The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Three-dimensional multispecies nonlinear tumor growth—I
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Free Energy of a Nonuniform System. I. Interfacial Free Energy
Cahn, J. W., & Hilliard, J. E. (1958) · The Journal of Chemical Physics · doi:10.1063/1.1744102 · Cited by 10,437
Efficient Implementation of Weighted ENO Schemes
Jiang, G.-S., & Shu, C.-W. (1996) · Journal of Computational Physics · doi:10.1006/jcph.1996.0130 · Cited by 6,571
Molecular theory of capillarity
Rowlinson, J. S., & Widom, B. (1982) · Cited by 2,854
Molecular Theory of Capillarity
Rickayzen, G. (1983) · Physics Bulletin · doi:10.1088/0031-9112/34/10/030 · Cited by 2,642
The microenvironment of the tumour–host interface
Liotta, L. A., & Kohn, E. C. (2001) · Nature · doi:10.1038/35077241 · Cited by 2,310
Hypoxia-mediated selection of cells with diminished apoptotic potential in solid tumours
Graeber, T. G., Osmanian, C., Jacks, T., Housman, D. E., Koch, C. J., Lowe, S. W., & Giaccia, A. J. (1996) · Nature · doi:10.1038/379088a0 · Cited by 2,300
Mathematical Biology: I. An Introduction
(2002) · Interdisciplinary Applied Mathematics · doi:10.1007/b98868 · Cited by 1,763
Tumor Morphology and Phenotypic Evolution Driven by Selective Pressure from the Microenvironment
Anderson, A. R. A., Weaver, A. M., Cummings, P. T., & Quaranta, V. (2006) · Cell · doi:10.1016/j.cell.2006.09.042 · Cited by 754
Slack, J. M. W. (2020) · Principles of Tissue Engineering · doi:10.1016/b978-0-12-818422-6.00005-8 · Cited by 742
Biomechanics: motion, flow, stress, and growth
(1990) · Choice Reviews Online · doi:10.5860/choice.28-2130 · Cited by 729
Research works printed but not linked: 23
- Anderson, 1998, Diffuse-interface methods in fluid mechanics, Ann. Rev. Fluid Mech., 30, 139, 10.1146/annurev.fluid.30.1.139 · doi:10.1146/annurev.fluid.30.1.139
- Armstrong, 1971, Light and electron microscope studies of cell sorting in combinations of chick embryo and neural retina and retinal pigment epithelium, Wilhelm Roux Arch., 168, 125, 10.1007/BF00581804 · doi:10.1007/bf00581804
- Badalessi, 2003, Computation of multiphase systems with phase field models, J. Comput. Phys., 190, 371, 10.1016/S0021-9991(03)00280-8 · doi:10.1016/s0021-9991(03)00280-8
- Ben-Amar, 2005, Growth and instability in elastic tissues, J. Mech. Phys. Solids, 53, 2284, 10.1016/j.jmps.2005.04.008 · doi:10.1016/j.jmps.2005.04.008
- Byrne, 2003, A two-phase model of solid tumor growth, Appl. Math. Lett., 16, 567, 10.1016/S0893-9659(03)00038-7 · DOI · Paper page
- Chen, 2003, A free boundary problem for an elliptic–hyperbolic system: an application to tumor growth, SIAM J. Math. Anal., 35, 974, 10.1137/S0036141002418388 · doi:10.1137/s0036141002418388
- Cohen, 1981, A generalized diffusion model for growth and dispersal in a population, J. Math. Biol., 12, 237, 10.1007/BF00276132 · doi:10.1007/bf00276132
- Franks, 2003, Interactions between a uniformly proliferating tumor and its surrounding. Uniform material properties, Math. Med. Biol., 20, 47, 10.1093/imammb/20.1.47 · doi:10.1093/imammb/20.1.47
- Franks, 2003, Mathematical modeling of comedo ductal carcinoma in situ of the breast, Math. Med. Biol., 20, 277, 10.1093/imammb/20.3.277 · doi:10.1093/imammb/20.3.277
- Friedman, 1999, Analysis of a mathematical model for the growth of tumors, J. Math. Biol., 38, 262, 10.1007/s002850050149 · doi:10.1007/s002850050149
- Hogea, 2006, Simulating complex tumor dynamics from avascular to vascular growth using a general level-set method, J. Math. Biol., 53, 86, 10.1007/s00285-006-0378-2 · doi:10.1007/s00285-006-0378-2
- Jou, 1998, A diffuse interface model for microstructural evolution in elastically stressed solids, Acta Mater., 46, 2113, 10.1016/S1359-6454(97)00377-7 · doi:10.1016/s1359-6454(97)00377-7
