Cancer Research Impact Factor
Cancer Research impact factor is 16.6. See the current rank, quartile, and what the number actually means before you submit.
Senior Researcher, Oncology & Cell Biology
Author context
Specializes in manuscript preparation and peer review strategy for oncology and cell biology, with deep experience evaluating submissions to Nature Medicine, JCO, Cancer Cell, and Cell-family journals.
Journal evaluation
Want the full picture on Cancer Research?
See scope, selectivity, submission context, and what editors actually want before you decide whether Cancer Research is realistic.
A fuller snapshot for authors
Use Cancer Research's impact factor as one signal, then stack it against selectivity, editorial speed, and the journal guide before you decide where to submit.
What this metric helps you decide
- Whether Cancer Research has the citation profile you want for this paper.
- How the journal compares to nearby options when prestige or visibility matters.
- Whether the citation upside is worth the likely selectivity and process tradeoffs.
What you still need besides JIF
- Scope fit and article-type fit, which matter more than a high number.
- Desk-rejection risk, which impact factor does not predict.
- Timeline and cost context.
Five-year impact factor: 11.7. These longer-window metrics help show whether the journal's citation performance is stable beyond a single JIF snapshot.
How authors actually use Cancer Research's impact factor
Use the number to place the journal in the right tier, then check the harder filters: scope fit, selectivity, and editorial speed.
Use this page to answer
- Is Cancer Research actually above your next-best alternatives, or just more famous?
- Does the prestige upside justify the likely cost, delay, and selectivity?
- Should this journal stay on the shortlist before you invest in submission prep?
Check next
- Acceptance rate: ~15-20%. High JIF does not tell you how hard triage will be.
- First decision: ~100-130 days median. Timeline matters if you are under a grant, job, or revision clock.
- Publishing cost and article type, since those constraints can override prestige.
Quick answer: Cancer Research has a 2024 JCR impact factor of 16.6. The number confirms the journal is still a top mechanistic oncology venue, but the real submission question is sharper: does the paper deliver cancer biology with enough mechanistic depth that an AACR research audience would treat it as more than an observational or clinically adjacent result? If the mechanism is thin, the impact factor is not the reason to aim here.
Cancer Research impact factor at a glance
Metric | Value |
|---|---|
Impact Factor | 16.6 |
5-Year JIF | 13.4 |
Quartile | Q1 |
Category Rank | 16/326 |
Percentile | 95th |
Total Cites | 118,866 |
Among Oncology journals, Cancer Research ranks in the top 5% by impact factor (JCR 2024). This ranking is based on our analysis of 20,449 journals in the Clarivate JCR 2024 database.
The two-year JIF (16.6) being higher than the five-year (13.4) suggests recent papers are getting cited strongly in their first couple of years. That is consistent with a journal that publishes timely mechanistic findings that feed directly into active areas of cancer biology.
Cancer Research impact factor: year by year
Year | Impact Factor | Five-year JIF | Source |
|---|---|---|---|
2017 | ~8.4 | ~8.7 | Clarivate JCR |
2018 | ~8.4 | ~8.6 | Clarivate JCR |
2019 | 9.7 | 9.0 | Clarivate JCR |
2020 | 12.7 | 10.3 | Clarivate JCR |
2021 | 13.3 | 11.2 | Clarivate JCR |
2022 | 12.5 | 11.4 | Clarivate JCR |
2023 | 12.5 | 12.0 | Clarivate JCR |
2024 | 16.6 | 13.4 | Clarivate JCR |
The upward movement in 2024 is noteworthy. While many journals are stabilizing or declining post-pandemic, Cancer Research moved higher. That likely reflects strong citation performance from recent mechanistic oncology papers and possibly a shift in article mix.
Why the number matters here
Cancer Research sits at the intersection of mechanism and translational potential. The journal is read by cancer biologists, not primarily by clinicians, which means the citation profile reflects research-community attention rather than clinical-guideline-driven citations.
