rheumatoid arthritis (2016) — 744 citations
- LinDA: linear models for differential abundance analysis of microbiome compositional data (2021) — 327 citations