academic-research-hub

To search academic papers across multiple databases, this Skill queries arXiv, PubMed, and Semantic Scholar simultaneously, normalizing results and applying date or author filters to assemble comprehensive literature review outputs.

Yes, you can export academic search results to BibTeX and RIS formats. The Skill also supports JSON and Markdown exports, enabling seamless bibliography generation and integration into downstream citation management workflows.

The best way to gather citations from multiple scholarly databases is using a multi-source search adapter that normalizes results from arXiv, PubMed, and Semantic Scholar, providing benchmark-oriented outputs and simple adapters for downstream workflows.

Yes, multi-source academic search supports filtering by publication year, date, and author. It normalizes these metadata fields across arXiv, PubMed, and Semantic Scholar to refine literature review and topic discovery results.

Yes, you need dependencies like biopython and beautifulsoup4 installed in your Python environment to enable PDF download, citation extraction, and bibliography generation from PubMed and other academic sources.

Using a consolidated academic search hub reduces the time spent switching between databases and manually collecting citations. It unifies multi-source access to scholarly papers, providing normalized results and multiple export formats for efficient literature reviews.