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Introduction to mathematical oncology
Yang Kuang
, John D. Nagy, Steffen E. Eikenberry
Mathematical and Statistical Sciences, School of (SoMSS)
Mathematical Computational Modeling Sciences Center, Simon A. Levin (MCMSC)
CRESMET
Research output
:
Book/Report
›
Book
73
Scopus citations
Overview
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Mathematics
Oncology
100%
Cancer
44%
Tumor Growth
35%
Biology
28%
Text
26%
Background
24%
Multiscale Modeling
21%
Cell Size
20%
Prostate Cancer
20%
Model
18%
Spatial Structure
18%
Modeling
18%
Dynamical Model
17%
Population Growth
17%
Growth Model
15%
Tumor
15%
Remainder
14%
Population Model
14%
Numerical Study
13%
Programming
13%
Model-based
12%
Continue
12%
Ordinary differential equation
11%
Mathematical Model
10%
Cell
10%
Cover
10%
Partial differential equation
10%
Design
8%
Context
8%
Agriculture & Biology
neoplasms
36%
differential equation
20%
college students
17%
Biological Sciences
11%
prostatic neoplasms
10%
mathematics
10%
teachers
10%
growth models
8%
population growth
7%
mathematical models
7%
medicine
7%
cells
5%
methodology
2%
Medicine & Life Sciences
Neoplasms
23%
Growth
18%
Mathematics
15%
Population Growth
14%
Cell Size
12%
Therapeutics
9%
Theoretical Models
9%
Prostatic Neoplasms
9%
Medicine
8%
Chemical Compounds
Application
22%