Glen A. Satten

Centers for Disease Control and Prevention

Also affiliated with Emory University, Woodruff Health Sciences Center, National Center for Chronic Disease Prevention and Health Promotion

MathematicsBiochemistry, Genetics and Molecular BiologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 28 papers. Top paper: “Microdeletions of 3q29 Confer High Risk for Schizophrenia”.

Microdeletions of 3q29 Confer High Risk for Schizophrenia

The American Journal of Human Genetics(2010)10.1016/j.ajhg.2010.07.013

N/A

0.819DataRank · unranked

234 citations

Anne F. Dodd, John A. McGrath, Paula S. Wolyniec, Adele A. Mitchell, Vivien Sheehan +14 more

LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control

Proceedings of the National Academy of Sciences(2022)10.1073/pnas.2122788119

N/A

0.604DataRank · unranked

55 citations

Glen A. Satten, Yi‐Juan Hu, Yingtian Hu

A rarefaction-based extension of the LDM for testing presence–absence associations in the microbiome

Bioinformatics(2021)10.1093/bioinformatics/btab012

N/A

0.500DataRank · unranked

27 citations

Andrea Lane, Glen A. Satten, Yi‐Juan Hu

Integrative analysis of relative abundance data and presence–absence data of the microbiome using the LDM

Bioinformatics(2022)10.1093/bioinformatics/btac181

N/A

0.396DataRank · unranked

13 citations

Glen A. Satten, Yi‐Juan Hu, Zhengyi Zhu

LOCOM: A logistic regression model for testing differentialabundance in compositional microbiome data with false discovery rate control

Research Square(2021)10.21203/rs.3.rs-965818/v1

N/A

0.208DataRank · unranked

3 citations

Glen A. Satten, Yi‐Juan Hu, Yingtian Hu

A Rarefaction-Without-Resampling Extension of PERMANOVA for Testing Presence-Absence Associations in The Microbiome

Research Square(2021)10.21203/rs.3.rs-774776/v1

N/A

0.208DataRank · unranked

3 citations

Glen A. Satten, Yi‐Juan Hu

Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.27.546795

N/A

0.104DataRank · unranked

1 citations

Timothy D. Read, Veronika Fedirko, Glen A. Satten, Yi‐Juan Hu, Ye Yue

LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.03.462964

N/A

0DataRank · unranked

1 citations

Glen A. Satten, Yi-Juan Hu, Yingtian Hu

Fresh vs. frozen embryo transfer: new approach to minimize the limitations of using national surveillance data for clinical research

Fertility and Sterility(2022)10.1016/j.fertnstert.2022.10.021

N/A

0DataRank · unranked

13 citations

Chongliang Luo, Yujia Zhang, Yong Chen, Dmitry M. Kissin, Glen A. Satten +2 more

Testing microbiome associations with survival times at both the community and individual taxon levels

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010509

N/A

0DataRank · unranked

8 citations

Yunxiao Li, Glen A. Satten, Yi‐Juan Hu, Yingtian Hu

What Can We Learn about the Bias of Microbiome Studies from Analyzing Data from Mock Communities?

Genes(2022)10.3390/genes13101758

N/A

0DataRank · unranked

3 citations

Robert E. Tyx, Angel J. Rivera, Ni Zhao, Glen A. Satten, Mo Li

Testing microbiome associations with censored survival outcomes at both the community and individual taxon levels

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.11.483858

N/A

0DataRank · unranked

4 citations

Yunxiao Li, Glen A. Satten, Yi‐Juan Hu, Yingtian Hu

Integrative analysis of relative abundance data and presence-absence data of the microbiome using the LDM

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.14.476390

N/A

0DataRank · unranked

3 citations

Glen A. Satten, Yi‐Juan Hu, Zhengyi Zhu

Testing microbiome associations with survival times at both the community and individual taxon levels

