ReviewRecent patents on nanotechnology2025
A Patent Analysis on Nano Drug Delivery Systems.
Review in Recent patents on nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Engineered Marine Polysaccharide Carriers for Targeted Delivery in Diabetes Management.International journal of nanomedicine · 2026Review
- The global patent landscape of the drugs for treating Alzheimer's disease from 2014-2023.BMC neurology · 2025Article
- Neural network properties of hydrophilic polymers as a key for development of the general theory of evolution.Royal Society open science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundA nano drug delivery system is an effective tool for drug delivery and controlled release, which is used for a variety of medical applications. In recent decades, nano drug delivery systems have been significantly developed with the emergence of new nanomaterials and nanotechnologies.
objectiveThis article aimed to provide insight into the technological development of nano drug delivery systems through patent analysis.
methods3708 patent documents were used for patent analysis after retrieval from the Incopat patent database.
resultsThe number of patents on nano drug delivery systems has shown a rapid growth trend in the past two decades. At present, China and the United States have obvious contributions to the number of patents. According to the patent data, the nanomaterials used in nano drug delivery system are mainly inorganic nanomaterials, lipid-based nanomaterials, and macromolecules. In recent years, the highly cited patents (≥14) for nano drug delivery systems mainly involve lipid-based nanomaterials, indicating that their technology is mature and widely used. The inorganic nanomaterials in drug delivery have received increasing attention, and the number of related patents has increased significantly after 2016. The number of highly cited patents in the United States is 250, which is much higher than in other countries.
conclusionEven after decades of development, nano drug delivery systems remain a hot topic for researchers. The significant increase in patents since 2016 can be attributed to the large number of new patents from China. However, according to the proportion of highly cited patents in total, China's patented technologies in nano drug delivery systems are not advanced enough compared to developed countries, including the United States, Canada, Germany, and France. In the future, research on emerging nanomaterials for nano drug delivery systems, such as inorganic nanomaterials, may focus on developing new materials and optimising their properties. The lipid-based and polymer- based nanomaterials can be continuously improved for the development of new nanomedicines.
Indexed as
Identifiers
38984568What 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.