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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:

Inheritance and variability of kinetic gene expression parameters in microbial cells: modeling and inference from lineage tree data
Aline Marguet, Marc Lavielle, Eugenio Cinquemani
Bioinformatics (2019) Vol. 35, Iss. 14, pp. i586-i595
Open Access | Times Cited: 11

Showing 11 citing articles:

Stochastic Individual-Based Modeling of Bacterial Growth and Division Using Flow Cytometry
Míriam R. García, José Antonio Vázquez, I. G. Teixeira, et al.
Frontiers in Microbiology (2018) Vol. 8
Open Access | Times Cited: 34
A Population-Based Approach to Study the Effects of Growth and Division Rates on the Dynamics of Cell Size Statistics
Niccolò Totis, César Nieto, Armin Küper, et al.
IEEE Control Systems Letters (2020) Vol. 5, Iss. 2, pp. 725-730
Closed Access | Times Cited: 18
Stochastic models coupling gene expression and partitioning in cell division in Escherichia coli
Ines S.C. Baptista, André S. Ribeiro
Biosystems (2020) Vol. 193-194, pp. 104154-104154
Open Access | Times Cited: 13
Fine-Tuning of Energy Levels Regulates SUC2 via a SNF1-Dependent Feedback Loop
Sebastian Persson, Niek Welkenhuysen, Sviatlana Shashkova, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 10
Experimental analysis and modeling of single-cell time-course data
Eline Y. Bijman, Hans‐Michael Kaltenbach, Jörg Stelling
Current Opinion in Systems Biology (2021) Vol. 28, pp. 100359-100359
Open Access | Times Cited: 8
Inference of Tree-Structured Auto-Regressive Models of Gene Expression Parameters from Generation-Snapshot Data
Emrys Reginato, Aline Marguet, Eugenio Cinquemani
2022 European Control Conference (ECC) (2024), pp. 838-843
Open Access
Cell size statistics in cell lineages and population snapshots with different growth regimes and division strategies
Niccolò Totis, César Nieto, Armin Küper, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 3
Efficient algorithms for covariate analysis with dynamic data using nonlinear mixed-effects model
Min Yuan, Zhigang Zhu, Yaning Yang, et al.
Statistical Methods in Medical Research (2020) Vol. 30, Iss. 1, pp. 233-243
Closed Access | Times Cited: 3
Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data
Yi Li, Yaning Yang, Xu Steven Xu, et al.
Computational Biology and Chemistry (2022) Vol. 99, pp. 107697-107697
Closed Access
Identification of stochastic gene expression models over lineage trees
Aline Marguet, Eugenio Cinquemani
IFAC-PapersOnLine (2021) Vol. 54, Iss. 7, pp. 150-155
Open Access
Desarrollo de una herramienta de software libre para el modelado de la expresión génica de poblaciones celulares
Saavedra Arce, Brayam Andres
(2021)
Closed Access
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