ArticleNanoscale advances2019
A MoS
Article in Nanoscale advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Stem Cell-Derived Exosomes: A Comprehensive Review of Biomedical Applications, Challenges, and Future Directions.International journal of nanomedicine · 2025Pooled it
- How is Nanoarchitectonics Shaping Extracellular Vesicle Research?Advanced healthcare materials · 2026Review
- Circulating extracellular vesicle DNA (EV-DNA) and cell-free DNA in ovarian cancer: pathological relevance and diagnostic applications.Extracellular vesicles and circulating nucleic acids · 2026Review
- Revolutionizing healthcare with nanosensor technology.RSC advances · 2025Review
- Recent Advances in Fluorescence Resonance Energy Transfer (FRET) Biosensors for Exosomes.Current issues in molecular biology · 2025Review
- Nanomaterials for Molecular Detection and Analysis of Extracellular Vesicles.Nanomaterials (Basel, Switzerland) · 2023Review
- Review
- Paper-based biosensors as point-of-care diagnostic devices for the detection of cancers: a review of innovative techniques and clinical applications.Frontiers in oncology · 2023Review
- Recent developments in biosensing methods for extracellular vesicle protein characterization.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2023Review
- Exosomes as a new frontier of cancer liquid biopsy.Molecular cancer · 2022Review
- Advanced Nanotechnologies for Extracellular Vesicle-Based Liquid Biopsy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- Progress in Nanomaterials-Based Optical and Electrochemical Methods for the Assays of Exosomes.International journal of nanomedicine · 2021Review
- Metal Nanoparticles-Enhanced Biosensors: Synthesis, Design and Applications in Fluorescence Enhancement and Surface-enhanced Raman Scattering.Chemistry, an Asian journal · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circulating exosomes in body fluids are involved in many diseases and have important roles in pathophysiological processes. Specifically, they have emerged as a promising new class of biomarkers in cancer diagnosis and prognosis because of their high concentration and availability in a variety of biological fluids. The ability to quantitatively detect and characterize these nano-sized vesicles is crucial to make use of exosomes as a reliable biomarker for clinical applications. However, current methods are mostly technically challenging and time-consuming which prevents them from being adopted in clinical practice. In this work, we have developed a rapid sensitive platform for exosome detection and quantification by employing MoS
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.