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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 11, which means every article in Metabolomics:Open Access has got 11 average citations.

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

  2020 2019 2018 2017 2016

Year wise published articles

24 7 9 11 29

Year wise citations received

100 102 93 95 75
Journal Impact Factor 2020 formula
IF= Citations(y)/{Publications(y-1)+ Publications(y-2)} Y= Year
Journal 5-year Impact Factor 2020 formula
Citations(2016 + 2017 + 2018 + 2019 + 2020)/
{Published articles(2016 + 2017 + 2018 + 2019 + 2020)}
Journal citescore
Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3
Journal total citations count 626
Journal h-index 11
Journal h-index since 2016 11
Important citations

Padhy J (2016) Research & Reviews: Journal of Medical and Health Sciences. pancreas (the organ that produces insulin) 5: 1-10.

Sharma P, Bhardwaj P, Arif T, Khan I, Singh R (2014) Research and Reviews: Journal of Pharmacology and Toxicological Studies 2: 1-18.

Indrani P (2016) Research and Reviews: Journal of Pharmacology and Toxicological Studies. diabetes 4: 60-66.

Padhy J (2016) Research & Reviews: Journal of Medical and Health Sciences. pancreas (the organ that produces insulin) 5: 1-10.

Sharma P, Bhardwaj P, Arif T, Khan I, Singh R (2014) Research and Reviews: Journal of Pharmacology and Toxicological Studies 2: 1-18.

Indrani P (2016) Research and Reviews: Journal of Pharmacology and Toxicological Studies. diabetes 4: 60-66.

Wankhade UD, Shen M, Yadav H, Thakali KM (2016) Novel Browning Agents, Mechanisms, and Therapeutic Potentials of Brown Adipose Tissue. BioMed Research International 2016.

Jain M, Kennedy AD, Elsea SH, Miller MJ (2017) Analytes related to erythrocyte metabolism are reliable biomarkers for preanalytical error due to delayed plasma processing in metabolomics studies. Clinica Chimica Acta.

Mesnage R, Arno M, Séralini GE, Antoniou MN (2017) Transcriptome and metabolome analysis of liver and kidneys of rats chronically fed NK603 Roundup-tolerant genetically modified maize. Environmental Sciences Europe 29: 6.

Mesnage R, Agapito-Tenfen SZ, Vilperte V, Renney G, Ward M, et al. (2016) An integrated multi-omics analysis of the NK603 Roundup-tolerant GM maize reveals metabolism disturbances caused by the transformation process. Scientific Reports 6: 37855.

Hatfield KJ, Melve GK, Bruserud Ø (2017) Granulocyte colony-stimulating factor alters the systemic metabolomic profile in healthy donors. Metabolomics 13: 2.

Zhu Y, Wang P, Sha W, Sang S (2016) Urinary Biomarkers of Whole Grain Wheat Intake Identified by Non-targeted and Targeted Metabolomics Approaches. Scientific reports 6: 36278.

Moriya T, Satomi Y, Kobayashi H (2016) Intensive determination of storage condition effects on human plasma metabolomics. Metabolomics 12: 179.

Mesnage R, Renney G, Séralini GE, Ward M, Antoniou MN (2017) Multiomics reveal non-alcoholic fatty liver disease in rats following chronic exposure to an ultra-low dose of Roundup herbicide. Scientific Reports 7: 39328.

Rimpelä JM, Kontula KK, Fyhrquist F, Donner KM, Tuiskula AM,et al. (2017) Replicated evidence for aminoacylase 3 and nephrin gene variations to predict antihypertensive drug responses. Pharmacogenomics.

Houten SM, Chen J, Belpoggi F, Manservisi F, Sánchez-Guijo A, et al. (2016) Changes in the Metabolome in Response to Low-Dose Exposure to Environmental Chemicals Used in Personal Care Products during Different Windows of Susceptibility. PloS one 11: e0159919.

Varsha KR (2016) Research & Reviews: Journal of Pharmacology and Toxicological Studies 4: 154-164.

Kennedy AD, Miller MJ, Beebe K, Wulff JE, Evans AM, et al. (2016) Metabolomic Profiling of Human Urine as a Screen for Multiple Inborn Errors of Metabolism. Genetic Testing and Molecular Biomarkers 20: 485-495.

Mostafa I, Zhu N, Yoo MJ, Balmant KM, Misra BB, et al. (2016) New nodes and edges in the glucosinolate molecular network revealed by proteomics and metabolomics of Arabidopsis myb28/29 and cyp79B2/B3 glucosinolate mutants. Journal of proteomics 138: 1-9.

Playdon MC, Moore SC, Derkach A, Reedy J, Subar AF, et al. (2017) Identifying biomarkers of dietary patterns by using metabolomics. The American Journal of Clinical Nutrition 105: 450-465.

Relevant Topics

Google scholar citation report
Citations: 626

Metabolomics:Open Access received 626 citations as per google scholar report

Metabolomics:Open Access peer review process verified at publons

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