Is there a way to track a specific author's new preprints?

Yes, the author search feature allows you to monitor all publications from specific researchers within any defined date range.

Can I filter bioRxiv searches by specific subject areas?

Yes, the skill supports filtering across over 25 specific categories including genetics, neuroscience, bioinformatics, and immunology.

What kind of metadata does the search return?

It returns comprehensive structured JSON data including titles, abstracts, authors, DOIs, publication dates, and institutional affiliations.

Does this skill allow for downloading full-text papers?

Absolutely, the skill includes built-in functionality to download the full-text PDF of any preprint using its DOI for offline analysis.

Is it possible to search for papers within a specific timeframe?

Yes, you can specify exact start and end dates or use the 'days-back' shortcut to quickly find the most recent research.

bioRxiv Research Database Search

Name: bioRxiv Research Database Search
Author: ricable

byricable

•

Data Science & ML

Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering and PDF download capabilities.

About

The bioRxiv Database skill empowers researchers and AI agents to programmatically access the latest life sciences preprints directly within their workflow. It offers robust search functionality by keywords, authors, and date ranges across specialized categories like bioinformatics, genetics, and neuroscience. By providing structured JSON metadata and direct PDF downloads, it streamlines literature reviews, trend analysis, and citation management, making it an essential tool for scientific discovery and automated research pipelines.

Key Features

Python API integration for programmatic research pipelines
Advanced search by keywords, authors, and specific date ranges
Domain-specific filtering across 25+ bioRxiv subject categories
1 GitHub stars
Structured JSON output containing DOIs, abstracts, and citation data
Automated PDF downloading for full-text preprint analysis

Use Cases

Conducting systematic literature reviews in specialized biological fields
Analyzing temporal research trends and emerging scientific topics
Tracking recent publications from specific authors or research labs

About

Key Features

Python API integration for programmatic research pipelines
Advanced search by keywords, authors, and specific date ranges
Domain-specific filtering across 25+ bioRxiv subject categories
1 GitHub stars
Structured JSON output containing DOIs, abstracts, and citation data
Automated PDF downloading for full-text preprint analysis

Use Cases

Conducting systematic literature reviews in specialized biological fields
Analyzing temporal research trends and emerging scientific topics
Tracking recent publications from specific authors or research labs