S. Cai
The ISME Journal · 2011–2020
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom S. Cai trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Irving John Good (in Statistics and Probability)
Papers from S. Cai's perspective
Ordered by how strongly the researchers S. Cai trusts endorse each paper. Same corpus, a different order for every researcher.
- ARB: a software environment for sequence data. (Nucleic Acids Research)
- Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
- The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
- Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
- NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes (Nucleic Acids Res.)
- Symbiotic gut microbes modulate human metabolic phenotypes (Proceedings of the National Academy of Sciences of the United States of America)
- Comparative Analysis of Human Gut Microbiota by Barcoded Pyrosequencing (PLoS ONE)
- THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
- The Pervasive Effects of an Antibiotic on the Human Gut Microbiota, as Revealed by Deep 16S rRNA Sequencing (PLoS Biology)
- The microbiology of butyrate formation in the human colon. (FEMS Microbiology Letters)
Their papers
- Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers (2011) — 1,187 citations
- Fusobacterium nucleatum Increases Proliferation of Colorectal Cancer Cells and Tumor Development in Mice by Activating TLR4 Signaling to NFκB, Upregulating Expression of microRNA-21 (2016) — 895 citations
- Tumor-derived exosomal miR-934 induces macrophage M2 polarization to promote liver metastasis of colorectal cancer (2020) — 685 citations
- Patient-Derived Organoids Predict Chemoradiation Responses of Locally Advanced Rectal Cancer. (2019) — 604 citations