Science deserves better tools. We're building them.
The way we search the literature, the way we buy reagents, and the way we measure a researcher's impact were all designed decades ago. They haven't kept up. A first-year grad student who publishes a paradigm-shifting paper in Cellstill ranks below a retired PI who hasn't been at the bench in fifteen years — because the h-index rewards time served, not contribution. That's a measurement problem, and it has real consequences for the people doing the most exciting work in science right now.
The h-index is a cumulative lifetime counter. It ignores field size, doesn't distinguish first authors from middle authors, and treats every paper equally regardless of contribution. Hiring committees and grant reviewers rely on it because nothing better has existed. Meanwhile, PubMed's interface hasn't meaningfully evolved in over twenty years, and a handful of reagent suppliers charge significant markups on basic biological tools — because switching catalog numbers feels risky when your experiment depends on it.
We think a first-year grad student and a 30-year PI should be measured by the same standard — impact relative to their peers, right now, in their specific field. Not lifetime accumulation. We think searching the literature should take seconds and understand biology, not require Boolean syntax. And we think researchers should be able to see, instantly, that the $500 antibody in their cart has the same clone as one that costs $150 from another supplier.
PubIndex is built on these ideas. The PubIndex Score is a 1–99 metric that measures impact within your specific topic and career stage. Emerging researchers compete against emerging researchers. Senior leaders compete against senior leaders. We normalize for author position, citation velocity, field size, and journal quality. We built search that understands biology, not just keywords. And we surface the reagents actually used in the papers you're reading, with transparent alternatives side by side. Every data point comes from OpenAlex, a free public dataset. The scoring formula is published below. There are no black boxes.
PubIndex is free. No account required. No subscription. No paywall. The tools of scientific discovery should be accessible to everyone. We sustain ourselves by helping labs find better, more affordable reagents — when your budget stretches further, so does ours.
How PubIndex Works
- AI query translation — Your natural-language question is translated into structured search terms optimized for biomedical databases.
- Multi-source retrieval — Results are fetched from OpenAlex and Semantic Scholar simultaneously, covering 35M+ articles.
- Intelligent re-ranking — Results are merged, deduplicated, and ranked by relevance, citations, journal impact, and recency.
- Reagent intelligence — We surface the actual products used in each paper, with pricing and alternatives from 30,000+ reagents.
PubIndex Score Methodology
Fully transparent. Fully reproducible. Built on open data.
What the PubIndex Score Measures
The PubIndex Score is a 1–99 percentile score that measures a researcher's publication impact within their specific topic and career stage. Unlike the h-index, which rewards cumulative lifetime output regardless of field or seniority, the PubIndex Score normalizes for both — so a first-year grad student can score 99, and a 30-year PI can also score 99. They're measured against their actual peers.
The Formula
Step 1: Compute weighted paper score
paper_score = (citations + 1) × journal_tier × velocity_factor
researcher_score = Σ paper_scores (for papers where they are first or last author in this topic)
Step 2: Compute percentile within {topic, career zone}
pubindex_score = percentile_rank(researcher_score) → integer 1–99
Journal tier multiplier: Nature/Science/Cell = 3×, top field journals = 2×, standard journals = 1×, mega-journals = 0.8×.
Velocity factor: For Rising Stars, journal prestige is weighted more heavily (papers are too new for citation counts). For All-Time papers, raw citation count dominates.
Author position: Only first and last authors are scored. Middle authors are excluded.
Career Zones
Researchers are scored within their career zone — not against the entire field.
| Zone | Who | Scoring Window |
|---|---|---|
| Rising Stars | First authors on recent papers | Last 2 years |
| Emerging Leaders | Senior authors on recent papers | Last 2–3 years |
| All-Time Leaders | Senior authors, lifetime impact | All time |
Anti-Gaming Measures
- Journal tier system: Publishing in predatory or mega-journals provides minimal score boost regardless of citation count.
- Author position filtering: Only first and last authors are scored, reducing the incentive for gift authorship.
- Topic relevance: Papers must mention the topic in their title or abstract to count.
- Consortium filtering: Organizations and consortiums are excluded from researcher rankings.
Limitations
The PubIndex Score does not measure teaching quality, mentorship, grant funding, clinical impact, patent activity, or any metric outside of publication-based citation impact. It is designed to supplement — not replace — qualitative peer review.
Responsible Metrics
PubIndex endorses the principles of the San Francisco Declaration on Research Assessment (DORA) and the Leiden Manifesto. We encourage evaluators to use the PubIndex Score as one data point among many.
Data & Privacy
All publication data comes from OpenAlex, a free, open dataset of 250M+ scholarly works. OpenAlex data is CC0 (public domain). Anyone can verify any PubIndex Score using the OpenAlex API and the formula above. Scores are recomputed weekly.
PubIndex does not require an account and does not track individual users. Search queries are processed to return results and are not stored or sold. We use no third-party analytics or advertising trackers.