This page presents an extended, interactive version of the scientific journal ranking we presented in 75 Years of Mathematical Oncology. We provide this ranking to support researchers in the field of mathematical oncology and beyond in exploring our findings independently and identifying journals of potential interest for their research. This ranking was derived from the analysis of our Scopus query-based dataset, which includes scientific publications matching a curated set of 1) oncology-related terms (e.g., Tumor, Cancer, Radiotherapy) and 2) mathematical-related terms (e.g., "Mathematical modeling", "Agent-based Modeling", etc.). Additional information is provided in our preprint’s Methods section. Data is through the end of 2024.
Franco Pradelli, Maximilian Strobl, Sadegh Marzban, François de Kermenguy, Ari Barnett, Katyayni Ganesan, Guillermo Lorenzo, David A. Hormuth II, Sara Hamis, Dhananjay Bhaskar, Alexander R. A. Anderson, Jeffrey West
Read the paperThe top 500 journals in our dataset are sorted by the number of published papers. Each journal is color-coded by its "quartile", which is a measure of the average impact of the articles in the journals contextualized for its broad scientific areas (for instance, the top 25% most cited journals for the field of "Mathematics" are "Q1" for that area, while the less cited are in "Q4"; see the preprint for additional information).
Below, you can filter the journals by their broad subject area (e.g., "Medicine", "Engineering") or by a keyword of your interest (e.g., try to type "Mathematical Oncology"!). Or, click the journal name on the left to be redirected to the most cited example of math oncology published there. Hover over each journal bar to see: