Journal CheckerEvidence-based

Is this journal safe to submit to?

We cross-reference Retraction Watch retraction patterns, journal metadata, and DOAJ indexing to flag warning signs. This is a heuristic — not a verdict. Use it alongside Think.Check.Submit.

Run a free risk assessment against our retraction signals.
Known patterns

Journals with elevated retraction counts

Top 0 by total retractions
JournalPublisherRetractionsFabricationPeer-review issuesCitations
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How it works

Signals we consider

  • Retraction history from the Retraction Watch Database — count, types, and concentration of reasons (fabrication, peer-review compromise, plagiarism).
  • DOAJ indexing as a positive signal for vetted open-access journals.
  • Time since first retraction and recency of the most recent — a pattern is more concerning than a single old incident.
  • Publisher reputation based on aggregate retraction patterns across that publisher’s portfolio.