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Metabolomics:Open Access

ISSN: 2153-0769

Open Access

Citations Report

Metabolomics:Open Access : Citations & Metrics Report

Articles published in Metabolomics:Open Access have been cited by esteemed scholars and scientists all around the world.

Metabolomics:Open Access has got h-index 14, which means every article in Metabolomics:Open Access has got 14 average citations.

Following are the list of articles that have cited the articles published in Metabolomics:Open Access.

  2022 2021 2020 2019 2018

Year wise published articles

20 30 24 7 9

Year wise citations received

102 110 105 105 96
Journal total citations count 895
Journal impact factor 1.8
Journal 5 years impact factor 3.73
Journal cite score 2.25
Journal h-index 14
Journal h-index since 2018 9
Important citations

Harvey DJ (2015) Analysis of carbohydrates and glycoconjugates by matrix‐assisted laser desorption/ionization mass spectrometry: An update for 2009–2010. Mass spectrometry reviews 34: 268-422.

Ernst M, Silva DB, Silva RR, Vêncio RZ, Lopes NP (2014) Mass spectrometry in plant metabolomics strategies: from analytical platforms to data acquisition and processing. Natural product reports 31: 784-806.

Schmidt MA, Pendarvis K (2016) Proteome rebalancing in transgenic Camelina occurs within the enlarged proteome induced by β-carotene accumulation and storage protein suppression. Transgenic Research 26: 1-6.

Loftfield E, Vogtmann E, Sampson JN, Moore SC, Nelson H, et al. (2016) Comparison of Collection Methods for Fecal Samples for Discovery Metabolomics in Epidemiologic Studies. Cancer Epidemiology and Prevention Biomarkers 25: 1483-1490.

Abul-Husn NS, Obeng AO, Sanderson SC, Gottesman O, Scott SA (2014) Archive for January, 2015. Pharmacogenomics and Personalized Medicine 7: 227-240.

Alexander D, Kennedy AD, Desai N, Kensicki E, Pappan KL (2015) Metabolomics of Food-and Waterborne Fungal Pathogens. InMolecular Biology of Food and Water Borne Mycotoxigenic and Mycotic Fungi CRC Press Pp: 57-68.

Mitchell MW (2015) A Comparison of Aggregate P-Value Methods and Multivariate Statistics for Self-Contained Tests of Metabolic Pathway Analysis. PloS one 10: e0125081.

Domingos S, Fino J, Cardoso V, Sánchez C, Ramalho JC, et al. (2016) Shared and divergent pathways for flower abscission are triggered by gibberellic acid and carbon starvation in seedless Vitis vinifera L. BMC plant biology 16: 38.

Domingos S, Fino J, Paulo OS, Oliveira CM, Goulao LF (2016) Molecular candidates for early-stage flower-to-fruit transition in stenospermocarpic table grape (Vitis vinifera L.) inflorescences ascribed by differential transcriptome and metabolome profiles. Plant Science 244: 40-56.

Hivert MF, Perng W, Watkins SM, Newgard CS, Kenny LC, et al. (2015) Metabolomics in the developmental origins of obesity and its cardiometabolic consequences. Journal of developmental origins of health and disease 6: 65-78.

Tuttle JR, Nah G, Duke MV, Alexander DC, Guan X, et al. (2015) Metabolomic and transcriptomic insights into how cotton fiber transitions to secondary wall synthesis, represses lignification, and prolongs elongation. BMC genomics 16: 477.

Lustgarten MS, Price LL, Logvinenko T, Hatzis C, Padukone N, et al. (2013) Identification of serum analytes and metabolites associated with aerobic capacity. European journal of applied physiology 113: 1311-1320.

Samanovic MI, Tu S, Novák O, Iyer LM, McAllister FE, et al. (2015) Proteasomal control of cytokinin synthesis protects Mycobacterium tuberculosis against nitric oxide. Molecular cell 57: 984-994.

Pacini T, Fu W, Gudmundsson S, Chiaravalle AE, Brynjolfson S, et al. (2015) Multidimensional analytical approach based on UHPLC-UV-ion mobility-MS for the screening of natural pigments. Analytical chemistry 87:2593-2599.

Kurland IJ, Accili D, Burant C, Fischer SM, Kahn BB, et al. (2013) Application of combined omics platforms to accelerate biomedical discovery in diabesity. Annals of the New York Academy of Sciences 1287:1-6.

Evans AM, Bridgewater BR, Liu Q, Mitchell MW, Robinson RJ, et al. (2014) High resolution mass spectrometry improves data quantity and quality as compared to unit mass resolution mass spectrometry in high-throughput profiling metabolomics. Metabolomics 4:1.

Paglia G, Williams JP, Menikarachchi L, Thompson JW, Tyldesley-Worster R, et al. (2014) Ion mobility derived collision cross sections to support metabolomics applications. Analytical chemistry 86:3985-3993.

Ji X, Zhang Y, Ku T, Yun Y, Li G, et al. (2016) MicroRNA-338-5p modulates pulmonary hypertension-like injuries caused by SO 2, NO 2 and PM 2.5 co-exposure through targeting the HIF-1α/Fhl-1 pathway. Toxicology Research 5: 1548-1560.

Liu Z, Yang L, Zhao Y, Tang M, Wang F, et al. (2015) Reproducibility of quantitative real-time PCR assay in microRNA expression profiling and comparison with microarray analysis in narcolepsy. SpringerPlus. 4: 812.

Enfield KS, Pikor LA, Martinez VD, Lam WL (2012) Mechanistic roles of noncoding RNAs in lung cancer biology and their clinical implications. Genetics research international Pp:16.

Relevant Topics

Google Scholar citation report
Citations: 895

Metabolomics:Open Access received 895 citations as per Google Scholar report

Metabolomics:Open Access peer review process verified at publons

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