- Kim, 2005, A continuous surface tension force formulation for diffuse-interface models, J. Comput. Phys., 204, 784, 10.1016/j.jcp.2004.10.032 · doi:10.1016/j.jcp.2004.10.032
- Kim, 2003, Conservative multigrid methods for Cahn–Hilliard fluids, J. Comput. Phys., 193, 511, 10.1016/j.jcp.2003.07.035 · doi:10.1016/j.jcp.2003.07.035
- Lee, 2002, Modeling pinchoff and reconnection in a Hele–Shaw cell. I. The models and their calibration, Phys. Fluids, 2, 492, 10.1063/1.1425843 · doi:10.1063/1.1425843
- Lowengrub, 1998, Cahn–Hilliard fluids and topological transitions, Proc. R. Soc. London A, 454, 2617, 10.1098/rspa.1998.0273 · doi:10.1098/rspa.1998.0273
- Lubarda, 2002, On the mechanics of solids with a growing mass, Int. J. Solids Struct., 39, 4627, 10.1016/S0020-7683(02)00352-9 · doi:10.1016/s0020-7683(02)00352-9
- Macklin, 2005, Evolving interfaces via gradients of geometry-dependent interior Poisson problems: application to tumor growth, J. Comput. Phys., 203, 191, 10.1016/j.jcp.2004.08.010 · doi:10.1016/j.jcp.2004.08.010
- Macklin, 2006, An improved geometry-aware curvature discretization for level set methods: application to tumor growth, J. Comput. Phys., 215, 392, 10.1016/j.jcp.2005.11.016 · doi:10.1016/j.jcp.2005.11.016
- Macklin, P., Lowengrub, J., 2007. A new ghost cell/level set method for moving boundary problems: application to tumor growth. J. Sci. Comput., in press, doi:10.1007/S10915-008-9190-Z. · doi:10.1007/s10915-008-9190-z
- Pego, 1989, Front migration in the nonlinear Cahn–Hilliard equation, Proc. R. Soc. London A, 422, 261, 10.1098/rspa.1989.0027 · doi:10.1098/rspa.1989.0027
- Wise, 2007, Solving the regularized, strongly anisotropic Chan–Hilliard equation by an adaptive nonlinear multigrid method, J. Comput. Phys., 226, 414, 10.1016/j.jcp.2007.04.020 · doi:10.1016/j.jcp.2007.04.020
- Yue, 2005, Computation of multiphase systems with phase field models, Phys. Fluids, 17, 123101, 10.1063/1.2139630 · doi:10.1063/1.2139630
Cited by
Nonlinear modelling of cancer: bridging the gap between cells and tumours
Lowengrub, J. S., Frieboes, H. B., Jin, F., Chuang, Y.-L., Li, X., Macklin, P., Wise, S. M., & Cristini, V (2010) · Nonlinearity · doi:10.1088/0951-7715/23/1/r01 · Cited by 553
Self-citationDeisboeck, T. S., Wang, Z., Macklin, P., & Cristini, V. (2011) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071910-124729 · Cited by 458
Self-citationKoay, E. J., Lee, Y., Cristini, V., Lowengrub, J. S., Kang, Y., Lucas, F. A. S., Hobbs, B. P., Ye, R., Elganainy, D., Almahariq, M., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-3668 · Cited by 110
Self-citationWhen the Optimal Is Not the Best: Parameter Estimation in Complex Biological Models
Fernández Slezak, D., Suárez, C., Cecchi, G. A., Marshall, G., & Stolovitzky, G. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013283 · Cited by 57
“Over the last ten years increasingly complex mathematical models of cancerous growth have been developed, in particular on solid tumors, in which growth primarily comes from cellular proliferation [10,11].”
BackgroundGiverso, C., & Preziosi, L. (2019) · International Journal of Non-Linear Mechanics · doi:10.1016/j.ijnonlinmec.2018.10.005 · Cited by 27
Metadata
- Authors
- Wise, S. M., Lowengrub, J. S., Frieboes, H. B., & Cristini, V.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 253
- Issue
- 3
- Pages
- 524-543
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W1512153219
- Cited by
- 484
- References
- 72
- FWCI
- 16.73
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Three-dimensional multispecies nonlinear tumor growth—I. https://app.cochat.ai/papers/10.1016/j.jtbi.2008.03.027
- The paper
- Wise, S. M., Lowengrub, J. S., Frieboes, H. B., & Cristini, V. (2008). Three-dimensional multispecies nonlinear tumor growth—I. Journal of Theoretical Biology. https://doi.org/10.1016/j.jtbi.2008.03.027
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.