Publishing Strategy7 min readUpdated Apr 2, 2026

The Fastest and Slowest Journals for Review in 2026, and What the Extremes Actually Mean

Fast review times sound attractive until you realize that some of the fastest journals are simply fast at saying no. The slowest journals are not always inefficient either. In 2026, the extremes make sense once you read them as editorial systems rather than as isolated numbers.

Author contextSenior Researcher, Oncology & Cell Biology. Experience with Nature Medicine, Cancer Cell, Journal of Clinical Oncology.View profile

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Quick answer: The fastest journal on paper is not always the fastest route to publication. That is the first thing authors get wrong when they start optimizing for review speed.

A four-day first decision can mean the journal runs an excellent editorial machine. It can also mean the editor looked at the title, abstract, and cover letter and rejected the manuscript before reviewers ever touched it. At the other extreme, a journal taking 100 days to reach first decision might be doing serious peer review, or it might just be stuck in a bad reviewer-recruitment loop.

The number matters. The interpretation matters more.

Short answer

Using the current Manusights 100-journal review-speed benchmark, the fastest and slowest ends of the distribution look like this:

Speed band
What the tracked data shows
What it usually reflects
Fastest end
4 to 14 days
Professional editors, heavy triage, or both
Middle band
About 30 to 60 days
Typical reviewer recruitment plus one review round
Slowest end
100 to 150 days and beyond
Reviewer scarcity, academic-editor bottlenecks, or deep queueing

The strongest practical lesson is simple: fast and slow journals are usually telling you something about editorial model, not just turnaround discipline.

What this page covers

This page builds from the same tracked benchmark used in Average Review Times Across 100 Journals in 2026, using the active Manusights journal dataset.

Methodology:

  1. start with the active tracked journal dataset
  2. deduplicate obvious aliases by normalized journal name
  3. rank the deduplicated set by current tracked impact factor
  4. take the top 100 unique journals
  5. normalize each timeToDecision field into its first usable time value in days

That gives a cross-journal first-decision benchmark. It is useful for comparison, but it is still a simplification. "First decision" can mean very different things across journals.

The fastest journals in the current tracked set

Here are the fastest first-decision signals in the current benchmark:

Journal
Normalized days
Tracked wording
Nature Biotechnology
41.7
4 days median to first editorial decision
Neuron
15
4 days to first decision
Nature Immunology
27.6
5 days median to first editorial decision
Cell Reports
6.9
5 days median to first editorial decision
Nature
7
7 days median to first decision
Nature Methods
32.1
7 days median to first editorial decision
Science Advances
12.5
1 to 4 weeks to first editorial decision
Nature Communications
15.7
about 9 days to first editorial decision
JAMA
55
2 to 3 weeks to first decision
Science
14
about 14 days to first decision
The BMJ
14
days to 2 weeks for desk decisions, about 48 days with review
Cell
14
about 14 days to first decision

This list has a pattern that should jump out immediately. It is not full of broad, low-selectivity journals trying to please authors with speed. It is dominated by:

  • flagship or high-prestige brands
  • journals with professional editors
  • journals that are comfortable making quick editorial decisions

That is why speed at the top end often comes with pain.

What the fastest journals are actually fast at

Nature's editorial-criteria page makes the logic unusually explicit. Nature says only about 8% of submitted manuscripts are accepted and that most submissions are declined without peer review. Nature journal information also reports a 7-day median first decision.

Those two facts belong together.

A journal can only move that quickly at scale if it is filtering hard at the editor stage.

The same logic broadly applies to other fast journals in this list:

  • Nature Biotechnology
  • Nature Immunology
  • Nature Methods
  • Science
  • Cell

These journals are not necessarily providing lightning-fast referee cycles. They are often providing lightning-fast editorial triage.

That is not a criticism. For some authors, a quick no is better than a slow no. But it does mean you should stop reading a 4- to 7-day first decision as a promise of author-friendly speed.

The slowest journals in the current tracked set

At the other end of the benchmark:

Journal
Normalized days
Tracked wording
Chemical Society Reviews
39
about 150 to 200 days median
Chemical Reviews
55.8
about 120 days to first decision
Renewable & Sustainable Energy Reviews
16.3
about 120 to 180 days median
Advanced Energy Materials
26
about 100 to 140 days median
Applied Catalysis B: Environment and Energy
21.1
about 100 to 140 days median
Cancer Research
16.6
about 100 to 130 days median
Diabetes Care
16.6
about 100 to 130 days median
ACS Catalysis
13.1
about 100 to 130 days median
Water Research
12.4
about 100 to 120 days median
Small
12.1
about 100 to 140 days median
Applied Energy
11
about 100 to 140 days median
Clinical Cancer Research
10.2
about 100 to 130 days median

These journals are not all similar in field or prestige. What they share is a much slower first-decision environment than the benchmark center.

The temptation is to label them inefficient. That is too simple.

Why slow journals become slow

There are several ways a journal ends up in the 100-plus-day band.

1. Reviewer scarcity

Specialized journals and heavily technical fields often struggle to secure willing reviewers quickly. A manuscript can lose weeks before the review even begins.

2. Academic-editor workflows

Journals relying more heavily on active academic editors rather than large in-house editorial teams often move more unevenly.

