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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
Laurent Heirendt, Sylvain Arreckx, Thomas Pfau, et al.
Nature Protocols (2019) Vol. 14, Iss. 3, pp. 639-702
Open Access | Times Cited: 1094

Showing 1-25 of 1094 citing articles:

Recon3D enables a three-dimensional view of gene variation in human metabolism
Elizabeth Brunk, Swagatika Sahoo, Daniel C. Zielinski, et al.
Nature Biotechnology (2018) Vol. 36, Iss. 3, pp. 272-281
Open Access | Times Cited: 660
MEMOTE for standardized genome-scale metabolic model testing
Christian Lieven, Moritz Emanuel Beber, Brett G. Olivier, et al.
Nature Biotechnology (2020) Vol. 38, Iss. 3, pp. 272-276
Open Access | Times Cited: 418
Bacterial biopolymers: from pathogenesis to advanced materials
M. Fata Moradali, Bernd H. A. Rehm
Nature Reviews Microbiology (2020) Vol. 18, Iss. 4, pp. 195-210
Open Access | Times Cited: 378
Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19
Joana P. Bernardes, Neha Mishra, Florian Tran, et al.
Immunity (2020) Vol. 53, Iss. 6, pp. 1296-1314.e9
Open Access | Times Cited: 350
Metabolic modeling of single Th17 cells reveals regulators of autoimmunity
Allon Wagner, Chao Wang, Johannes Fessler, et al.
Cell (2021) Vol. 184, Iss. 16, pp. 4168-4185.e21
Open Access | Times Cited: 343
An atlas of human metabolism
Jonathan L. Robinson, Pınar Kocabaş, Hao Wang, et al.
Science Signaling (2020) Vol. 13, Iss. 624
Open Access | Times Cited: 332
The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease
Alberto Noronha, Jennifer Modamio, Yohan Jarosz, et al.
Nucleic Acids Research (2018) Vol. 47, Iss. D1, pp. D614-D624
Open Access | Times Cited: 330
RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor
Hao Wang, Simonas Marcišauskas, Benjamín J. Sánchez, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 10, pp. e1006541-e1006541
Open Access | Times Cited: 316
Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease
Almut Heinken, Dmitry A. Ravcheev, Federico Baldini, et al.
Microbiome (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 277
SBMLLevel 3: an extensible format for the exchange and reuse of biological models
Sarah Keating, Dagmar Waltemath, Matthias König, et al.
Molecular Systems Biology (2020) Vol. 16, Iss. 8
Open Access | Times Cited: 261
Machine and deep learning meet genome-scale metabolic modeling
Guido Zampieri, Supreeta Vijayakumar, Elisabeth Yaneske, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 7, pp. e1007084-e1007084
Open Access | Times Cited: 249
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment
Laura Judith Marcos-Zambrano, Kanita Karađuzović-Hadžiabdić, Tatjana Lončar-Turukalo, et al.
Frontiers in Microbiology (2021) Vol. 12
Open Access | Times Cited: 248
Rewiring carbon metabolism in yeast for high level production of aromatic chemicals
Quanli Liu, Tao Yu, Xiaowei Li, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 246
Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction
Feiran Li, Le Yuan, Hongzhong Lu, et al.
Nature Catalysis (2022) Vol. 5, Iss. 8, pp. 662-672
Open Access | Times Cited: 246
Single-Cell RNA Sequencing Maps Endothelial Metabolic Plasticity in Pathological Angiogenesis
Kateřina Rohlenová, Jermaine Goveia, Melissa García‐Caballero, et al.
Cell Metabolism (2020) Vol. 31, Iss. 4, pp. 862-877.e14
Open Access | Times Cited: 241
Reconstructing organisms in silico: genome-scale models and their emerging applications
Xin Fang, Colton J. Lloyd, Bernhard Ø. Palsson
Nature Reviews Microbiology (2020) Vol. 18, Iss. 12, pp. 731-743
Open Access | Times Cited: 231
Synthetic biology 2020–2030: six commercially-available products that are changing our world
Christopher A. Voigt
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 227
Towards bio-upcycling of polyethylene terephthalate
Till Tiso, Tanja Narančić, Ren Wei, et al.
Metabolic Engineering (2021) Vol. 66, pp. 167-178
Open Access | Times Cited: 227
A systematic assessment of current genome-scale metabolic reconstruction tools
Sebastián N. Mendoza, Brett G. Olivier, Douwe Molenaar, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 211
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism
Jie Zhang, Søren D. Petersen, Tijana Radivojević, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 211
Multi-omics integration in biomedical research – A metabolomics-centric review
Maria A. Wörheide, Jan Krumsiek, Gabi Kastenmüller, et al.
Analytica Chimica Acta (2020) Vol. 1141, pp. 144-162
Open Access | Times Cited: 201
Acetate Metabolism and the Inhibition of Bacterial Growth by Acetate
Stéphane Pinhal, Delphine Ropers, Johannes Geiselmann, et al.
Journal of Bacteriology (2019) Vol. 201, Iss. 13
Open Access | Times Cited: 199
The gut microbial metabolite formate exacerbates colorectal cancer progression
Dominik Ternes, Mina Tsenkova, Vitaly I. Pozdeev, et al.
Nature Metabolism (2022) Vol. 4, Iss. 4, pp. 458-475
Open Access | Times Cited: 187
Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions
Federico Baldini, Johannes Hertel, Estelle Sandt, et al.
BMC Biology (2020) Vol. 18, Iss. 1
Open Access | Times Cited: 185
Personalized whole‐body models integrate metabolism, physiology, and the gut microbiome
Ines Thiele, Swagatika Sahoo, Almut Heinken, et al.
Molecular Systems Biology (2020) Vol. 16, Iss. 5
Open Access | Times Cited: 182
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