2026-04-06 · Automated tracking, analysis, and plain-English explanation of retracted scientific papers, paper mill fraud, and "zombie papers" that keep getting cited after death

Dead On Arrival

The science you trust might already be dead — we track every retraction so you don't cite a ghost.

💡 idea Total 15/20 Quality 5 Automation 3 Revenue 4 Complexity 3

Channel: Dead On Arrival
Tagline: The science you trust might already be dead — we track every retraction so you don’t cite a ghost.
Niche: Automated tracking, analysis, and plain-English explanation of retracted scientific papers, paper mill fraud, and “zombie papers” that keep getting cited after death
Target audience: Graduate students, researchers, science journalists, research integrity officers, policy analysts, curious science-literate public. ~5M+ people globally who actively read/cite papers + millions more who consume science news
Why now: Scientific retractions hit 4,500+ in 2025 alone — an all-time high. Paper mill fraud is “growing at an alarming rate” (PNAS). Hindawi retracted 8,000+ articles. Wiley shuttered journals. Over 50% of retractions now come from Chinese institutions. The Crossref API just integrated Retraction Watch data in Jan 2025, making automated analysis possible for the first time. Meanwhile, retracted papers continue accumulating citations — the “zombie paper” crisis is accelerating. The market leader (Retraction Watch) is a text blog with no data visualizations, no automated analysis, no trend dashboards. The gap is enormous.

Content Example

🧟 This Week’s Zombie Papers — March 31, 2026

The Dead That Won’t Stay Down: 7 Retracted Papers That Gained 200+ New Citations This Quarter

The scientific record has a haunting problem: papers that have been officially killed keep shambling through the literature, infecting new research with undead data. This week, Dead On Arrival tracked 847 newly retracted papers across 12 publishers — but the real horror is what happened to the already dead.

The Worst Offender: A 2019 Oncology Study That Should Have Stayed Buried

When BMJ retracted Chen et al.’s cardiac stem cell therapy paper last week after data sleuths flagged image “mismatches,” it joined a growing graveyard of compromised medical research. But here’s what nobody’s telling you: according to our analysis of OpenAlex citation data, this paper was cited 47 times after the expression of concern was published in 2024 — including in three clinical trial design documents.

That’s not an outlier. Our automated scan of Crossref and OpenAlex this week found 312 retracted papers that accumulated new citations in Q1 2026. The median time since retraction? 2.3 years. These aren’t obscure methodological notes — 41% are in biomedical fields where citation trails can influence treatment decisions.

By the Numbers This Week:

The Paper Mill Corner: Heliyon’s Ongoing Purge

Elsevier’s mega-journal Heliyon continues its mass retraction event that began in February. This week: 34 more papers tagged as paper mill products, bringing the 2026 total to 412. Our network analysis shows a cluster of 23 of these papers sharing three “authors” who appear on 80+ publications across 6 journals — a classic mill signature. [Interactive network graph below]

Why This Matters to You

If you’re a researcher: run your bibliography through our free Zombie Check tool (coming next month). If you’re a science journalist: stop citing retracted papers — 6% of science news stories reference at least one retracted source without noting the retraction. If you’re a patient: that supplement study your naturopath cited? We’ll tell you if it’s still alive.

Dead On Arrival scans 4 million journal articles weekly using the Crossref, OpenAlex, and PubMed APIs. Every number has a source. Every claim has a receipt.

Data Sources

Automation Pipeline

Tech Stack

Monetization Model

Growth Mechanics

Channel Soul & Character

Name: Dead On Arrival (D.O.A.)

Mascot: A cartoon forensic pathologist owl wearing a lab coat and holding a magnifying glass over a paper — “Dr. Hoot.” Wide eyes. Always slightly annoyed at the state of science. Logo: an owl silhouette over a retraction stamp.

Visual Identity:

Voice: A weary but sharp forensic scientist who’s seen too many bodies. Dry humor, dark puns (“today’s body count”), but dead serious about the implications. Think a noir detective who reads PubMed instead of case files. Occasionally exasperated (“how is this paper STILL being cited?!”), always backed by data. Not preachy — amused and appalled in equal measure.

Opinion/Stance:

Running Segments:

Launch Complexity: 3/5 (APIs are free and well-documented; data processing is straightforward; D3.js charts require upfront design work but are templatable; main challenge is making the AI analysis genuinely insightful rather than generic)

Content Quality Score: 5/5 (Unique data nobody else visualizes. Crossref + OpenAlex = authoritative sources. “Zombie paper” tracking is genuinely novel. The sample content above demonstrates real utility — researchers NEED this)

Automation Score: 4/5 (Daily data collection is fully automated. AI writing needs good prompts and quality checks to avoid hallucinating paper details. Chart generation is deterministic. Newsletter dispatch is automated. Human review recommended for first month, then can go hands-off)

Revenue Potential: 5/5 (Academic/institutional market has real money. Research integrity is a $100M+ industry. Even small penetration = significant revenue. Newsletter premium tier is high-value for researchers. Sponsorship from integrity tool companies is natural fit)

Total: 17/20

Why This Will Work:

The psychology is perfect: researchers are AFRAID of citing retracted papers — it’s career-damaging. Right now, checking is manual and painful. A beautiful, automated, weekly digest that tells you “here’s what died this week, here’s what’s still being cited from the grave” solves a real anxiety. The “zombie paper” angle is emotionally compelling — it’s horror storytelling meets data journalism. Academic Twitter amplifies retraction stories reliably. The tools (Zombie Check, Bibliography Scan) create organic traffic loops. And the institutional market (universities, publishers, funding agencies) provides a real revenue ceiling that most content sites don’t have.

The timing is impeccable: Crossref integrated Retraction Watch data into their API in January 2025. OpenAlex added retraction flags. For the first time ever, you can build fully automated retraction analysis at scale. The data infrastructure literally didn’t exist 18 months ago.

Risk & Mitigation:

  1. Retraction Watch sees us as competition — Mitigation: We’re complementary (they do investigative journalism, we do automated data analysis). Reach out early, propose cross-linking.
  2. AI analysis could hallucinate paper details — Mitigation: All claims must cite specific DOIs/data from APIs. Build verification layer that cross-checks AI output against source data.
  3. Legal risk from naming fraudsters — Mitigation: Only report what’s already public record (retractions are official publisher actions). Link to primary sources. No original accusations.
  4. API rate limits could throttle data collection — Mitigation: Crossref and OpenAlex are generous (100K+ requests/day with polite pool). Cache aggressively. Incremental updates.
  5. Academic audience is small — Mitigation: The “zombie paper” and “paper mill exposé” angles appeal to general science-curious audience too. Science fraud stories regularly hit r/all with 50K+ upvotes.