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 |
Gökta?, Atila, and Özge Akku?. "Comparison of partial least squares with other prediction methods via generated data." Journal of Statistical Computation and Simulation 90, no. 16 (2020): 3009-3024. |
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Çiftsüren, Mehmet Nur, and Suna Akkol. "Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net." Archives Animal Breeding 61, no. 3 (2018): 279-284. |
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Mueller?Using, Susanne, Wieslaw Urban, and Jan Wedemeier. "Internationalization of SMEs in the Baltic Sea Region: Barriers of cross?national collaboration considering regional innovation strategies for smart specialization." Growth and Change 51, no. 4 (2020): 1471-1490. |
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Adab, Hamed, Renato Morbidelli, Carla Saltalippi, Mahmoud Moradian, and Gholam Abbas Fallah Ghalhari. "Machine learning to estimate surface soil moisture from remote sensing data." Water 12, no. 11 (2020): 3223. |
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Bravo-Merodio, Laura, Animesh Acharjee, Jon Hazeldine, Conor Bentley, Mark Foster, Georgios V. Gkoutos, and Janet M. Lord. "Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction." Scientific data 6, no. 1 (2019): 1-10. |
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Craig, Michael P., Sumudu Rajakaruna, Oleg Paliy, Mumtaz Sajjad, Srivats Madhavan, Nikhil Reddy, Jin Zhang, Michael Bottomley, Sangeeta Agrawal, and Madhavi P. Kadakia. "Differential MicroRNA Signatures in the Pathogenesis of Barrett's Esophagus." Clinical and translational gastroenterology 11, no. 1 (2020). |
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Ajana, Soufiane, Niyazi Acar, Lionel Bretillon, Boris P. Hejblum, Hélène Jacqmin-Gadda, and Cécile Delcourt. "Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample size." Bioinformatics 35, no. 19 (2019): 3628-3634. |
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Yan, Zhengbing, Te-Hui Kuang, and Yuan Yao. "Multivariate fault isolation of batch processes via variable selection in partial least squares discriminant analysis." ISA transactions 70 (2017): 389-399. |
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Bravo-Merodio, Laura, John A. Williams, Georgios V. Gkoutos, and Animesh Acharjee. "-Omics biomarker identification pipeline for translational medicine." Journal of translational medicine 17, no. 1 (2019): 1-10. |
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Antonelli, Joseph, Brian L. Claggett, Mir Henglin, Andy Kim, Gavin Ovsak, Nicole Kim, Katherine Deng et al. "Statistical workflow for feature selection in human metabolomics data." Metabolites 9, no. 7 (2019): 143. |
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Kuess, Peter, Piotr Andrzejewski, David Nilsson, Petra Georg, Johannes Knoth, Martin Susani, Johan Trygg et al. "Association between pathology and texture features of multi parametric MRI of the prostate." Physics in Medicine & Biology 62, no. 19 (2017): 7833. |
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Mueller-Using, Susanne, Torsten Feldt, Fred Stephen Sarfo, and Kirsten Alexandra Eberhardt. "Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set." BMC Public Health 16, no. 1 (2016): 1-8.6 |
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Kirpich, Alexander, Elizabeth A. Ainsworth, Jessica M. Wedow, Jeremy RB Newman, George Michailidis, and Lauren M. McIntyre. "Variable selection in omics data: A practical evaluation of small sample sizes." PloS one 13, no. 6 (2018): e0197910. |
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Laíns, Inês, Mari Gantner, Salome Murinello, Jessica A. Lasky-Su, Joan W. Miller, Martin Friedlander, and Deeba Husain. "Metabolomics in the study of retinal health and disease." Progress in retinal and eye research 69 (2019): 57-79. |
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Mena, Pedro, Iziar A. Ludwig, Virginia B. Tomatis, Animesh Acharjee, Luca Calani, Alice Rosi, Furio Brighenti et al. "Inter-individual variability in the production of flavan-3-ol colonic metabolites: Preliminary elucidation of urinary metabotypes." European journal of nutrition 58, no. 4 (2019): 1529-1543. |
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Rattray, Nicholas JW, Nicole C. Deziel, Joshua D. Wallach, Sajid A. Khan, Vasilis Vasiliou, John PA Ioannidis, and Caroline H. Johnson. "Beyond genomics: understanding exposotypes through metabolomics." Human genomics 12, no. 1 (2018): 1-14. |
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Kansal, Kalyani, Zhen Yang, Ann M. Fishman, Haris I. Sair, Sarah H. Ying, Bruno M. Jedynak, Jerry L. Prince, and Chiadi U. Onyike. "Structural cerebellar correlates of cognitive and motor dysfunctions in cerebellar degeneration." Brain 140, no. 3 (2017): 707-720. |
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Mehmood, Tahir, and Bilal Ahmed. "The diversity in the applications of partial least squares: an overview." Journal of Chemometrics 30, no. 1 (2016): 4-17. |
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Braun, Rosemary, William L. Kath, Marta Iwanaszko, Elzbieta Kula-Eversole, Sabra M. Abbott, Kathryn J. Reid, Phyllis C. Zee, and Ravi Allada. "Universal method for robust detection of circadian state from gene expression." Proceedings of the National Academy of Sciences 115, no. 39 (2018): E9247-E9256. |
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Calamita, Giuseppe, and Christine Delporte. "Involvement of aquaglyceroporins in energy metabolism in health and disease." Biochimie (2021). |
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Metabolomics:Open Access received 895 citations as per Google Scholar report
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