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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:

From energy to cellular forces in the Cellular Potts Model: An algorithmic approach
Elisabeth G. Rens, Leah Edelstein‐Keshet
PLoS Computational Biology (2019) Vol. 15, Iss. 12, pp. e1007459-e1007459
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Beyond boundaries a hybrid cellular potts and particle swarm optimization model for energy and latency optimization in edge computing
Dinesh Kumar Sahu, Nidhi Nidhi, Shiv Prakash, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Cell Shape and Durotaxis Explained from Cell-Extracellular Matrix Forces and Focal Adhesion Dynamics
Elisabeth G. Rens, Roeland M. H. Merks
iScience (2020) Vol. 23, Iss. 9, pp. 101488-101488
Open Access | Times Cited: 82
Bridging from single to collective cell migration: A review of models and links to experiments
Andreas Buttenschön, Leah Edelstein‐Keshet
PLoS Computational Biology (2020) Vol. 16, Iss. 12, pp. e1008411-e1008411
Open Access | Times Cited: 73
Hybrid cellular Potts and bead-spring modeling of cells in fibrous extracellular matrix
Erika Tsingos, Bente Hilde Bakker, Koen A.E. Keijzer, et al.
Biophysical Journal (2023) Vol. 122, Iss. 13, pp. 2609-2622
Open Access | Times Cited: 17
Poissonian Cellular Potts Models Reveal Nonequilibrium Kinetics of Cell Sorting
Roman Belousov, Silvio Di Savino, Prachiti Moghe, et al.
Physical Review Letters (2024) Vol. 132, Iss. 24
Open Access | Times Cited: 6
The mechanics and dynamics of cancer cells sensing noisy 3D contact guidance
Jihan Kim, Yuansheng Cao, Christopher Eddy, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 10
Open Access | Times Cited: 31
A Review of Mathematical and Computational Methods in Cancer Dynamics
Abicumaran Uthamacumaran, Héctor Zenil
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 18
Linking discrete and continuous models of cell birth and migration
W. Duncan Martinson, Alexandria Volkening, Markus Schmidtchen, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 7
Open Access | Times Cited: 3
Artistoo, a library to build, share, and explore simulations of cells and tissues in the web browser
Inge M. N. Wortel, Johannes Textor
eLife (2021) Vol. 10
Open Access | Times Cited: 23
Theory and simulation for equilibrium glassy dynamics in cellular Potts model of confluent biological tissue
Souvik Sadhukhan, Saroj Kumar Nandi
Physical review. E (2021) Vol. 103, Iss. 6
Open Access | Times Cited: 18
Polarity and mixed-mode oscillations may underlie different patterns of cellular migration
Lucie Plazen, Jalal Al Rahbani, Claire M. Brown, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Physical confinement and cell proximity increase cell migration rates and invasiveness: A mathematical model of cancer cell invasion through flexible channels
Qiyao Peng, F.J. Vermolen, Daphne Weihs
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2023) Vol. 142, pp. 105843-105843
Open Access | Times Cited: 7
Membrane Tension Can Enhance Adaptation to Maintain Polarity of Migrating Cells
Cole Zmurchok, Jared Collette, Vijay Rajagopal, et al.
Biophysical Journal (2020) Vol. 119, Iss. 8, pp. 1617-1629
Open Access | Times Cited: 19
Computational modelling of cell motility modes emerging from cell-matrix adhesion dynamics
Leonie van Steijn, Inge M. N. Wortel, Clément Sire, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 2, pp. e1009156-e1009156
Open Access | Times Cited: 10
Biophysical models of early mammalian embryogenesis
Alaina J. Cockerell, Liam Wright, Anish Dattani, et al.
Stem Cell Reports (2023) Vol. 18, Iss. 1, pp. 26-46
Open Access | Times Cited: 6
Self-organized multicellular structures from simple cell signaling: a computational model
Nicola Mulberry, Leah Edelstein‐Keshet
Physical Biology (2020) Vol. 17, Iss. 6, pp. 066003-066003
Closed Access | Times Cited: 16
Multicellular mechanochemical hybrid cellular Potts model of tissue formation during epithelial‐mesenchymal transition
Shreyas U. Hirway, Christopher A. Lemmon, Seth H. Weinberg
Computational and Systems Oncology (2021) Vol. 1, Iss. 4
Open Access | Times Cited: 13
Density-Dependent Migration Characteristics of Cancer Cells Driven by Pseudopod Interaction
Gerhard A. Burger, Bob van de Water, Sylvia E. Le Dévédec, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 9
Computational approaches for simulating luminogenesis
Kana Fuji, Sakurako Tanida, Masaki Sano, et al.
Seminars in Cell and Developmental Biology (2022) Vol. 131, pp. 173-185
Open Access | Times Cited: 9
A review of computational modeling, machine learning and image analysis in cancer metastasis dynamics
Shreyas U. Hirway, Seth H. Weinberg
Computational and Systems Oncology (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 5
Computational models of migration modes improve our understanding of metastasis
Gabriel Shatkin, Benjamin Yeoman, Katherine G. Birmingham, et al.
APL Bioengineering (2020) Vol. 4, Iss. 4
Open Access | Times Cited: 13
A Cellular Potts Model for Analyzing Cell Migration across Constraining Pillar Arrays
Marco Scianna, Luigi Preziosi
Axioms (2021) Vol. 10, Iss. 1, pp. 32-32
Open Access | Times Cited: 12
A multiscale whole-cell theory for mechanosensitive migration on viscoelastic substrates
Wenya Shu, C. Nadir Kaplan
Biophysical Journal (2022) Vol. 122, Iss. 1, pp. 114-129
Open Access | Times Cited: 8
A differentiable programming framework for spin models
Tiago de Souza Farias, Vitor V. Schultz, José C. M. Mombach, et al.
Computer Physics Communications (2024) Vol. 302, pp. 109234-109234
Closed Access | Times Cited: 1
Can computers conceive the complexity of cancer to cure it? Using artificial intelligence technology in cancer modelling and drug discovery
Rachael C. Adams, Behnam Rashidieh
Mathematical Biosciences & Engineering (2020) Vol. 17, Iss. 6, pp. 6515-6530
Open Access | Times Cited: 9
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