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ManuSights

Reference notes

Coverage

57 journals · 17 benchmark fields

Sources

Journal Intelligence Dataset · per-metric evidence tags

Last reviewed

Dataset: 2026-03-30 · not a live rate feed

Prepared by the Manusights editorial team.

Biomedical Journal Acceptance Rates: Free Reference Guide (2026)

Biomedical journal acceptance rates are difficult to compare because publishers report them inconsistently and subscription databases rarely expose the underlying context. This page brings those benchmarks together for 57 journals in one searchable reference table.

The dataset combines published journal statistics, editorial transparency reports, and Manusights editorial normalization, with methodology notes preserved where denominators and evidence quality differ.

Dataset snapshot: March 30, 2026

Biomedical journal acceptance rates by field

Search and export acceptance-rate ranges, impact factors, and methodology notes for 57 journals across clinical, translational, and basic-science fields. Indicative ranges remain visible where publisher reporting methods are not directly comparable.

57 journals17 benchmark fieldsCanonical dataset rows

Canonical source

This table now projects fully from the Journal Intelligence Dataset, so acceptance-rate rows, field labels, and notes all come from the same maintained source of truth.

⚠️ Important: How Acceptance Rates Are Calculated Varies

Not all journals calculate acceptance rates the same way. Some include desk rejections in the denominator (giving a lower rate). Others report only manuscripts that made it to peer review. A few report per-track rates. This makes direct comparisons between journals imprecise.

Where we know a journal's methodology, we note it in the table. The figures here should be treated as indicative ranges, not exact thresholds. A journal reporting "8%" using all submissions may actually be more competitive than one reporting "15%" counting only reviewed manuscripts.

How to read these figures

(est.) means the journal does not publish an acceptance rate and the figure is our conservative estimate, so treat it as a directional prior rather than a measured rate. (reported) means a public benchmark or community dataset published it. A figure with no tag comes from the publisher’s own metrics page. Most journals do not publish this number, so most of this column is estimated. If you need a citable rate for one journal, ask the editorial office.

Biomedical journal acceptance rates by journal

Filter by field, journal name, or methodology note. Export the current view for journal selection, benchmarking, or lab planning.

FieldJournalIF (2024)Acceptance rate
MultidisciplinaryNature56.1<8% (est.)
MultidisciplinaryScience47.3<7% (est.)
Cell & Molecular BiologyCell45.1<8% (est.)
Clinical MedicineNew England Journal of Medicine84.5<5% (reported)
Clinical MedicineThe Lancet109<5% (est.)
Clinical MedicineJAMA65.4<5% (reported)
Clinical MedicineNature Medicine52.5<8% (est.)
MultidisciplinaryNature Communications18.1~20% (est.)
OncologyCancer Cell56.1~8–10% (est.)
OncologyJournal of Clinical Oncology44.7~15% (est.)
CardiologyCirculation41.3~7% (est.)
CardiologyEuropean Heart Journal45.3~10% (est.)
CardiologyJACC22.3~5% (est.)
Clinical MedicineBlood23.9~20% (est.)
Clinical MedicineJournal of Clinical Investigation14.3~8–10% (est.)
OncologyJAMA Oncology23.9~8% (est.)
OncologyThe Lancet Oncology33.7~8% (est.)
Genomics & MethodsNature Biotechnology44.5<10% (est.)
Genomics & MethodsNature Methods28.3~8–10% (est.)
Genomics & MethodsNature Genetics25.5<10% (est.)
ImmunologyNature Immunology26.5~5–8% (est.)
Cell & Molecular BiologyCell Metabolism37~5–8% (est.)
Cell & Molecular BiologyCell Reports7.7~15–20% (est.)
Cell & Molecular BiologyMolecular Cell16~13% (est.)
NeuroscienceNeuron16.9~8% (est.)
Genomics & MethodsNucleic Acids Research15~45% (est.)
Clinical MedicineThe BMJ55.1~7% overall; ~4% research (reported)
Clinical MedicineBMJ Open2.5~27% (est.)
Clinical MedicineBMC Medicine8.7~20% (est.)
Clinical MedicineGastroenterology29.7~12% (est.)
Clinical MedicineGUT24.6~12% (est.)
Clinical MedicineHepatology18~15% (est.)
ImmunologyImmunity30.6~8–10% (est.)
Genomics & MethodsGenome Biology9.2~15% (est.)
MultidisciplinaryPNAS9.5~15% (est.)
MultidisciplinaryScience Advances13.9~10% (est.)
NeuroscienceBrain12.6~15% (est.)
MicrobiologyCell Host & Microbe23.2~12% (est.)
Stem Cell BiologyCell Stem Cell23.3~10% (est.)
CardiologyCirculation Research18~10% (est.)
Cell & Molecular BiologyCurrent Biology7.7~35% (est.)
Developmental BiologyDevelopmental Cell9.2~18% (est.)
Life ScienceseLifeN/A~15% (est.)
Cell & Molecular BiologyThe EMBO Journal8.4~15% (est.)
CardiologyJAMA Cardiology15.2~8% (est.)
NeuroscienceJournal of Neuroscience4.3~25% (est.)
Infectious DiseasesLancet Infectious Diseases29.4~12% (est.)
NeuroscienceLancet Neurology54.6~10% (est.)
PsychiatryMolecular Psychiatry10.4~12% (est.)
Chemical BiologyNature Chemical Biology15.8~15% (est.)
NeuroscienceNature Neuroscience20.3~9% (est.)
Structural BiologyNature Structural & Molecular Biology10.1~12% (est.)
Clinical MedicinePLOS Medicine9.9~15% (est.)
Translational MedicineScience Translational Medicine15.6~15% (est.)
MultidisciplinaryPLOS ONE2.8~31% (reported)
MultidisciplinaryScientific Reports4.9~57% (est.)
ImmunologyFrontiers in Immunology7~40% (est.)

What Acceptance Rates Actually Tell You

They're not the same as your odds

A 5% acceptance rate does not mean you have a 1-in-20 prediction. The denominator may include every submission, only complete submissions, or a different article mix than yours. For most rows, the figure is a calibrated directional prior rather than a measured probability.

It can still help you understand a journal's selectivity, provided you keep the evidence tag, article type, and stated denominator alongside the number.

High rates don't mean easy

A higher figure in the table does not mean a journal is easy to publish in. It may reflect article mix, screening rules, scope, or the way the publisher calculates the denominator.

The useful question is whether your manuscript meets that journal's published scope and evidence standard, rather than whether a single cross-journal percentage looks favorable.

Use acceptance rates as one filter, not the only one

The most useful exercise is building a tiered shortlist: one reach journal (where you'd be thrilled to publish), one solid match (where your work genuinely fits), and one accessible option (where sound methodology is enough). Acceptance rates help you calibrate those tiers, but they work together with impact factor, scope fit, review timeline, and open access requirements.

For field-specific guidance on how to tier journals and what each tier requires, see the field guides.

Data Sources & Methodology

  • Impact factors: Clarivate Journal Citation Reports, 2024 release
  • Acceptance rates: Individual journal statistics pages, annual reports, and editorial transparency statements published by journals or their parent publishers (Cell Press, Springer Nature, NEJM Group, JAMA Network, BMJ Publishing Group, AHA Journals, ESC Publications, AAAS, PLOS, etc.)
  • Where rates aren't officially published: Estimates synthesized from peer-reviewed analyses of submission patterns (e.g., Ware & Mabe, The STM Report, 4th ed.; Bjork et al., PLOS ONE, 2014) and editor interviews published in Nature, Science, and BMJ. All estimates are marked with "~" in the table.
  • Primary sources (where verifiable): NEJM (nejm.org/author-center/new-manuscripts), Nature Medicine (nature.com/nm/author-instructions), PLOS (journals.plos.org/plosone/s/journal-information), BMJ (bmj.com/about-bmj), Clarivate JCR (jcr.clarivate.com)
  • Dataset snapshot: March 30, 2026. Impact factors update annually; acceptance-rate figures should be rechecked against a publisher source when a precise current rate matters.

Primary Sources

These are the authoritative sources for acceptance rate and publishing statistics data. Where journals publish their own figures, those take precedence over estimates.

Clarivate Journal Citation Reports (JCR)

Authoritative source for impact factors. Annual release. Paywall, check via your library.

NEJM Annual Statistics

NEJM publishes submission and acceptance statistics in its author instructions and annual editorial reports.

Nature Portfolio Author FAQ

Nature family journals list acceptance rate context in author guidance pages.

PLOS Journal Metrics

PLOS ONE journal information page includes acceptance rates and publication statistics.

BMJ Research Integrity (BMJ Statistics)

BMJ Group publishes annual data on submissions, desk rejections, and acceptances.

AAAS (Science/Science Advances) Author Information

AAAS provides submission statistics for Science and Science Advances.

Version History

February 2026

Re-reviewed acceptance-rate notes, aligned impact factor values to the current JCR baseline, and added exportable dataset utilities.

December 2025

Expanded the benchmark to 57 journals across 8 biomedical fields and added methodology notes for non-comparable publisher reporting methods.

Frequently Asked Questions

What is a typical acceptance rate for top biomedical journals?

Acceptance rates vary widely by journal tier. Flagship journals like Nature, Science, Cell, NEJM, and Lancet accept 5-10% or fewer of submitted manuscripts. High-impact specialty journals (Nature Medicine, JAMA, Circulation) typically accept 8-15%. Mid-tier specialty journals accept 15-25%. Broad-scope open access journals like PLOS ONE and Scientific Reports accept 40-55%. These figures represent overall acceptance rates - desk rejection rates at top journals can be 60-70%, meaning fewer than one-third of submissions even reach peer review.

How does desk rejection rate differ from acceptance rate?

Desk rejection is when an editor rejects a manuscript before sending it to external reviewers, usually within days of submission. This happens when the scope doesn't fit the journal, the work lacks novelty for that journal's readership, or the manuscript has obvious methodological flaws. At Nature and Cell, desk rejection rates are 60-75%. At NEJM and Lancet, they reach 80-90%. The post-peer-review acceptance rate (papers accepted among those that survive desk review) is therefore much higher than the overall acceptance rate.

Should I target journals where I have the highest chance of acceptance?

Not necessarily. Targeting only high-acceptance journals sacrifices visibility and career impact. The optimal strategy is to submit to the highest-tier journal where your work is genuinely competitive - not the one with the best odds, but the one where your paper fits the scope and novelty bar. A paper rejected from Nature and published in Nature Communications still carries significant weight. A structured pre-submission review of your manuscript can help accurately assess where it is competitive before you commit to a target journal.

Cite this resource

Citation formats

Free to use and cite, with attribution. See the reuse policy for what you may republish.

APA
Manusights. (2026). Biomedical journal acceptance rates: Free reference guide (Journal Intelligence Dataset snapshot March 30, 2026). https://manusights.com/resources/biomedical-journal-acceptance-rates
MLA
Manusights. "Biomedical Journal Acceptance Rates: Free Reference Guide." Manusights, Journal Intelligence Dataset snapshot Mar. 30, 2026, manusights.com/resources/biomedical-journal-acceptance-rates.
Vancouver
Manusights. Biomedical journal acceptance rates: free reference guide [Internet]. Journal Intelligence Dataset snapshot 2026 Mar 30. Available from: https://manusights.com/resources/biomedical-journal-acceptance-rates

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