Modelling biological modularity with CellML

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Cite
Cooling, M.T., et al. “Modelling Biological Modularity With CellML”. IET Systems Biology, vol. 2, no. 2, 2008, pp. 73-79, https://doi.org/10.1049/iet-syb:20070020.
Cooling, M., Crampin, E., & Hunter, P. (2008). Modelling biological modularity with CellML. IET Systems Biology, 2(2), 73-79. https://doi.org/10.1049/iet-syb:20070020
Cooling M, Crampin E, Hunter P. Modelling biological modularity with CellML. IET Systems Biology. 2008;2(2):73-9.
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Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
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Refrences
Title Journal Journal Categories Citations Publication Date
Modeling Hypertrophic IP3 Transients in the Cardiac Myocyte Biophysical Journal
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
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15 2006
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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Citations
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Parameter Optimisation for FCϵRIγ Pathway to Two Different Datasets Using Least-Squares Optimisation

Pertanika Journal of Science and Technology 2022
Characteristics of mathematical modeling languages that facilitate model reuse in systems biology: a software engineering perspective

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  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
3 2021
Silencing SHMT2 inhibits the progression of tongue squamous cell carcinoma through cell cycle regulation

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Hierarchical semantic composition of biosimulation models using bond graphs

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Ca2+ Release via IP3 Receptors Shapes the Cardiac Ca2+ Transient for Hypertrophic Signaling Biophysical Journal
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Citations Analysis
The category Science: Biology (General) 14 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Using Physiome standards to couple cellular functions for rat cardiac excitation–contraction and was published in 2008. The most recent citation comes from a 2022 study titled Parameter Optimisation for FCϵRIγ Pathway to Two Different Datasets Using Least-Squares Optimisation. This article reached its peak citation in 2009, with 7 citations. It has been cited in 16 different journals, 43% of which are open access. Among related journals, the Bioinformatics cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year