A “universal” model of metastatic cancer, its parametric forms and their identification: what can be learned from site-specific volumes of metastases
Work
Year: 2015
Type: article
Source: Journal of Mathematical Biology
Cites: 21
Cited by: 18
Related to: 10
FWCI: 0.742
Citation percentile (by year/subfield): 73.28
Topic: Cancer Cells and Metastasis
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: closed