For authors, that distinction matters. A paper can be clinically interesting but mechanistically thin and still fail at Cancer Research. The journal rewards depth of biological understanding.
How Cancer Research compares with realistic alternatives
Journal | IF (2024) | What it usually rewards |
|---|---|---|
Cancer Research | 16.6 | Mechanistic cancer biology with translational potential |
Cancer Cell | 44.5 | Field-defining cancer stories with the broadest consequence |
Clinical Cancer Research | 10.2 | Translational oncology closer to the clinic |
Annals of Oncology | 65.4 | Clinical oncology with practice-changing potential |
Oncogene | 7.5 | Solid mechanistic oncology at a slightly lower bar |
What Pre-Submission Reviews Reveal About Cancer Research Submissions
In our pre-submission review work on manuscripts targeting Cancer Research, three patterns account for most of the desk rejections we see.
Correlative omics or biomarker studies presented as mechanistic cancer biology. Cancer Research's documented editorial criterion requires "conceptual or technological advances leading to basic and translational insights into cancer biology." In practice, the editorial team evaluates whether the manuscript's primary contribution is mechanistic, not whether it involves cancer. We see large transcriptomics datasets, GWAS results, and multi-omic correlation studies that identify cancer-relevant signatures or biomarkers and submit to Cancer Research because the subject matter is right. The editorial team's documented response is fast (median first decision 3.8 days without peer review) and the language tends to follow the SciRev-documented pattern: "we think your manuscript would be a better fit for another journal." Cancer Research's AACR stablemate Clinical Cancer Research is the documented transfer destination for translational and biomarker work without the mechanistic biology component. The distinction editors make is whether the manuscript explains a cancer biology mechanism or reports a cancer-relevant finding without explaining why or how it operates.
Papers where the mechanistic claim is supported by a single model system without cross-validation. Cancer Research's documented scope language specifies that only manuscripts meeting "expectations of scientific excellence, importance, and impact on the wider cancer research community" advance past desk review to peer review. In our experience with submissions targeting this journal, the second most common failure is a mechanistic story that is technically sound within the chosen system (a specific cell line, a single xenograft model, a defined genetic background) but has not been tested in orthogonal contexts. Cancer Research reviewers consistently ask whether the mechanism holds in an independent model, and submissions that cannot answer that question at the time of submission face revision requests that extend timelines significantly. The practical implication: a paper that establishes mechanism clearly in one system is a stronger submission if it includes at least one orthogonal validation, whether genetic (knockout vs. knockdown), biochemical (in vitro vs. in vivo), or model-based (cell line vs. primary tissue or patient-derived material).
Clinical oncology papers misrouted to a mechanistic cancer biology journal. Cancer Research's scope explicitly covers cancer biology, immunology, metabolism, and translational biology, but "translational" in this context means translating mechanisms into biological understanding, not translating findings to the clinic. We see clinical outcome studies, retrospective analyses of treatment cohorts, and phase I/II trial reports submitted to Cancer Research because the subject is cancer and the paper includes some molecular data. The documented AACR family structure makes the correct destination clear: Cancer Research is for papers where the biological mechanism is the contribution; Clinical Cancer Research (IF 10.2) is for papers where the clinical insight is the contribution. The distinction is not quality, strong clinical oncology does not belong in Cancer Research any more than mechanistic biology belongs in JCO. The misrouting tends to happen when authors treat the impact factor as the sorting criterion rather than the journal's documented editorial identity.
What editors are really screening for
Cancer Research editors want papers that advance understanding of cancer mechanism. The bar is not clinical utility alone. It is whether the biology is new, well-supported, and consequential enough for the AACR's core mechanistic audience.
