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Aug 5, 2025

Author lists to influence maps: understanding who shapes the science

Explore enhanced influence mapping in healthcare through enriched expert profiles and AI-driven insights. Understand key opinion leaders and their roles to develop targeted, evidence-based strategies for better stakeholder engagement.

Over 30 years' experience in the pharmaceuticals industry, specialising in commercialization

Author lists to influence maps: understanding who shapes the science

We were reviewing early value messages for an immunology asset. The science was solid, the data had been carefully selected, and the draft argument aligned with the target label. But it didn’t land. Not with the team, and certainly not with the cross-functional reviewers.

Then someone asked the question that stopped the room. “Which experts are saying this? Who’s backing it up in the real world?”

The truth is, we’d focused so much on the evidence that we hadn’t looked at the voices behind it. We didn’t know if the same names showed up in payer advisory groups, regional clinical networks, or HTA submissions. We just knew they had published a lot.

That moment stuck with me. Because the science was right. But the story was weak. And the difference came down to influence.

Reputation is not relevance. And relevance changes fast.

Stakeholder planning is still too often driven by publication count or name recognition. And while those signals matter, they don’t tell the full story. Influence is local. It’s topic-specific. It’s dynamic.

The person with the most publications in atopic dermatitis may not be the one shaping early diagnosis policy in France. The head of a major center might not be the most cited voice on quality-of-life outcomes in rare disease.

And yet, many teams rely on static lists. Names gathered from old decks, CRM exports, or the same handful of review articles. This makes it harder to align strategies with real-world perspectives. It also limits our ability to spot emerging voices who are shifting the conversation in a specific setting or subfield.

We’re building a better way to see who matters, and why.

Inside our platform, we’re building a structured, evolving map of influence. Each expert profile includes not just publications, but linked networks, institutions, and themes. You can filter by therapy area, mechanism of action, country, or topic - and see who is publishing, collaborating, or shaping thinking in that exact space.

This isn’t a popularity contest. It’s a way to match strategy with the right expert voices, based on context and need. You can search for researchers working on early-stage mechanisms. You can surface those driving HTA-relevant endpoints. You can see who is speaking at regional policy events, who collaborates across institutions, and who is influencing discourse on pricing and access.

These connections are visualized over time. You can track how influence shifts, who is gaining momentum, and which networks are growing in a specific domain. That’s powerful for identifying rising voices early, before they show up in every deck.

But it’s not just about discovery. It’s also about memory. Teams can log interactions, track feedback, and build a living record of engagement so that knowledge doesn’t walk out the door when someone moves roles.

AI helps bring clarity to a messy, moving picture

The building blocks are messy. Names are spelled differently. Institutions change. Affiliations are unclear. But with the right system, that complexity becomes manageable.

We use AI to disambiguate author names, map institutional ties, and identify meaningful relationships. The system suggests relevant stakeholders based on the question you’re trying to answer, not just a flat list of results.

It also scans expert publications to extract common positions and themes. For example, if five authors are discussing affordability in gene therapy, it can show where they align and where they differ. That matters when preparing for advisory boards, writing value messages, or planning scientific engagement.

And because everything is tied to a project context, the system learns what matters to your team. It becomes easier to spot the right person to review a claim, join a workshop, or support a submission.

Stakeholder planning should never be an afterthought

In value and access work, it’s easy to focus on the evidence and forget the humans behind it. But credibility comes not just from what’s said, but from who says it, and in what context.

By connecting the dots between experts, evidence, and strategy, we give teams a more grounded way to work. Faster planning. Better alignment. Fewer gaps.

When the right names are in the room, on your slides, in your messages, behind your claims, people listen differently.

We’re building the tools to help make that happen.

See it in action

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