Journal rankings · indicator year 2020
Choose a field to open its ranking, or a journal to find its row in its subfield’s list.
Subfield ranking · 2020
Cancer Research journal rankings 2020
29 ranked journals · Subfield in Biochemistry, Genetics and Molecular Biology
Cancer Research has 29 ranked journals in 2020. The median OJR fell 0.06 on 2019 to 0.76, below the world average of 1.00; Q1 starts at OJR 1.12. The top three are Mutation Research/Reviews in Mutation Research, Non-Coding RNA, and Biomarker Insights.
Ranks and citation indicators: 2020. Journal access status and listed APC: source snapshot September 23, 2026.
Journals whose main subfield sits in this category and that published at least 30 citable documents (articles, reviews and conference papers) in 2017–2019, the window the 2020 score is computed on.
The OpenJournalRank Indicator (OJR) is a free, publicly available metric of a journal’s field-normalized citation impact, computed from open OpenAlex citation data. It compares citations to a journal’s papers from the previous three years with the world average for papers of the same subfield, year and type, so 1.00 is the world average and values can be compared across fields. It is computed with the NCI3 method.
The middle OJR among ranked journals in this category: half score higher, half lower. 1.00 is the world average for papers of the same subfield, year and type.
The dot is this category, the solid tick is the median of all ranked journals and the dashed line is the world average.
Share of ranked journals in this category that are fully open access, so every paper is free to read. Hybrid journals, which sell subscriptions and open single papers for a fee, are not counted.
Median list price of the article processing charge, in US dollars, among ranked journals in this category that list a price above zero. Journals with a listed APC of $0 and journals with no known price are left out of this median. The At a glance table below gives a second median that includes the $0 prices.
Subfields of Biochemistry, Genetics and Molecular Biology (14)
29 ranked journals
Filters
Rank is the position by OJR within the list on screen; 1 is the highest. | OJR is field-normalized 3-year citation impact: 1.00 is the world average for papers of the same subfield, year and type, so values compare across fields. The badge is the journal’s quartile in this list. | Citations per paper over a two-year window, counted from OpenAlex. It is not field-normalized, so compare it only between journals of the same field. ▲ or ▼ is the change from 2019. This is OpenJournalRank’s own count, not Clarivate’s Journal Impact Factor. | Citable documents (articles, reviews and conference papers) published in 2017–2019, the window the 2020 OJR is computed on. A journal needs at least 30 to be ranked. | Share of the journal’s 2017–2019 papers that are free to read in any open-access form. The green OA tag next to a title marks a fully open-access journal. | List price of the article processing charge in US dollars. “$0 listed” means the listed price is zero; a dash means no price is listed. | The line is the journal’s OJR from 2011 to 2020. | Compare |
|---|---|---|---|---|---|---|---|
1Mutation Research/Reviews in Mutation ResearchElsevier BV · Netherlands | 1.82Q1 | 7.41 1.74 up from 2019 | 92 | 16% | $4,160 | ||
2Non-Coding RNAOAMultidisciplinary Digital Publishing Institute · Switzerland | 1.79Q1 | 8.55 3.33 up from 2019 | 120 | 100% | $2,172 | ||
3Biomarker InsightsOASAGE Publishing · United Kingdom | 1.76Q1 | 7.05 1.71 up from 2019 | 56 | 100% | $2,650 | ||
4Cancer & MetabolismOABioMed Central · United Kingdom | 1.69Q1 | 5.91 0.36 down from 2019 | 43 | 100% | $3,190 | ||
5Journal of Molecular DiagnosticsElsevier BV · United States | 1.39Q1 | 4.13 0.35 down from 2019 | 306 | 86% | $3,000 | ||
6Non-coding RNA ResearchOAElsevier BV · China | 1.36Q1 | 6.90 1.67 up from 2019 | 66 | 100% | $1,100 | ||
7BiomedicineOAEDP Sciences · Netherlands | 1.33Q1 | 2.45 1.61 down from 2019 | 81 | 100% | — | ||
8Breast Cancer Research and TreatmentSpringer Science+Business Media · Netherlands | 1.12Q1 | 4.69 0.70 up from 2019 | 1,362 | 45% | $4,190 | ||
9Breast CancerSpringer Science+Business Media · Japan | 0.97Q2 | 3.35 0.70 up from 2019 | 278 | 34% | $3,890 | ||
10Environmental and Molecular MutagenesisWiley · United States | 0.90Q2 | 3.21 0.12 down from 2019 | 243 | 48% | $3,750 | ||
11Breast Cancer Basic and Clinical ResearchOASAGE Publishing · United States | 0.90Q2 | 3.38 0.23 up from 2019 | 55 | 100% | $2,650 | ||
12Journal of Breast CancerOASouth Korea | 0.89Q2 | 3.68 1.11 up from 2019 | 174 | 100% | $500 | ||
13Clinical Breast CancerElsevier BV · United States | 0.79Q2 | 3.06 0.34 up from 2019 | 510 | 24% | $3,470 | ||
14The BreastOAElsevier BV · United Kingdom | 0.76Q2 | 2.33 1.15 down from 2019 | 755 | 100% | $3,200 | ||
15Pathology - Research and PracticeElsevier BV · Germany | 0.76Q2 | 3.18 0.82 up from 2019 | 1,018 | 17% | $2,780 | ||
