🚀 Exciting update from the Nextnet team! One of the most requested features is finally live: citation metrics Now, you’ll see H-index, i10-index, impact scores, and publication count histories- for institutions, people, and publications.

In short, it’s a new way to understand how influential someone (or something) is within their field. We’ve built this with a focus on the core “textual” nodes -- person, institution, publication, article, and semantic concept.

Yesterday, my friend Ala, an incredible Bay Area biotech researcher, gave it a try. She was recently diagnosed with a benign acoustic neuroma and has been talking with specialists.

Within minutes, she pulled up insights from Nextnet that were accurate, trustworthy, and grounded in peer-reviewed scientific sources with all the relevant citation metrics. Watching her reaction was one of those moments that reminds me why we’re building this.

That’s the future I am excited about: Nextnet helping individual researchers like Ala, as well as life sciences companies and healthcare teams, quickly turn massive amounts of scientific information into actionable knowledge.

It’s like having a team of MDs and PhDs working alongside you while you focus on other big things.

A bit of context on why this matters: Trust! In life sciences, you can’t afford hallucinated answers or fake citations. That’s why we built Nextnet from the ground up to always show the primary evidence behind every response.

If it doesn’t know the answer, it simply says: I don’t know. Because when you’re developing new drugs, or dealing with your own health, you can’t afford guesses. I’d love to hear your thoughts and feedback on these new citation metrics. How can we make them even better?

🚀 Free & Starter plans are live! Nextnet is becoming the go-to AI research companion for life science teams. To support growth and unlock new features, we’re rolling out our first subscription plans: Free and Starter. 🔸Free plan All existing accounts have been moved here

Sometimes you want the full picture. Sometimes, just the essentials. With Nextnet Explorer, you can instantly expand or narrow down your view, revealing more (or fewer) connections on the map. Here’s how: 1️⃣ Open Explorer and ask your question. 2️⃣ Click the Results menu in the

Proud to highlight our portfolio company, Nextnet, advancing AI-driven biomedical discovery with a no-code platform that helps biopharma teams uncover gene, protein, and disease links. Register on Propel(x) to invest in the future of innovation: propelx.com

Nextnet has had a standout year: • Launched its AI Knowledge Platform for Life Sciences • Introduced NeXTNet Copilot & Explorer for data discovery • Expanded access through Free and Starter plans for researchers worldwide

🔍 Dive Deep into a Node In Explorer, every node tells a story. From detailed properties to hidden relationships, you can uncover how each entity connects across the biomedical knowledge network. Sometimes the most important connections are the ones you don't see right away.

How do you know if a scientific answer is actually trustworthy? Nextnet Copilot is designed to make evidence visible, not hidden. In this video, we show how Copilot transforms a single research question into a deeply connected view of scientific literature. Every answer is

What if one research paper could instantly lead you to dozens of high-quality, closely related studies? In this video, we show how Nextnet Explorer turns a research article node into an interactive entry point to the broader scientific conversation behind your question. 🔍

Happy New Year! 🎉 As we step into 2026, we’re excited to keep building tools that help researchers, scientists, and knowledge teams move faster while putting the joy of discovery front and center. Thank you to our customers, partners, and user community across the globe for