Table 2 The top 10 co-cited articles of the human gastrointestinal microbiome during 2010–2021
Author | Year | Cited by | Title | Journal | IF(2020) | Term | Methods | |
|---|---|---|---|---|---|---|---|---|
Human Gastrointestinal Microbiome articles | wos | |||||||
Tanya [29] | 2012 | 245 | 3575 | Human gut microbiome viewed across age and geography | Nature | 42.778 | Gut microbiomes differ among human populations | 16S rRNA |
Lawrence [30] | 2014 | 198 | 3967 | Diet rapidly and reproducibly alters the human gut microbiome | Nature | 42.778 | Diet | 16S rRNA |
Qin [31] | 2012 | 179 | 2909 | A metagenome-wide association study of gut microbiota in type 2 diabetes | Nature | 42.778 | Type 2 diabetes | MGWAS analysis |
Manimozhiyan [32] | 2011 | 173 | 3384 | Enterotypes of the human gut microbiome | Nature | 42.778 | Enterotypes | Metagenomes |
Wu [33] | 2011 | 166 | 3091 | Linking long-term dietary patterns with gut microbial enterotypes | Nature | 42.778 | Diet | 16S rDNA |
Emmanuelle [34] | 2013 | 155 | 1973 | Richness of human gut microbiome correlates with metabolic markers | Nature | 42.778 | Metabolic markers and obesity | Quantitative metagenomic |
Qin [35] | 2010 | 144 | 5551 | A human gut microbial gene catalogue established by metagenomic sequencing | Nature | 42.778 | Human gut microbial gene catalogue | Metagenomes |
Morgan [36] | 2013 | 120 | 4123 | Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences | Nature biotechnology | 36.558 | A computational approach to predict the functional composition of a metagenome using marker gene data and a database of reference genomes | PICRUSt |
Benjamin [37] | 2016 | 76 | 3974 | DADA2: High-resolution sample inference from Illumina amplicon data | Nature Methods | 30.820 | The software package DADA2 for modeling and correcting Illumina-sequenced amplicon errors | DADA2 |
Gwen [38] | 2016 | 57 | 766 | Population-level analysis of gut microbiome variation | Science | 41.847 | Fecal microbiome variation in the average, healthy population | 16S rRNA |