16MutagenesisOxford University Press · United Kingdom | 0.74Q3 | 2.70 0.10 down from 2019 | 132 | 42% | $4,170 | ||
17Critical Reviews in Eukaryotic Gene ExpressionBegell House · United States | 0.71Q3 | 1.98 0.42 down from 2019 | 114 | 5% | — | ||
18Mutation Research/Genetic Toxicology and Environmental MutagenesisElsevier BV · Netherlands | 0.71Q3 | 3.10 0.72 up from 2019 | 327 | 27% | $3,350 | ||
19MicroRNABentham Science Publishers · Netherlands | 0.67Q3 | 2.79 0.03 up from 2019 | 107 | 10% | — | ||
20Genes and EnvironmentOABioMed Central · Japan | 0.62Q3 | 2.19 0.24 up from 2019 | 83 | 100% | $2,590 | ||
21British Journal of Biomedical ScienceOATaylor & Francis · United Kingdom | 0.61Q3 | 2.67 0.29 up from 2019 | 126 | 7% | $2,506 | ||
22The Breast JournalOAWiley · United Kingdom | 0.46Q3 | 1.36 0.07 down from 2019 | 736 | 71% | $2,350 | ||
23Breast DiseaseIOS Press · Netherlands | 0.31Q4 | 1.08 0.05 up from 2019 | 57 | 0% | — | ||
24BiotargetAME Publishing Company · Hong Kong SAR China | 0.17Q4 | 0.65 0.20 up from 2019 | 36 | 100% | — | ||
25Journal of Histology and HistopathologyOAHerbert Publications · United Kingdom | 0.16Q4 | 0.40 0.31 down from 2019 | 35 | 100% | — | ||
26Non-coding RNA InvestigationOAAME Publishing Company · Hong Kong SAR China | 0.13Q4 | 0.59 0.05 up from 2019 | 80 | 100% | — | ||
27Journal of Cancer Treatment and ResearchOAScience Publishing Group · United States | 0.13Q4 | 0.26 0.10 up from 2019 | 37 | 100% | — | ||
28Journal of Biomaterials and Tissue EngineeringAmerican Scientific Publishers · United States | 0.08Q4 | 0.17 0.14 down from 2019 | 634 | 1% | — | ||
29International Journal of Human GeneticsOAKamla Raj Enterprises · India | 0.06Q4 | 0.12 0.03 down from 2019 | 81 | 100% | — |
Subfields of Biochemistry, Genetics and Molecular Biology, with Cancer Research highlighted.
- Molecular Biology1,141
- Genetics121
- Cancer Research29
- Cell Biology29
- Molecular Medicine10
- Biophysics6
- Clinical Biochemistry4
- Structural Biology3
- Biochemistry2
- Endocrinology2
- Developmental Biology1
- Physiology1
- Aging0
- Biotechnology0
Journals
Citations made in 2020. Corpus-wide, 86.1% of core-journal articles and reviews published that year have at least one matched reference; the share varies by journal and field.
16 additional Cancer Research journals with metrics are unranked under this release’s eligibility rules: a journal needs at least 30 citable documents in 2017–2019, at least 80% of them with a subfield, and a positive world-average expectation. Ranks are within the whole category; filters hide rows without re-ranking. OJR excludes self-citations.
At a glance
Indicator year: 2020. Publication window: 2017–2019. How these summaries are calculated
- Ranked journals
- 29
- Window papers (baseline)
- 57,576 +12.5% from indicator year 2017
- Median OJR
- 0.76 -7.1% from indicator year 2017
- Rising journals (2025)
- 2
Window papers are the baseline paper population: citable papers (articles, reviews and conference papers) from 2017–2019 in all journals of the world-average baseline, including non-core journals, counted by each paper’s own subfield. They are not the papers of the ranked journals alone.
| Measure | Year series | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ranked journals | 12 | 14 | 15 | 16 | 16 | 19 | 20 | 21 | 21 | 22 | 21 | 20 | 21 | 24 | 23 | 25 | 26 | 27 | 28 | 27 | 29 | 27 | 27 | 26 | 27 | 29 | |
| Window papers (baseline) | 14,247 | 15,312 | 16,615 | 17,745 | 18,774 | 20,529 | 22,718 | 25,259 | 27,535 | 30,135 | 32,914 | 35,940 | 38,839 | 41,424 | 44,722 | 47,640 | 50,019 | 51,182 | 52,328 | 54,530 | 57,576 | 61,698 | 64,508 | 64,646 | 60,806 | 56,699 | |
| Median OJR | 0.49 | 0.50 | 0.46 | 0.60 | 0.71 | 0.58 | 0.67 | 0.680 | 0.768 | 0.8139 | 0.72 | 0.798 | 0.93 | 0.92 | 0.88 | 0.84 | 0.7969 | 0.8143 | 0.804 | 0.82 | 0.76 | 0.679 | 0.70 | 0.79 | 0.770 | 0.7966 |
How to read these rankings
- OJR, the OpenJournalRank Indicator
- A field-normalized 3-year citation impact, computed from OpenAlex with the NCI3 method. It divides the citations a journal’s papers received by the world average for papers of the same subfield, year and type, so 1.00 is the world average and 2.00 means twice as many citations as expected. Because it is normalized, it can be compared across fields. Read the methodology
- Quartiles
- Q1 to Q4 split the ranked journals of the list you are viewing into four equal groups by OJR. A journal’s quartile depends on the list: the same journal can be Q1 in its subfield and Q2 among all journals.
- Impact factor (2-year)
- Citations per paper over a two-year window, counted from OpenAlex. It is easy to compare with familiar impact factors but is not field-normalized, so compare it only within a field. It is not Clarivate’s Journal Impact Factor. Why it differs from the Journal Impact Factor
- Rank ranges
- Each rank in the latest year carries a likely range from 1,000 resamples of the journal’s papers. Where two journals’ ranges overlap, the data cannot tell them apart, so treat neighbouring ranks as ties.