3. Deep review cultures

Some journals attract reviewers who write long, experiment-heavy reports and editors who are willing to wait for them.

4. Queue congestion

A journal can be reputable and still simply have too many manuscripts moving through a constrained process.

That means a slow journal is not always careless or weak. It may just be a journal where the cost of editorial attention is high and the throughput model is not built for speed.

The fastest journals are not necessarily the best journals for urgent work

This sounds contradictory, but it matters.

If your paper is time-sensitive and you need a serious review outcome quickly, the fastest triage journals might still be bad bets unless your fit is exceptional. A fast desk rejection helps you move on, but it is still a rejection.

For urgent manuscripts, what you often want is not the fastest first decision. You want the fastest credible path to external review and publication.

Those are different things.

That is why authors should compare:

  • first-decision speed
  • desk rejection behavior
  • post-review acceptance odds
  • transfer possibilities after rejection

instead of optimizing only for one number.

The most useful way to read the extremes

Here is the cleaner interpretive framework:

If a journal is fast...
Ask this
Under 7 days
Is this mostly desk triage?
7 to 14 days
Am I seeing quick editor handling, real reviewer speed, or a blended signal?
30 to 60 days
Is this a normal external-review workflow?
100+ days
Is the field slow, the journal overloaded, or the review process unusually deep?

This is why the middle of the distribution is often more realistic for planning than the extremes.

If the journal is in the fastest band

You should focus disproportionately on:

  • abstract sharpness
  • title framing
  • scope fit
  • cover-letter precision

Because the editor is likely to make a triage judgment quickly.

If the journal is in the slowest band

You should ask yourself:

  • can the project tolerate a multi-month first decision?
  • do I need a faster fallback?
  • is the prestige or audience gain worth the waiting cost?

Authors often underestimate the opportunity cost of a slow journal. Four months to first decision is not just calendar time. It can affect hiring cycles, grant timing, dissertation milestones, and follow-on experiments.

Nature

Fast first decision, harsh desk filter. Great if your paper is genuinely Nature-caliber. Bad if you are using it as a speculative first shot.

Cell

Relatively fast to first decision, but still demanding. A quick initial clock does not mean a light review burden later.

Chemical Society Reviews

Very slow by the benchmark, but that makes more sense once you remember the journal's scope, prestige, and review culture.

Scientific Reports

Not on the extreme ends here, but a useful comparison point because broad-scope journals often feel "faster" in total cycle terms even when their first decision is not the very fastest in a benchmark list.

What authors should do before optimizing for speed

Do three checks:

  1. read the journal's actual editorial model
  2. compare its speed with its desk rejection rate
  3. decide whether your paper needs fast feedback, fast publication, or both

Those are not identical goals.

If you just want a quick answer, a heavily triaged prestige journal might serve you. If you need a realistic publication route on a deadline, a journal in the moderate band may be strategically better.

For more context, pair this page with Average Review Times Across 100 Journals in 2026, Real Acceptance Rates: What Journals Don't Tell You, and manuscript readiness check before you anchor on speed alone.

Bottom line

The fastest journals in 2026 are usually fast because they are decisive editors, not because they have magically solved peer review. The slowest journals are often slow because reviewer recruitment, queueing, or field-specific editorial culture drags the first decision far beyond the benchmark center.

That means speed should be read as a signal about system design, not just service quality.

If you want the shortest rule: fast often means harsh triage, slow often means costly attention, and neither is good or bad without context.

How to use this data

Use for journal selection if:

  • You have a hard deadline (grant renewal, job market, tenure review)
  • You want to compare review speeds across realistic journal options
  • Speed is a genuine factor in your publication decision

Don't optimize purely for speed if:

  • A slower journal with better scope fit will serve your paper better long-term
  • The fastest option is a significantly weaker venue than your paper deserves

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Tools for Checking Review Speed Before You Submit

Beyond our benchmark data, two crowd-sourced tools let you check specific journals:

  • SciRev (scirev.org), author-reported review experiences with timelines, satisfaction ratings, and decision outcomes. Limited sample sizes per journal but growing.
  • PeerReviewTimes.org (peerreviewtimes.org), aggregated peer review duration data. Useful for comparing journals in the same field.

Both supplement our benchmark with real-time author reports. Neither replaces reading the journal's editorial model.

Frequently asked questions

In the current Manusights benchmark, the fastest first-decision signals include Nature Biotechnology and Neuron at 4 days, followed by Nature Immunology and Cell Reports at 5 days, then Nature and Nature Methods at 7 days.

Among the slowest tracked journals are Chemical Society Reviews at roughly 150 days, Chemical Reviews and Renewable & Sustainable Energy Reviews at around 120 days, followed by several titles clustered near 100 days.

No. Many very fast journals are heavily triaged and issue quick editorial decisions. Fast first decisions often reflect strong desk screening rather than unusually fast external peer review.

Not necessarily. Slow timelines can reflect reviewer scarcity, academic-editor bottlenecks, or queue design just as much as unusually thorough review.

Use it together with desk rejection rate, scope fit, and likely revision burden. Review speed is useful only when interpreted inside the journal’s broader editorial model.

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