Pubmed Issues

A curated index of the top issues and topics most frequently cross-referenced within PubMed abstracts. Ranked by in-degree centrality — the number of inbound relations each entity receives in the knowledge graph.

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About This Page

This page ranks biomedical entities — technologies, diseases, proteins, drugs, and genes — by their in-degree centrality in our PubMed knowledge graph. A higher score means more other entities point to it through directed relations (targets, treats, activates, inhibits, etc.).

Data is extracted daily from 1,100+ PubMed abstracts across 7 research topics: Immunotherapy, Gene Editing, Genomics, Mitochondria, Longevity, AI & Biotech, and Drug Discovery.

Last updated: 2026-04-26  ·  Total entries: 50

PubMedKnowledge GraphIn-degree CentralityBiomedical NLP