Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Statistical mechanics for metabolic networks during steady state growth
Daniele De Martino, Anna M. C. Andersson, Tobias Bergmiller, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Addressing uncertainty in genome-scale metabolic model reconstruction and analysis
David B. Bernstein, Snorre Sulheim, Eivind Almaas, et al.
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 112
An introduction to the maximum entropy approach and its application to inference problems in biology
Andrea De Martino, Daniele De Martino
Heliyon (2018) Vol. 4, Iss. 4, pp. e00596-e00596
Open Access | Times Cited: 95
The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints
Daan H. de Groot, Julia Lischke, Riccardo Muolo, et al.
Cellular and Molecular Life Sciences (2019) Vol. 77, Iss. 3, pp. 441-453
Open Access | Times Cited: 68
Information Theory in Computational Biology: Where We Stand Today
Pritam Chanda, Eduardo Costa, Jie Hu, et al.
Entropy (2020) Vol. 22, Iss. 6, pp. 627-627
Open Access | Times Cited: 46
Boost carbon availability and value in algal cell for economic deployment of biomass
Han Sun, Xiaojie Li, Yuanyuan Ren, et al.
Bioresource Technology (2019) Vol. 300, pp. 122640-122640
Closed Access | Times Cited: 37
Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
Joris J. B. Messelink, Muriel C. F. van Teeseling, Jacqueline Janssen, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 29
Predicting the decision making chemicals used for bacterial growth
Kazuha Ashino, Kenta Sugano, Toshiyuki Amagasa, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 34
Statistical analysis and optimality of neural systems
Wiktor Młynarski, Michal Hledík, Thomas R. Sokolowski, et al.
Neuron (2021) Vol. 109, Iss. 7, pp. 1227-1241.e5
Open Access | Times Cited: 25
“Minimal metabolism”: A key concept to investigate the origins and nature of biological systems
Nino Lauber, Christoph Flamm, Kepa Ruiz‐Mirazo
BioEssays (2021) Vol. 43, Iss. 10
Open Access | Times Cited: 22
Maximum entropy and population heterogeneity in continuous cell cultures
Jorge Fernández-de-Cossio-Díaz, Roberto Mulet
PLoS Computational Biology (2019) Vol. 15, Iss. 2, pp. e1006823-e1006823
Open Access | Times Cited: 24
COVRECON: automated integration of genome- and metabolome-scale network reconstruction and data-driven inverse modeling of metabolic interaction networks
Jiahang Li, Steffen Waldherr, Wolfram Weckwerth
Bioinformatics (2023) Vol. 39, Iss. 7
Open Access | Times Cited: 7
Relationship between fitness and heterogeneity in exponentially growing microbial populations
Anna Paola Muntoni, Alfredo Braunstein, Andrea Pagnani, et al.
Biophysical Journal (2022) Vol. 121, Iss. 10, pp. 1919-1930
Open Access | Times Cited: 9
Information geometry in the population dynamics of bacteria
Zihan Zhang, Shaohua Guan, Hualin Shi
Journal of Statistical Mechanics Theory and Experiment (2020) Vol. 2020, Iss. 7, pp. 073501-073501
Closed Access | Times Cited: 14
Dynamic metabolic resource allocation based on the maximum entropy principle
David S. Tourigny
Journal of Mathematical Biology (2020) Vol. 80, Iss. 7, pp. 2395-2430
Open Access | Times Cited: 12
Probing Single-Cell Fermentation Fluxes and Exchange Networks via pH-Sensing Hybrid Nanofibers
Valentina Onesto, Stefania Forciniti, Francesco Alemanno, et al.
ACS Nano (2022) Vol. 17, Iss. 4, pp. 3313-3323
Open Access | Times Cited: 7
Feedback-induced self-oscillations in large interacting systems subjected to phase transitions
Daniele De Martino
Journal of Physics A Mathematical and Theoretical (2018) Vol. 52, Iss. 4, pp. 045002-045002
Open Access | Times Cited: 10
Statistical mechanics of interacting metabolic networks
Jorge Fernández-de-Cossio-Díaz, Roberto Mulet
Physical review. E (2020) Vol. 101, Iss. 4
Open Access | Times Cited: 9
Phenotype-specific estimation of metabolic fluxes using gene expression data
Nicolás González-Arrué, Isidora Inostroza, Raúl Conejeros, et al.
iScience (2023) Vol. 26, Iss. 3, pp. 106201-106201
Open Access | Times Cited: 3
Control Theory and Systems Biology: Potential Applications in Neurodegeneration and Search for Therapeutic Targets
Andrea Angarita-Rodríguez, Yeimy González‐Giraldo, Juan J. Rubio-Mesa, et al.
International Journal of Molecular Sciences (2023) Vol. 25, Iss. 1, pp. 365-365
Open Access | Times Cited: 3
Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes
Daniele De Martino
Physical review. E (2017) Vol. 96, Iss. 6
Open Access | Times Cited: 4
The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints
Daan H. de Groot, Julia Lischke, Riccardo Muolo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 4
Statistical analysis and optimality of neural systems
Wiktor Młynarski, Michal Hledík, Thomas R. Sokolowski, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 4
Metabolic flux configuration determination using information entropy
Marcelo Rivas‐Astroza, Raúl Conejeros
PLoS ONE (2020) Vol. 15, Iss. 12, pp. e0243067-e0243067
Open Access | Times Cited: 4
Inference of metabolic fluxes in nutrient-limited continuous cultures: A Maximum Entropy approach with the minimum information
José Antonio Pereiro-Morejón, Jorge Fernández-de-Cossio-Díaz, Roberto Mulet
iScience (2022) Vol. 25, Iss. 12, pp. 105450-105450
Open Access | Times Cited: 3
COVRECON: Combining Genome-scale Metabolic Network Reconstruction and Data-driven Inverse Modeling to Reveal Changes in Metabolic Interaction Networks
Jiahang Li, Steffen Waldherr, Wolfram Weckwerth
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top