Susan Holmes

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Biology and Biochemistry D-index 68 Citations 40,183 179 World Ranking 4820 National Ranking 2371

Overview

What are the main themes of her work throughout her whole career to date

Her Endocrinology study frequently draws connections between adjacent fields such as Energy expenditure and Urine. Feces combines with fields such as Paleontology and Urine in her investigation. Susan Holmes performs integrative study on Paleontology and Feces. In the subject of Social psychology, she integrates adjacent academic fields such as Social support and Praise. Her work on Social psychology expands to the thematically related Social support. In her works, Susan Holmes conducts interdisciplinary research on Physiology and Endocrinology. She incorporates Acculturation and Anthropology in her studies. With her scientific publications, her incorporates both Anthropology and Ethnic group. She merges many fields, such as Ethnic group and Acculturation, in her writings.

Susan Holmes most often published in these fields:

Energy expenditure (25.00%)
Endocrinology (25.00%)
Feces (25.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

Evan Bolyen;Jai Ram Rideout;Matthew R. Dillon;Nicholas A. Bokulich.
Nature Biotechnology (2019)

6388 Citations

phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data.

Paul J. McMurdie;Susan Holmes.
PLOS ONE (2013)

6289 Citations

DADA2: High-resolution sample inference from Illumina amplicon data

Benjamin J Callahan;Paul J McMurdie;Michael J Rosen;Andrew W Han.
Nature Methods (2016)

5625 Citations

Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Evan Bolyen;Jai Ram Rideout;Matthew R. Dillon;Nicholas A. Bokulich.
Nature Biotechnology (2019)

3419 Citations

Waste not, want not: why rarefying microbiome data is inadmissible.

Paul J. McMurdie;Susan P. Holmes.
PLOS Computational Biology (2014)

1710 Citations

Exact sequence variants should replace operational taxonomic units in marker-gene data analysis.

Benjamin J Callahan;Paul J McMurdie;Susan P Holmes.
The ISME Journal (2017)

1099 Citations

Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data.

Nicole M. Davis;Diana M. Proctor;Diana M. Proctor;Susan P. Holmes;David A. Relman;David A. Relman.
Microbiome (2018)

980 Citations

Bootstrap confidence levels for phylogenetic trees.

Bradley Efron;Elizabeth Halloran;Susan Holmes.
Proceedings of the National Academy of Sciences of the United States of America (1996)

893 Citations

Temporal and spatial variation of the human microbiota during pregnancy

Daniel B. DiGiulio;Benjamin J. Callahan;Paul J. McMurdie;Elizabeth K. Costello.
Proceedings of the National Academy of Sciences of the United States of America (2015)

865 Citations

QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science

Evan Bolyen;Jai Ram Rideout;Matthew R Dillon;Nicholas A Bokulich.
PeerJ (2018)

760 Citations

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