B. Ian Hutchins

Biomedical researchers use preprints for speed, but hesitate to credit them in evaluation

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

Forecasting novel therapeutic development in biomedical research

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

Quantifying structural vulnerabilities and resilience to research integrity risks in biomedical research networks

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

Prediction of transformative breakthroughs in biomedical research

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

Framework for assessing the risk to a field from fraudulent research

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.