Research Square(2022)10.21203/rs.3.rs-1447430/v1

N/A

0DataRank · unranked

0 citations

Yunxiao Li, Glen A. Satten, Yi‐Juan Hu, Yingtian Hu

Compositional analysis of microbiome data using the linear decomposition model (LDM)

Bioinformatics(2023)10.1093/bioinformatics/btad668

N/A

0DataRank · unranked

8 citations

Glen A. Satten, Yi‐Juan Hu

Impact of Experimental Bias on Compositional Analysis of Microbiome Data

Genes(2023)10.3390/genes14091777

N/A

0DataRank · unranked

1 citations

Glen A. Satten, Yi-Juan Hu, Yingtian Hu

Compositional analysis of microbiome data using the linear decomposition model (LDM)

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.26.542540

N/A

0DataRank · unranked

4 citations

Glen A. Satten, Yi‐Juan Hu

Impact of experimental bias on compositional analysis of microbiome data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.08.527766

N/A

0DataRank · unranked

1 citations

Glen A. Satten, Yi‐Juan Hu, Yingtian Hu

Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency

Research Square(2023)10.21203/rs.3.rs-3376801/v1

N/A

0DataRank · unranked

1 citations

Timothy D. Read, Veronika Fedirko, Glen A. Satten, Yi‐Juan Hu, Ye Yue

MIDASim: a fast and simple simulator for realistic microbiome data

Microbiome(2024)10.1186/s40168-024-01822-z

N/A

0DataRank · unranked

22 citations

Ni Zhao, Glen A. Satten, Mengyu He

Integrative Analysis of Microbial 16S Gene and Shotgun Metagenomic Sequencing Data Improves Statistical Efficiency in Testing Differential Abundance

Journal of the American Statistical Association(2025)10.1080/01621459.2025.2516205

N/A

0DataRank · unranked

1 citations

Yicong Mao, Timothy D. Read, Veronika Fedirko, Glen A. Satten, Xuan Chen +3 more

CAFT: A Compositional Log-Linear Model for Microbiome Data with Zero Cells

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.26.690468

N/A

0DataRank · unranked

0 citations

Mo Li, Ni Zhao, Glen A. Satten

Testing hypotheses about the microbiome using the linear decomposition model (LDM)

Bioinformatics(2020)10.1093/bioinformatics/btaa260

N/A

0DataRank · unranked

117 citations

Glen A. Satten, Yi‐Juan Hu

A Rarefaction-Based Extension of the LDM for Testing Presence-Absence Associations in the Microbiome

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.26.117879

N/A

0DataRank · unranked

0 citations

Andrea Lane, Glen A. Satten, Yi‐Juan Hu

Vaginal Microbiome Composition in Early Pregnancy and Risk of Spontaneous Preterm and Early Term Birth Among African American Women

Frontiers in Cellular and Infection Microbiology(2021)10.3389/fcimb.2021.641005

N/A

0DataRank · unranked

89 citations

Glen A. Satten, Yi‐Juan Hu, Anna K. Knight, Cherie C. Hill, Michelle L. Wright +5 more

Constraining PERMANOVA and LDM to within-set comparisons by projection improves the efficiency of analyses of matched sets of microbiome data

Microbiome(2021)10.1186/s40168-021-01034-9

N/A

0DataRank · unranked

34 citations

Glen A. Satten, Caroline M. Mitchell, Yi‐Juan Hu, Zhengyi Zhu

A rarefaction-without-resampling extension of PERMANOVA for testing presence-absence associations in the microbiome

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.06.438671

N/A

0DataRank · unranked

14 citations

Glen A. Satten, Yi‐Juan Hu

Efficient Estimation of Indirect Effects in Case-Control Studies Using a Unified Likelihood Framework

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.16.452552

N/A

0DataRank · unranked

1 citations

Sarah W. Curtis, Claudia Solís‐Lemus, Elizabeth J. Leslie, Michael P. Epstein, Glen A. Satten