ArticleBiology direct2026
Mapping the knowledge landscape of planarian regeneration: a century of bibliometric insights.
Article in Biology direct, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundDespite over two centuries of research, the knowledge landscape of planarian regeneration-a pivotal model for stem cell biology and regenerative medicine-remains fragmented, hindering interdisciplinary integration and translational progress. To address this gap, we conducted the first large-scale bibliometric analysis integrating machine learning-enhanced burst detection, hierarchical clustering analysis, and cross-disciplinary network mapping.
resultsWe systematically analyzed 1,685 publications (1900-2025) from the Web of Science Core Collection, constructing a high-resolution knowledge map that reveals the field's dynamic evolution. Our analysis identifies three distinct phases: initial morphological exploration (1900-2010), molecular mechanism elucidation (2011-2020), and the current era of interdisciplinary convergence (2021-2025). The United States leads in output and global collaboration, while China ranks third but exhibits limited international engagement. Burst detection highlights emerging frontiers in stem cell regulation, environmental toxicology, and computational modeling. Hierarchical clustering and discipline overlay mapping further uncover convergence between developmental biology and environmental science, neuroscience, education, and engineering. By constructing a high-resolution knowledge map, we identify underexplored thematic intersections suggested by publication trends, thereby providing a data-driven roadmap to navigate future research priorities.
conclusionThis work provides a structured synthesis of planarian regeneration research, offering a data-driven roadmap to inform future studies, while illustrating how bibliometric approaches can complement traditional literature reviews.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.