Connecting the semantic network of scientific content.
Kleenk automatically generates maps of related papers, authors, and topics to increase citation impact and research visibility.
Connecting the Dots of Human Knowledge
Kleenk is a scholarly knowledge graph and research discovery platform designed to connect papers, authors, and conceptual themes into a single semantic network.
Quickly access all your papers
Kleenk is about spreading your research results and giving you quick access to your papers, wherever they are. We integrate with major research platforms like Mendeley, Springer, and PLoS to pull your publications into a unified, clean interface. Let us know what integrations you need next, and we will build them.
Create links with other publications
When you register a publication on Kleenk, it is automatically connected with thousands of other papers in our semantic network of scientific content. This relationship-first architecture brings your work directly to the attention of scholars who are actively research-adjacent, establishing clear pathways between related concepts.
A Kleenk Map is an intuitive visual representation of these semantic relationships. It automatically maps the contextual connections surrounding a paper, an author, or a research topic, making it easy to share the structural landscape of your field with colleagues.
Get more citations and bigger impact
By understanding the exact semantic relationships between your work and the broader state of the art, we help surface your findings to the researchers who need them most. We provide clear, transparent analytics about the impact your publications have across search engines and academic platforms.
Featured Article: Mapping the Unseen Links in Academic Publishing
Traditional scholarly indexing relies on flat, unidirectional citation lists. If Paper A cites Paper B, the link is established, but the semantic context of that link is lost. A citation could denote a direct methodology expansion, a minor disagreement, or a general literature review reference.
At Kleenk, we argue that the future of discovery lies in bidirectional semantic mapping. By building a scholarly knowledge graph, we represent the academic landscape as an active network of ideas rather than a passive catalog of PDFs. Using natural language analysis of citation contexts, Kleenk determines the nature of the link. This allows researchers to skip keyword matching entirely and trace the direct lineage of scientific theories, uncovering connections between disparate fields—such as molecular biology and material science—that traditional search engines miss.
With millions of papers now published annually, semantic graphs are no longer a novelty; they are a necessity for the modern researcher seeking to maximize their scholarly impact and navigate complexity.