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

Cacabelos R, Torrellas C (2014) Epigenetic drug discovery for AlzheimerÃ¢â‚¬â„¢s disease. Expert opinion on drug discovery 9: 1059-1086. View at Publisher View at Google Scholar
Cacabelos R, Cacabelos P, Torrellas C, Tellado I, Carril JC (2014) Pharmacogenomics of AlzheimerÃ¢â‚¬â„¢s disease: Novel therapeutic strategies for drug development. Pharmacogenomics in Drug Discovery and Development 1175: 323-556. View at Publisher View at Google Scholar
Sultana S (2016) Research and Reviews: Journal of Pharmacy and Pharmaceutical Sciences. View at Publisher View at Google Scholar
Kumar D, Rawat A, Dubey D, Kumar U, Keshari AK, et al. (2016) NMR based Pharmaco-metabolomics: An efficient and agile tool for therapeutic evaluation of Traditional Herbal Medicines. arXiv preprint arXiv:1602.02492. 2016 Feb 8. View at Publisher View at Google Scholar
Amin AM, Sheau Chin L, Azri Mohamed Noor D, SK Abdul Kader MA, Kah Hay Y, et al. (2017) The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics. Cardiology Research and Practice 2017: 17. View at Publisher View at Google Scholar
Lu W, Xu Y, Zhao Y, Cen X (2014) Emerging technologies, recent developments, and novel applications for drug metabolite identification. Current drug metabolism 15: 865-874. View at Publisher View at Google Scholar
Kim HY, Lee MY, Park HM, Park YK, Shon JC, et al. (2015) Urine and serum metabolite profiling of rats fed a high-fat diet and the anti-obesity effects of caffeine consumption. Molecules 20: 3107-3128. View at Publisher View at Google Scholar
IbÃƒÂ¡ÃƒÂ±ez C, SimÃƒÂ³ C, ValdÃƒÂ©s A, Campone L, Piccinelli AL, et al. (2015) Metabolomics of adherent mammalian cells by capillary electrophoresis-mass spectrometry: HT-29 cells as case study. Journal of pharmaceutical and biomedical analysis 110: 83-92. View at Publisher View at Google Scholar
Bovo S, Mazzoni G, Galimberti G, CalÃƒÂ² DG, Fanelli F, et al. (2016) Metabolomics evidences plasma and serum biomarkers differentiating two heavy pig breeds. animal 10: 1741-1748. View at Publisher View at Google Scholar
Merz BA. Metabolic markers as determinants of future waist-gaining or hip-gaining phenotype in weight-gaining individuals. View at Publisher View at Google Scholar
Bovo S, Mazzoni G, CalÃƒÂ² DG, Galimberti G, Fanelli F,et al. (2015) Deconstructing the pig sex metabolome: Targeted metabolomics in heavy pigs revealed sexual dimorphisms in plasma biomarkers and metabolic pathways. Journal of animal science 93:5681-5693. View at Publisher View at Google Scholar
Rauschert S, Uhl O, Koletzko B, Kirchberg F, Mori TA, et al. (2015) Lipidomics reveals associations of phospholipids with obesity and insulin resistance in young adults. The Journal of Clinical Endocrinology & Metabolism 101: 871-879. View at Publisher View at Google Scholar
Siegert S, Yu Z, Wang-Sattler R, Illig T, Adamski J, et al. (2013) Diagnosing fatty liver disease: a comparative evaluation of metabolic markers, phenotypes, genotypes and established biomarkers. PLoS One 8: e76813. View at Publisher View at Google Scholar
Usharani TR, Gad A, Jalali S, Reddy MK (2016) In silico prediction of MHC binding peptides and epitopes from Tobacco streak virus coat protein to develop immuno-diagnostics for virus. Advances in Applied Research 8: 77-85. View at Publisher View at Google Scholar
Smith B, Arabandi S, Brochhausen M, Calhoun M, Ciccarese P, et al. (2015) Biomedical imaging ontologies: A survey and proposal for future work. Journal of pathology informatics 6: 37. View at Publisher View at Google Scholar
Waghmare S, Sherkhane A, Gomase V (2015) Computational mapping of MHC class binding nonamers from Fatty-acid and retinol-binding protein 1 of Brugia malayi. Journal of Basic Sciences 1: 45-53. View at Publisher View at Google Scholar
Shukla P, Tyagi N (2015) Research and Reviews: Journal of Medical and Health Sciences 4. View at Publisher View at Google Scholar
Fang-yun Y, Zhong-an L, Chang-yong Z, Yan Z (2013) Analysis of differentially expressed proteins induced by citrus decline virus by 2D-DIGE technique. Journal of Fruit Science 30: 16-21. View at Publisher View at Google Scholar
Carmo LS. ProteÃƒÂnas moduladas durante a interaÃƒÂ§ÃƒÂ£o do begomovÃƒÂrus Tomato chlorotic mottle virus (Tocmov) e Suas plantas hospedeiras. View at Publisher View at Google Scholar
Swarupa V, Pavitra K, Shivashankara KS, Ravishankar KV (2016) Omics-Driven Approaches in PlantÃ¢â‚¬â€œMicrobe Interaction. InMicrobial Inoculants in Sustainable Agricultural Productivity Springer India Pp: 61-84. View at Publisher View at Google Scholar
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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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Metabolomics:Open Access