Strong submissions typically show:
- a clear biological mechanism, not just an observation or correlation
- enough experimental depth to support the main claim convincingly
- relevance beyond one cell line or model system
- a story that feeds into active areas of cancer biology research
What the impact factor does not tell you
It does not tell you whether the mechanism is deep enough, whether the model system will satisfy reviewers, or whether the paper would perform better in a clinical oncology venue. For authors deciding between Cancer Research and its closest alternatives, a Cancer Research mechanistic framing and model system check can help clarify whether the mechanistic framing is strong enough for this editorial bar.
The decision question this page should answer
Cancer Research is one of the journals where prestige shorthand can distort the shortlist. Authors often see 16.6 and treat the page like a general oncology ranking table. That is not what makes the page useful. What matters is whether the manuscript is built for a mechanistic cancer-biology audience rather than for a clinical, translational, or disease-specific readership first.
The number helps because it confirms Cancer Research remains heavily cited and highly visible inside oncology research. But the editorial logic is still about mechanism, model quality, and whether the study moves the biological story forward in a way cancer researchers will keep using.
Another useful filter is whether the editor could describe the manuscript's main value without leaning on patient urgency, therapeutic relevance, or disease importance alone. If the explanation still lands as a biological mechanism the cancer-research community will use, the fit is getting stronger. If the story collapses without the clinical framing, the number is probably making the target look safer than it really is.
When the metric helps and when it misleads
- It helps when you are deciding between Cancer Research, Clinical Cancer Research, and disease-specific oncology journals.
- It helps when the strongest value of the paper is mechanistic depth with translational relevance, not translational relevance alone.
- It misleads when the story is mostly clinical association, correlative omics, or a narrow therapeutic observation.
- It misleads when the mechanistic layer looks added for positioning rather than central to the manuscript's value.
Submit If / Think Twice If
Submit if:
- The paper delivers a clear biological mechanism underlying a cancer process, not just a demonstration that X affects Y in a cancer context
- The work has broader significance across the AACR community, the mechanism matters beyond the specific tumor type or model system used
- The data package is complete: the claims are supported by multiple independent approaches, not just a single experimental system
- The study advances one of Cancer Research's documented scope areas: cancer biology, cancer immunology, cancer metabolism, translational cancer biology, or convergence science
Think twice if:
- The primary contribution is an association or correlative finding without mechanistic explanation, even a highly cited correlation in cancer doesn't clear Cancer Research's bar without biological depth
- The study's significance argument depends entirely on clinical relevance (patient outcomes, therapeutic utility) rather than biological insight, Clinical Cancer Research is a more natural home for that framing
- The model system is narrow enough that reviewers will ask whether the mechanism is specific to that context, and you don't have orthogonal evidence to address it
A Cancer Research triage criteria and scope check can assess whether the mechanistic framing is strong enough for Cancer Research's triage criteria before you spend time submitting there.
Related Cancer Research decisions
- Cancer Research submission guide
- Cancer Research submission process
- Is Cancer Research a good journal?
Bottom line
Cancer Research's 16.6 impact factor confirms it remains one of the top mechanistic cancer journals. Use the number to place it correctly on your shortlist, then decide whether the manuscript has enough biological depth and experimental rigor for the AACR's flagship.
Frequently asked questions
Cancer Research impact factor is 16.6. Five-year JIF is 13.4.
Steadily rising from 8.4 in 2017 to 16.6 in 2024. The upward trend reflects improving field citation rates and editorial selectivity.
Cancer Research is a legitimate indexed journal (IF 16.6, Q1, rank 16/326). Impact factor is one signal. For a fuller evaluation covering scope fit, editorial culture, acceptance rate, and review speed, see the dedicated page for this journal.
Sources
- Clarivate Journal Citation Reports (latest JCR release used for this page)
- Cancer Research information for authors
- Cancer Research journal homepage
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Same journal, next question
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- Cancer Research Submission Guide: Requirements & What Editors Want
- Cancer Research Review Time: What Authors Can Actually Expect
- How to Avoid Desk Rejection at Cancer Research
- Cancer Research APC and Open Access: AACR Pricing Logic, Page Charges, and When Gold OA Is Worth It
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