| Year |
Citation |
Score |
| 2024 |
Peng C, Chen Q, Tan S, Shen X, Jiang C. Generalized reporter score-based enrichment analysis for omics data. Briefings in Bioinformatics. 25. PMID 38546324 DOI: 10.1093/bib/bbae116 |
0.406 |
|
| 2024 |
Zhou X, Shen X, Johnson JS, Spakowicz DJ, Agnello M, Zhou W, Avina M, Honkala A, Chleilat F, Chen SJ, Cha K, Leopold S, Zhu C, Chen L, Lyu L, et al. Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease. Cell Host & Microbe. PMID 38479397 DOI: 10.1016/j.chom.2024.02.012 |
0.44 |
|
| 2024 |
Zhou X, Shen X, Johnson JS, Spakowicz DJ, Agnello M, Zhou W, Avina M, Honkala A, Chleilat F, Chen SJ, Cha K, Leopold S, Zhu C, Chen L, Lyu L, et al. Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease. Biorxiv : the Preprint Server For Biology. PMID 38352363 DOI: 10.1101/2024.02.01.577565 |
0.564 |
|
| 2023 |
Shen X, Kellogg R, Panyard DJ, Bararpour N, Castillo KE, Lee-McMullen B, Delfarah A, Ubellacker J, Ahadi S, Rosenberg-Hasson Y, Ganz A, Contrepois K, Michael B, Simms I, Wang C, et al. Multi-omics microsampling for the profiling of lifestyle-associated changes in health. Nature Biomedical Engineering. PMID 36658343 DOI: 10.1038/s41551-022-00999-8 |
0.412 |
|
| 2022 |
Shen X, Shao W, Wang C, Liang L, Chen S, Zhang S, Rusu M, Snyder MP. Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine. Briefings in Bioinformatics. PMID 35947990 DOI: 10.1093/bib/bbac331 |
0.523 |
|
| 2022 |
Shen X, Wang C, Snyder MP. massDatabase: utilities for the operation of the public compound and pathway database. Bioinformatics (Oxford, England). PMID 35944213 DOI: 10.1093/bioinformatics/btac546 |
0.416 |
|
| 2022 |
Shen X, Yan H, Wang C, Gao P, Johnson CH, Snyder MP. TidyMass an object-oriented reproducible analysis framework for LC-MS data. Nature Communications. 13: 4365. PMID 35902589 DOI: 10.1038/s41467-022-32155-w |
0.462 |
|
| 2022 |
Zhang S, Cooper-Knock J, Weimer AK, Shi M, Kozhaya L, Unutmaz D, Harvey C, Julian TH, Furini S, Frullanti E, Fava F, Renieri A, Gao P, Shen X, Timpanaro IS, et al. Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity. Cell Systems. PMID 35690068 DOI: 10.1016/j.cels.2022.05.007 |
0.545 |
|
| 2022 |
Gao P, Shen X, Zhang X, Jiang C, Zhang S, Zhou X, Schüssler-Fiorenza Rose SM, Snyder M. Precision environmental health monitoring by longitudinal exposome and multi-omics profiling. Genome Research. PMID 35667843 DOI: 10.1101/gr.276521.121 |
0.589 |
|
| 2021 |
Shen X, Wu S, Liang L, Chen S, Contrepois K, Zhu ZJ, Snyder M. metID: a R package for automatable compound annotation for LC-MS-based data. Bioinformatics (Oxford, England). PMID 34432001 DOI: 10.1093/bioinformatics/btab583 |
0.387 |
|
| 2021 |
Zhang S, Cooper-Knock J, Weimer AK, Harvey C, Julian TH, Wang C, Li J, Furini S, Frullanti E, Fava F, Renieri A, Pan C, Song J, Billing-Ross P, Gao P, ... Shen X, et al. Common and rare variant analyses combined with single-cell multiomics reveal cell-type-specific molecular mechanisms of COVID-19 severity. Medrxiv : the Preprint Server For Health Sciences. PMID 34189540 DOI: 10.1101/2021.06.15.21258703 |
0.563 |
|
| 2020 |
Liang L, Rasmussen MH, Piening B, Shen X, Chen S, Röst H, Snyder JK, Tibshirani R, Skotte L, Lee NC, Contrepois K, Feenstra B, Zackriah H, Snyder M, Melbye M. Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women. Cell. 181: 1680-1692.e15. PMID 32589958 DOI: 10.1016/J.Cell.2020.05.002 |
0.419 |
|
| 2019 |
Shen X, Wang R, Xiong X, Yin Y, Cai Y, Ma Z, Liu N, Zhu ZJ. Metabolic reaction network-based recursive metabolite annotation for untargeted metabolomics. Nature Communications. 10: 1516. PMID 30944337 DOI: 10.1038/S41467-019-09550-X |
0.377 |
|
| 2019 |
Shen X, Zhu ZJ. MetFlow: An interactive and integrated workflow for metabolomics data cleaning and differential metabolite discovery. Bioinformatics (Oxford, England). PMID 30601938 DOI: 10.1093/Bioinformatics/Bty1066 |
0.386 |
|
| 2018 |
Wang Z, Cui B, Zhang F, Yang Y, Shen X, Li Z, Zhao W, Zhang Y, Deng K, Rong Z, Yang K, Yu X, Li K, Han P, Zhu ZJ. Development of A Correlative Strategy to Discover Colorectal Tumor Tissue Derived Metabolite Biomarkers in Plasma Using Untargeted Metabolomics. Analytical Chemistry. PMID 30580524 DOI: 10.1021/Acs.Analchem.8B05177 |
0.314 |
|
| 2018 |
Zhou Z, Shen X, Chen X, Tu J, Xiong X, Zhu ZJ. LipidIMMS Analyzer: Integrating multi-dimensional information to support lipid identification in ion mobility - mass spectrometry based lipidomics. Bioinformatics (Oxford, England). PMID 30052780 DOI: 10.1093/Bioinformatics/Bty661 |
0.33 |
|
| 2017 |
Zhou Z, Tu J, Xiong X, Shen X, Zhu ZJ. LipidCCS: Prediction of Collision Cross-Section Values for Lipids with High Precision to Support Ion Mobility-Mass Spectrometry based Lipidomics. Analytical Chemistry. PMID 28764323 DOI: 10.1021/Acs.Analchem.7B02625 |
0.328 |
|
| 2016 |
Zhou Z, Shen X, Tu J, Zhu ZJ. Large-Scale Prediction of Collision Cross-Section Values for Metabolites in Ion Mobility - Mass Spectrometry. Analytical Chemistry. PMID 27768289 DOI: 10.1021/Acs.Analchem.6B03091 |
0.345 |
|
| 2016 |
Shen X, Gong X, Cai Y, Guo Y, Tu J, Li H, Zhang T, Wang J, Xue F, Zhu ZJ. Normalization and integration of large-scale metabolomics data using support vector regression Metabolomics. 12. DOI: 10.1007/S11306-016-1026-5 |
0.316 |
|
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