Mathematical Oncology

Three facts you did not know about publishing in Mathematical Oncology

Behind the paper

Written by Franco Pradelli - February 17, 2026



75 years of mathematical oncology

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 preprint
Publishing, and interacting with journals and editors, is an integral part of a scientist’s job. Choosing the right venue for a scientific result is far closer to an art than to a science, and it can often be a source of stress even for experienced researchers.

Recently, we released a historical perspective on the field of Mathematical Oncology, 75 Years of Mathematical Oncology, in which we dedicated part of our analysis to the journals that have hosted and shaped the scientific discussion in the field. Owing to space constraints, the manuscript could only highlight the most prominent journals. To complement this, we have now released an interactive list of the top 500 journals in our dataset. This resource is designed to help researchers identify potential publication venues that align with their work, and may prove especially valuable when navigating an increasingly crowded publishing landscape.

Beyond journals themselves, our analysis offered broader insights into how mathematical models in cancer are published and disseminated. Here, we highlight three findings that emerged from our study, facts you may not know about publishing in Mathematical Oncology.

Fact 1: Sharing your work increases your citations

Open Access (OA) remains a controversial topic in science, particularly when associated with high article processing charges (APCs). As a result, many researchers question whether Open Access publishing is truly worth the cost.

In Mathematical Oncology, our data show that Open Access does increase citation counts—but that freely sharing your work does even more. While all forms of OA are associated with higher citations, Green Open Access (i.e., making a manuscript available through a preprint repository) stands out providing the highest citations per year on average (Fig. 1f).

In practical terms, if you are not already sharing your work on platforms such as arXiv, bioRxiv, or medRxiv, the evidence suggests it may be time to reconsider.

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Figure 1: Empirical Cumulative Distribution of the total number of citations (a-c) and of the citations per year (d-f) for the documents in our dataset. OA = Open Access, NOA = Not Open Access. The different types of Open Access in c and f represent the subdivision adopted by Scopus, and green open access represent “papers available through a repository.”


Fact 2: Journal of the Royal Society Interface truly sits at the interface

This one genuinely surprised us.

One of the core tools in bibliometrics is bibliographic coupling: constructing networks in which journals (or authors) are grouped according to shared citation patterns. Applying this approach allowed us to produce one of our favorite figures in 75 Years of Mathematical Oncology (Figure 5 of the manuscript), mapping the intellectual structure of the field. When we performed the same analysis at the journal level, a striking pattern emerged. Medical and biological journals clustered tightly together; mathematical and computational journals formed a separate group. And sitting squarely between them was the Journal of the Royal Society Interface.

Given that the description of the journal reads:
“J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences”

This positioning in our network suggests remarkable success. Few journals so literally occupy the conceptual space their title implies.

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Figure 2: Bibliographic mapping of the top 25 journals in our dataset, produced using VosViewer. Each node in the graph represents a journal. The dimension of each node is proportional to the number of documents published in that venue, while the connection and relative distance between the nodes is proportional to the tendency to cite the same references. Thus, the position of The Journal Society Interface reflects a tendency of papers published in this venue to write on ideas coming from every domain.


Fact 3: Interdisciplinarity has always been intrinsic to the field

That Mathematical Oncology is interdisciplinary is hardly controversial. What is surprising is how deeply this interdisciplinarity is embedded in the field’s history.

By examining journals that published mathematical oncology research over the past 75 years, we found that papers have consistently appeared in mathematical, biological, and medical journals in roughly equal proportions—from the earliest decades to the present day. This balance is not a recent development driven by modern funding priorities or translational rhetoric; it is a defining feature of the discipline.

Mathematical Oncology has always positioned itself at the crossroads of fields, integrating quantitative tools with biological and clinical insight. Its translational character is not an aspiration—it is a historical reality.

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Figure 3: Top 20 Journals in our dataset (left), distribution of quartiles and subject areas (middle), and evolution of the distribution of the subject areas in time (right). Note that more than 50% of the publications in the field are divided between Medicine, Math, and Biochemistry, confirming the interdisciplinary vocation of the field.


Now that you know a bit more about Mathematical Oncology and its publishing landscape, we hope these insights will be useful as you plan your next submission. If you haven’t already, explore our interactive journal resource. And, of course, dive into 75 Years of Mathematical Oncology for the full story.
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