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:

Genome-scale metabolic network reconstruction of model animals as a platform for translational research
Hao Wang, Jonathan L. Robinson, Pınar Kocabaş, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 30
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Applications of multi‐omics analysis in human diseases
Chongyang Chen, Jing Wang, Donghui Pan, et al.
MedComm (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 169

Mitochondrial ATP generation is more proteome efficient than glycolysis
Yihui Shen, Hoang V. Dinh, Edward R. Cruz, et al.
Nature Chemical Biology (2024) Vol. 20, Iss. 9, pp. 1123-1132
Closed Access | Times Cited: 35

Hepatic stellate cells control liver zonation, size and functions via R-spondin 3
Atsushi Sugimoto, Yoshinobu Saito, Guanxiong Wang, et al.
Nature (2025)
Open Access | Times Cited: 2

Modeling Alzheimer’s Disease in Caenorhabditis elegans
Javier Álvarez, Pilar Álvarez-Illera, Jaime Santo‐Domingo, et al.
Biomedicines (2022) Vol. 10, Iss. 2, pp. 288-288
Open Access | Times Cited: 48

Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx
Homa MohammadiPeyhani, Jasmin Hafner, Anastasia Sveshnikova, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 38

Integrated multi-omics reveals anaplerotic rewiring in methylmalonyl-CoA mutase deficiency
Patrick Forny, Ximena Bonilla, David Lamparter, et al.
Nature Metabolism (2023) Vol. 5, Iss. 1, pp. 80-95
Open Access | Times Cited: 35

Teasing out missing reactions in genome-scale metabolic networks through hypergraph learning
Can Chen, Chen Liao, Yang‐Yu Liu
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 31

Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data
Johan Gustafsson, Mihail Anton, Fariba Roshanzamir, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 6
Open Access | Times Cited: 30

Transcriptomics-driven metabolic pathway analysis reveals similar alterations in lipid metabolism in mouse MASH model and human
Sofia Tsouka, Pavitra Kumar, Patcharamon Seubnooch, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 10

Deciphering and designing microbial communities by genome-scale metabolic modelling
Shengbo Wu, Zheping Qu, Danlei Chen, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1990-2000
Open Access | Times Cited: 10

Vagus nerve stimulation enhances remyelination and decreases innate neuroinflammation in lysolecithin-induced demyelination
Helen Bachmann, Boris Vandemoortele, Vanessa Vermeirssen, et al.
Brain stimulation (2024) Vol. 17, Iss. 3, pp. 575-587
Open Access | Times Cited: 9

GEMCAT—a new algorithm for gene expression-based prediction of metabolic alterations
Suraj Sharma, Roland Sauter, Madlen Hotze, et al.
NAR Genomics and Bioinformatics (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 1

Multi-HGNN: Multi-modal hypergraph neural networks for predicting missing reactions in metabolic networks
Yamei Huang, Xudong Liang, Tao Lin, et al.
Information Sciences (2025), pp. 121960-121960
Closed Access | Times Cited: 1

Single cell metabolism: current and future trends
Ahmed Ali, Shawn M. Davidson, Ernest Fraenkel, et al.
Metabolomics (2022) Vol. 18, Iss. 10
Open Access | Times Cited: 32

Flux sampling in genome-scale metabolic modeling of microbial communities
Patrick E. Gelbach, Handan Çetin, Stacey D. Finley
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6

Omics-based biomarkers discovery for Alzheimer's disease
Qiaolifan Aerqin, Zuo-Teng Wang, Kaimin Wu, et al.
Cellular and Molecular Life Sciences (2022) Vol. 79, Iss. 12
Closed Access | Times Cited: 26

Metabolic collaboration between cells in the tumor microenvironment has a negligible effect on tumor growth
Johan Gustafsson, Fariba Roshanzamir, Anders Hagnestål, et al.
The Innovation (2024) Vol. 5, Iss. 2, pp. 100583-100583
Open Access | Times Cited: 5

Mixotrophic growth of a ubiquitous marine diatom
Manish Kumar, Juan D. Tibocha‐Bonilla, Zoltán Füssy, et al.
Science Advances (2024) Vol. 10, Iss. 29
Open Access | Times Cited: 5

standard-GEM: standardization of open-source genome-scale metabolic models
Mihail Anton, Eivind Almaas, Rui Benfeitas, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 12

Impaired neuron differentiation in GBA-associated Parkinson’s disease is linked to cell cycle defects in organoids
Isabel Rosety, Alise Žagare, Cláudia Saraiva, et al.
npj Parkinson s Disease (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 12

PathDIP 5: improving coverage and making enrichment analysis more biologically meaningful
Chiara Pastrello, Max Kotlyar, Mark Abovsky, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D663-D671
Open Access | Times Cited: 11

Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data
Andrea Angarita-Rodríguez, Nicolás Mendoza-Mejía, Janneth González, et al.
Frontiers in Systems Biology (2025) Vol. 4
Open Access

IMPC impact on preclinical mouse models
Sabine M. Hölter, Pilar Cacheiro, Damian Smedley, et al.
Mammalian Genome (2025)
Open Access

Unraveling the metabolic heterogeneity and commonality in senescent cells using systems modeling
Gong‐Hua Li, Yuhong Li, Yu Qin, et al.
Life Medicine (2025) Vol. 4, Iss. 2
Open Access

Nicotinamide as potential biomarker for Alzheimer’s disease: A translational study based on metabolomics
Carolina Dalmasso, Martı́n Arán, Pablo Galeano, et al.
Frontiers in Molecular Biosciences (2023) Vol. 9
Open Access | Times Cited: 10

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