How it Works

ScienceLeadR continuously ingests and normalizes scientific data from more than five source categories and updates over 100,000 expert profiles every day. Its identity resolution engine connects each paper, trial, patent, grant, and congress presentation to the right expert, institution, and topic, building a clean, structured, and searchable scientific knowledge base.

Data sources include: Publications · Clinical trials · Patents · Grants · Congress & conference activity

(Via OpenAlex, PubMed, NIH and other trusted scientific registries)

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Our explainable AI enriches every expert profile and organization with structured, auditable intelligence:

• Expertise extraction and topic mapping: identifying each expert's precise scientific domains.
• Semantic analysis and indication mapping: linking activity to therapeutic areas and disease categories.
• Influence and collaboration network analytics: revealing how experts connect across institutions.
• Contribution ranking based on scientific relevance: going beyond citation counts to contextual impact.
• Multilingual search and discovery: enabling global coverage without language barriers.

This knowledge graph maps the relationships between experts, teams, and institutions, supporting precise KOL identification and scientific intelligence at scale.

ScienceLeadR delivers intelligence through interactive dashboards and analytics modules designed for life sciences teams, institutions and industry partners:

• KOL mapping and segmentation: identify and tier key opinion leaders by disease area, geography or influence type.
• Rising Star detection: surface emerging scientific talent before they become widely known.
• Clinical trial investigator and site discovery: find the right investigators for study design and site selection.
• Advisory board management: identify, select, and monitor scientific and company advisory board candidates and members.
• Institutional "Scientific Footprint" dashboards: benchmark and visualize an organization's research output and reach.
• Collaboration and co-authorship network analysis: map existing relationships and identify white-space opportunities.
• Automated monitoring and competitive intelligence: track shifts in the scientific landscape in real time and monitor the ecosystem around your medical indications.
• Evidence-based reports and AI-assisted content generation: turn intelligence into actionable reports, website content, and communication assets.

This is where intelligence becomes real collaboration.

ScienceLeadR indexes over 4 million expert profiles built automatically from public scientific activity. If you are a researcher, clinician or scientist, your profile may already exist, built from your publications, clinical trial participations, congress presentations and grant activity.

Claiming your profile via ORCID activates a network effect:

• Your scientific identity is verified and your record enriched and validated
• You become visible and directly connectable to all stakeholders within your institution, colleagues across departments, research offices, clinical teams and department heads who may not know the full extent of your scientific output
• You appear in searches by pharmaceutical companies, CROs and academic partners looking for collaborators, clinical trial investigators or advisory board members
• You can review, correct and enrich your own scientific record, moving beyond automated data to a fully validated identity

Why this matters at the institutional level: when multiple experts within the same hospital, university or research center claim their profiles, ScienceLeadR automatically builds a live, verified map of that institution's internal scientific community. Expertise that is often invisible across departments — a cardiologist who also publishes in metabolic disease, a researcher with rare disease trial experience — becomes discoverable and actionable for both internal leadership and external partners.

This creates a verified scientific network within each institution, connecting internal expertise to external opportunities and turning the institution itself into a recognized, navigable scientific hub.