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Alexander A. Aksenov

University of California, Riverside · US
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Area of research
Biomedical Engineering · Molecular Biology
Research interest
Research interests include Advanced Chemical Sensor Technologies, Metabolomics and Mass Spectrometry Studies, Pomegranate: compositions and health benefits, and Paraoxonase enzyme and polymorphisms.
h-index
40
citations
12,804
works
180
NIH funding
primary concept
Chemistry
email

Recent publications

Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics
Nature Communications 2023cited by 78position: middledoi
Standardized multi-omics of Earth’s microbiomes reveals microbial and metabolite diversity
Nature Microbiology 2022cited by 181position: middledoi
Microbial and Nonvolatile Chemical Diversities of Chinese Dark Teas Are Differed by Latitude and Pile Fermentation
Journal of Agricultural and Food Chemistry 2022cited by 25position: middledoi
Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment
Nature Communications 2021cited by 307position: middledoi
A community resource for paired genomic and metabolomic data mining
Nature Chemical Biology 2021cited by 129position: middledoi
Mammalian gut metabolomes mirror microbiome composition and host phylogeny
The ISME Journal 2021cited by 36position: middledoi
Feature-based molecular networking in the GNPS analysis environment
Nature Methods 2020cited by 1,507position: middledoi
Reproducible molecular networking of untargeted mass spectrometry data using GNPS
Nature Protocols 2020cited by 688position: middledoi
Global chemical effects of the microbiome include new bile-acid conjugations
Nature 2020cited by 583position: middledoi
Mass spectrometry searches using MASST
Nature Biotechnology 2020cited by 291position: middledoi
Consumption of Fermented Foods Is Associated with Systematic Differences in the Gut Microbiome and Metabolome
mSystems 2020cited by 197position: middledoi
A <i>Cutibacterium acnes</i> antibiotic modulates human skin microbiota composition in hair follicles
Science Translational Medicine 2020cited by 165position: middledoi
Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data
Nature Biotechnology 2020cited by 157position: firstdoi
ReDU: a framework to find and reanalyze public mass spectrometry data
Nature Methods 2020cited by 135position: middledoi
A Genomic Toolkit for the Mechanistic Dissection of Intractable Human Gut Bacteria
Cell Host & Microbe 2020cited by 67position: middledoi
Fungal–bacterial interaction selects for quorum sensing mutants with increased production of natural antifungal compounds
Communications Biology 2020cited by 42position: middledoi
Learning representations of microbe–metabolite interactions
Nature Methods 2019cited by 305position: middledoi
Untargeted mass spectrometry-based metabolomics approach unveils molecular changes in raw and processed foods and beverages
Food Chemistry 2019cited by 80position: middledoi
Interleukin‐17 Inhibition in Spondyloarthritis Is Associated With Subclinical Gut Microbiome Perturbations and a Distinctive Interleukin‐25–Driven Intestinal Inflammation
Arthritis & Rheumatology 2019cited by 76position: middledoi
Neutrophilic proteolysis in the cystic fibrosis lung correlates with a pathogenic microbiome
Microbiome 2019cited by 72position: middledoi
Reproducible Molecular Networking Of Untargeted Mass Spectrometry Data Using GNPS.
ChemRxiv 2019cited by 22position: middledoi
Best practices for analysing microbiomes
Nature Reviews Microbiology 2018cited by 1,882position: middledoi
American Gut: an Open Platform for Citizen Science Microbiome Research
mSystems 2018cited by 897position: middledoi
Niche partitioning of a pathogenic microbiome driven by chemical gradients
Science Advances 2018cited by 83position: middledoi
Author Correction: Inflammation-induced IgA+ cells dismantle anti-liver cancer immunity
Nature 2018cited by 7position: middledoi
Inflammation-induced IgA+ cells dismantle anti-liver cancer immunity
Nature 2017cited by 562position: middledoi
Global chemical analysis of biology by mass spectrometry
Nature Reviews Chemistry 2017cited by 227position: firstdoi
3D molecular cartography using LC–MS facilitated by Optimus and 'ili software
Nature Protocols 2017cited by 111position: middledoi
Coupling Targeted and Untargeted Mass Spectrometry for Metabolome-Microbiome-Wide Association Studies of Human Fecal Samples
Analytical Chemistry 2017cited by 92position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Pieter C. Dorrestein · University of Connecticut15 papers (2017–2021)Rob Knight · University of California San Diego9 papers (2017–2020)Alexey V. Melnik · OncoMed (United States)6 papers (2017–2022)Ricardo Silva · Universidade de Ribeirão Preto5 papers (2017–2022)Robert A. Quinn · University of California San Diego4 papers (2018–2019)Alison Vrbanac · University of California, San Diego3 papers (2017–2018)James T. Morton · Systems Analytics (United States)3 papers (2018–2019)Louis‐Félix Nothias · Centre National de la Recherche Scientifique3 papers (2017–2019)Daniel McDonald · University of Zurich2 papers (2018–2020)Theodore Alexandrov · BioInnovation Institute2 papers (2017–2017)Jun Xu · University of Science and Technology of China2 papers (2017–2018)Ingmar N. Bastian · Baylor College of Medicine2 papers (2017–2018)John Brain · Newcastle University2 papers (2017–2018)Amina Bouslimani · L'Oreal (United States)2 papers (2017–2017)Rohit Loomba · Indiana University – Purdue University Indianapolis2 papers (2017–2018) · 2 papers (2017–2018)Richard Bonneau · Gene Therapy Laboratory2 papers (2019–2019)Ruth T. Yu · Salk Institute for Biological Studies2 papers (2017–2018)Michael Karin · Discovery Institute2 papers (2017–2018)Mingxun Wang · University of California, Riverside2 papers (2019–2020)
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