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Cited by 288

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

The Model Muddle: In Search of Tumor Growth Laws

Open access
Gerlee, Philip·2013·Cancer Research

Abstract

In this article, we will trace the historical development of tumor growth laws, which in a quantitative fashion describe the increase in tumor mass/volume over time. These models are usually formulated in terms of differential equations that relate the growth rate of the tumor to its current state and range from the simple one-parameter exponential growth model to more advanced models that contain a large number of parameters. Understanding the assumptions and consequences of such models is important, as they often underpin more complex models of tumor growth. The conclusion of this brief survey is that although much improvement has occurred over the last century, more effort and new models are required if we are to understand the intricacies of tumor growth. Cancer Res; 73(8); 2407–11. ©2013 AACR.

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Metadata

Authors
Gerlee, P.
Venue
Cancer Research
Published
2013-04-15
Volume
73
Issue
8
Pages
2407-2411
ISSN
  • 0008-5472 (ISSN-L)
  • 1538-7445
OpenAlex
W2123669082
Cited by
288
References
15
FWCI
11.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Model Muddle: In Search of Tumor Growth Laws. https://app.cochat.ai/papers/10.1158/0008-5472.can-12-4355
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Gerlee, P. (2013). The Model Muddle: In Search of Tumor Growth Laws. Cancer Research. https://doi.org/10.1158/0008-5472.can-12-4355

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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.