ArticleMicrosystems & nanoengineering2026
Data-driven visualization of silica-based nanobiomaterial dynamics for tissue regeneration.
Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Over the past two decades, silica-based nanobiomaterials (SNs) have emerged as a promising frontier in regenerative medicine, garnering substantial interest for their potential applications. Despite this growing interest, a notable lack of comprehensive and dynamic analyses remains, examining the evolution, development trends, research hotspots, and prospects of SNs in this field. To address this gap, we systematically analyzed 853 research articles published between 2006 and 2025 in the Science Citation Index Expanded (Web of Science Core Collection). Using bibliometric tools-CiteSpace, VOSviewer, and Biblioshiny-we generated data-driven visualizations to elucidate publication trends, contributions by countries/regions and institutions, journal distributions, research categories, thematic focuses, reference networks, and keyword dynamics. Our findings reveal a rapid acceleration in research output. While China leads in academic output volume, the United States maintains a significant advantage in average citation frequency, highlighting disparities in research impact. Current research hotspots include drug delivery systems, antimicrobial activity, bone regeneration, and wound healing. Keyword burst analysis identifies emerging frontiers such as mesoporous bioactive glass nanoparticles, wound healing, and zinc ion dopants. This study not only maps the trajectory of SNs in regenerative medicine but also discusses critical challenges and future directions, offering valuable insights for advancing the field.
Identifiers
What OpenQuestion holds
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.