B. Ian Hutchins

The paper surveys biomedical researchers' use of preprints, finding they prioritize speed over open science and face career penalties in evaluations.

This paper predicts FDA-approved drugs years in advance using citation and publication data from biomedical literature, achieving an F1-score of 0.84.

The paper quantifies structural vulnerabilities and resilience to research integrity risks in biomedical research networks by analyzing retraction rates and citation patterns across fields.

This paper identifies an AI/ML-detected signature in co-citation networks that predicts biomedical research breakthroughs up to 12 years in advance.

This study compares scholarly outputs from intramural and extramural NIH grants, finding extramural grants are more cost-effective for publications and citations, while intramural grants are better for clinical impact.

Citation-network analysis of 112,720 Alzheimer's disease papers finds that no single author or paper reaches most of the field; the top 150 authors average 7.8% literature reach.