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The 6 research databases every PhD should monitor

PubMed, Europe PMC, arXiv, Semantic Scholar, Crossref and OpenAlex cover almost the entire scholarly record between them. Here's why each one matters and when it does.

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Relaylit Team

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The 6 research databases every PhD should monitor

Most PhD students monitor one or two databases and miss substantial signal. Six databases between them cover almost every scholarly work published in the last 25 years. Here's what each one actually does, and when it's the right place to look.

PubMed — biomedical literature

Scope: 35M+ biomedical citations from MEDLINE, PubMed Central, and NCBI Bookshelf.

PubMed is the anchor for clinical, biomedical, and life-science research. It's run by the U.S. National Library of Medicine and is authoritative for medicine. It's not great at preprints (rarely indexed) and not a general-purpose science database — biology and nursing, yes; engineering, statistics, or pure math, no.

Use it for: clinical trials, translational research, pharmacology, nursing, and public health.

See the dedicated guide to PubMed monitoring.

Europe PMC — biomedical preprints + full-text OA

Scope: 42M+ records including bioRxiv, medRxiv, and ~7M open-access full-text papers.

Europe PMC is the European equivalent of PubMed Central, maintained by EMBL-EBI. It indexes the major biomedical preprint servers, which PubMed does not. For preprint-heavy fields (COVID research, single-cell genomics, structural biology), Europe PMC fills a crucial gap.

Use it for: preprints in life sciences, open-access full-text, clinical guidelines from European bodies.

See the guide to Europe PMC.

arXiv — physics, CS, math, stats

Scope: 2.4M+ preprints, ~14,000 new submissions/month, no peer review before posting.

arXiv is where most machine learning, theoretical physics, quantum computing, and quantitative biology work lands first — often months before journal publication. Essential if your PhD touches any of these fields.

Use it for: ML, physics, math, statistics, quantitative finance, quantitative biology.

See the guide to arXiv.

Semantic Scholar — cross-discipline citation graph

Scope: 200M+ papers across all disciplines with citation graphs and AI-extracted summaries.

Semantic Scholar is Allen Institute for AI's cross-disciplinary corpus. It's especially strong for tracking how papers get cited, discovering influential related work, and catching cross-discipline citations (e.g., ML paper cited in neuroscience).

Use it for: literature reviews, citation analysis, discovering cross-discipline connections.

See the guide to Semantic Scholar.

Crossref — DOI registry, everything peer-reviewed

Scope: 155M+ records with DOIs — journals, conference papers, books, data, software.

Crossref is the not-for-profit registry that issues DOIs. It doesn't host papers; it indexes their metadata. For deduplication across databases and for clean citations in a thesis, Crossref is the backbone. It also covers conference proceedings and books, which most other databases underweight.

Use it for: conference papers, books, chapter-level work, reliable metadata and DOI resolution.

See the guide to Crossref.

OpenAlex — the open, everything-else database

Scope: 250M+ works, 90M+ authors, open under CC0.

OpenAlex is the open successor to the discontinued Microsoft Academic Graph. It covers economics, political science, engineering, climate, law, and the humanities far better than biomedical-focused databases. It's where you find policy papers, working papers, law review articles, and engineering proceedings.

Use it for: economics, policy, law, engineering, humanities, cross-disciplinary coverage where nothing else works.

See the guide to OpenAlex.

How they overlap

These six databases are not orthogonal. A well-indexed biomedical paper will appear in PubMed, Europe PMC, Semantic Scholar, Crossref, and OpenAlex simultaneously. The practical consequence: deduplication is essential. Running the same query against all six gives you the best coverage, but you need a tool that removes duplicates by DOI, not you.

A minimal PhD monitoring workflow

Most PhDs can survive on alerts from two or three of these databases:

  1. Pure biomedical PhD: PubMed + Europe PMC. Preprint coverage is the Europe PMC rationale.
  2. ML/AI PhD: arXiv + Semantic Scholar + Crossref. Semantic Scholar for citation-based discovery, Crossref for conference papers.
  3. Interdisciplinary PhD: OpenAlex + Semantic Scholar + PubMed/arXiv. OpenAlex for breadth, Semantic Scholar for citation graph, one discipline-specific DB.

The practical problem: configuring alerts for three databases means three different query languages, three different inboxes, and three separate deduplication tasks.

Or: query all six in one go

Relaylit queries all six databases on every digest run using a single plain-language brief. Results are deduplicated by DOI and ranked 0–100 against your brief. The free tier handles two active topics — which is enough for most thesis workflows.

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The 6 research databases every PhD should monitor | Relaylit Blog